期刊文献+
任意字段
题名或关键词
题名
关键词
摘要
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息
共找到3,815篇文章
< 1 2 … 191 >
每页显示 20 50 100
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
显示方式：
Effectiveness and cost-effectiveness of risk-adapted colorectal cancer screening:a randomized controlled trial and modeling analysis 认领 引用
1
作者 Hong-Da Chen Bin Lu +19 位作者 Ju-Fang Shi Yue-Yang Zhou Ling-Bin Du Xian-Zhen Liao Dong-Hua Wei Dong Dong Yi Gao Chen Zhu Rong-Biao Ying Wei-Fang Zheng Shi-Peng Yan Hai-Fan Xiao Juan Zhang Yun-Xin Kong Fu-Rong Li Na Li Jia-Hui Luo Chen-Yu Luo Hermann Brenner Min Dai 《Military Medical Research》 SCIE CAS CSCD 2026年第6期881-893,共13页
Background:Risk-adapted colorectal cancer(CRC)screening has the potential to balance effectiveness with resource demands,yet evidence comparing it with established methods remains limited.This study aims to compare ou... Background:Risk-adapted colorectal cancer(CRC)screening has the potential to balance effectiveness with resource demands,yet evidence comparing it with established methods remains limited.This study aims to compare outcomes of risk-adapted CRC screening with colonoscopy and fecal immunochemical test(FIT)strategies.Methods:We adopted a hybrid methodology combining real-world data from a population-based CRC screening randomized controlled trial(TARGET-C)with projections from a validated Markov-based microsimulation model(MIMIC-CRC).The TARGET-C trial enrolled 19,582 participants aged 50-74 years from 6 centers in China,randomized in a 1:2:2 ratio into three groups.After applying the exclusion criteria,the final analysis included 3883 participants in the one-time colonoscopy group,7793 in the annual FIT group,and 7697 in the risk-adapted screening group.In the latter group,screening allocation was determined by a composite risk score incorporating age,sex,family history of CRC,smoking status,and body mass index,with high-risk participants referred for colonoscopy and low-risk participants for FIT.The primary outcome was detection rates of advanced neoplasm(CRC and advanced adenoma)over 4 rounds.Secondary outcomes included screening participation,colonoscopy demand,and costs from a societal perspective.Long-term effectiveness and cost-effectiveness were modeled over 15 years using MIMIC-CRC.Results:Across 4 rounds,overall participation rates(attending at least one screening round)were 42.3%(colonoscopy),99.8%(FIT),and 92.5%(risk-adapted).Detection rates of advanced neoplasms were 2.8%,2.3%,and 2.6%,respectively,with no significant differences(P>0.05).Colonoscopies needed to detect 1 advanced neoplasm were 15.4,7.9,and 9.3,respectively.From a societal perspective,the cost for detecting 1 advanced neoplasm was 15,341,21,754,and 24,300 Chinese Yuan,respectively.Over 15 years,risk-adapted screening reduced incidence by 16.7%and mortality by 21.5%compared with no screening,slightly less effective than colonoscopy(24.6%and 24.8%,respectively).Under observed real-world adherence,colonoscopy was the most cost-effective;under perfect full adherence,risk-adapted screening was the most cost-effective.Conclusions:In this population-based CRC screening trial,risk-adapted screening,colonoscopy,and FIT demonstrated comparable effectiveness,but differed in participation rates,resource utilization,and cost-effectiveness.Risk-adapted screening could serve as a complementary approach to established strategies,particularly when health resources are limited.Trial registration:Chinese Clinical Trial Registry(ChiCTR1800015506). 展开更多
关键词 Colorectal cancer(CRC) Screening Risk-adapted screening Randomized controlled trial Cost-effectiveness
暂未订购 下载PDF
Ion correlation effect on electron screening of moderately coupled plasma 认领 引用
2
作者 Fuyang Zhou Guangwei Meng +2 位作者 Yizhi Qu Yong Wu Jianguo Wang 《Matter and Radiation at Extremes》 SCIE EI CAS CSCD 2026年第4期40-50,共11页
For moderately/strongly coupled plasmas,modeling of the electron screening effect remains an unresolved problem,owing to the complicated many-body correlations among the surrounding electrons and ions.In this work,we ... For moderately/strongly coupled plasmas,modeling of the electron screening effect remains an unresolved problem,owing to the complicated many-body correlations among the surrounding electrons and ions.In this work,we investigate the ion correlation effect on electron screening of moderately coupled plasmas using an atomic-state-dependent electron-screening model.It is found that the electron density around a target ion is significantly enhanced by the ion correlation effect from surrounding ions.By considering this ion correlation effect,the electron density fluctuation induced by the target ion becomes non-spherically symmetric,which causes traditional electron screening models to underestimate the screening effects,especially for moderately/strongly coupled and weakly degenerate plasmas.The present model and findings are validated by molecular dynamics simulations of moderately coupled ultracold neutral plasmas.For moderately coupled plasmas,the Coulomb logarithm is found to decrease by about 10%-30% owing to the ion correlation effect,which should be considered when modeling plasma effects on atomic processes,radiation transport,and thermodynamic properties. 展开更多
关键词 target ion moderately coupled plasmas plasmasmodeling electron screening effect ion correlation effect electron density fluctuation electron screening molecular dynamics simulations atomic state dependent model
暂未订购 下载PDF
Screening of tyrosine phosphatase SHP2(PTPN11)inhibitors from natural products with therapeutic potential for receptor tyrosine kinase-driven cancer 认领 引用 被引量：1
3
作者 Lingfeng Chen Di Ke +4 位作者 Zheng Jiang Ruixiang Luo Jie Li Lulu Zheng Guang Liang 《Journal of Pharmaceutical Analysis》 SCIE CAS CSCD 2026年第2期488-499,共12页
Src homology 2 domain-containing phosphatase 2(SHP2)is a pivotal regulator linking receptor tyrosine kinase(RTK)signaling.Abnormal SHP2 activity has been associated with tumorigenesis and metastasis.Although some SHP2... Src homology 2 domain-containing phosphatase 2(SHP2)is a pivotal regulator linking receptor tyrosine kinase(RTK)signaling.Abnormal SHP2 activity has been associated with tumorigenesis and metastasis.Although some SHP2-targeting modulators have entered clinical trials,U.S.Food and Drug Administraction(FDA)-approved SHP2 targeting drugs are still not available.Herein,we describe cooperative biochemical inhibition experiments that facilitate the identification of both catalytic and allosteric SHP2 inhibitors using an in-house natural product(NP)library.Based on this screening methodology,structurally diverse sets of NPs were characterized,among which dihydrotanshinone I(DHT)potently inhibited the wild-type SHP2 protein tyrosine phosphatase(PTP)domain and gain-of-function SHP2 variants.Trichostatin A(TSA)bound to the“tunnel”binding site,acting as an allosteric inhibitor.This study illustrates an optimized screening methodology and tactics to identify novel SHP2 modulators from NPs and provides a foundation for further NP-based drug development for the treatment of RTK-driven cancer. 展开更多
关键词 SHP2 High-throughput screening Lead compound Natural products Allosteric inhibitor
暂未订购 下载PDF
Antibody screening for tumor and immune hotspot targets:The frontier of new methods and technologies 认领 引用 被引量：1
4
作者 Yaping Zhou Yitan Zou +6 位作者 Shaodong Lv Dan Tan Guangyao Li Wenyan Fu Changhai Lei Mingdong Lu Shi Hu 《Journal of Pharmaceutical Analysis》 SCIE CAS CSCD 2026年第2期393-412,共20页
Advancements in tumor immunotherapy highlight the significant potential of antibody drugs,a key category of biological agents,for treating cancer and autoimmune diseases.This paper begins by defining and classifying k... Advancements in tumor immunotherapy highlight the significant potential of antibody drugs,a key category of biological agents,for treating cancer and autoimmune diseases.This paper begins by defining and classifying key targets in tumor immunity,as well as discussing their structural and functional characteristics.Subsequently,it elaborates on innovative technologies for antibody drug screening,which,when integrated with contemporary molecular biology,biotechnology,and computational biology,have substantially enhanced the efficiency and accuracy of target identification and antibody drug screening processes.Despite the promising prospects of tumor immunotherapy,certain limitations persist in its practical implementation.In conclusion,this paper offers a comprehensive examination of the cutting-edge developments in tumor immunotherapy,focusing on the aspects of tumor immunotherapy itself,critical targets for immunotherapy,and novel technologies and methodologies for antibody screening.This analysis is crucial for advancing the field of tumor immunotherapy and for enhancing both therapeutic efficacy and safety.Furthermore,research and development(R&D)of antibody drugs in other domains,such as autoimmune and inflammatory diseases,can benefit from it. 展开更多
关键词 Tumor immunotherapy Hotspot targets Antibody drug screening Target discovery Innovative technologies and methods
暂未订购 下载PDF
Breaking the boundaries of affinity selection-mass spectrometry:From ligand screening to target-ligand interaction insights 认领 引用 被引量：1
5
作者 Pamella Christina Ortega de Oliveira Bruno Sergio do Amaral +2 位作者 Carmen Lucia Cardoso Quezia Bezerra Cass Marcela Cristina De Moraes 《Journal of Pharmaceutical Analysis》 SCIE CAS CSCD 2026年第2期347-358,共12页
Affinity selection mass spectrometry(AS-MS)has emerged as a powerful label-free technique for identifying and characterizing ligand-target interactions.This review explores the diverse applications of AS-MS in drug di... Affinity selection mass spectrometry(AS-MS)has emerged as a powerful label-free technique for identifying and characterizing ligand-target interactions.This review explores the diverse applications of AS-MS in drug discovery,including its role in selective screening,binding site characterization,and quantitative affinity determination.We discuss the use of AS-MS for determining equilibrium dissociation constants(KD)and competitive binding parameters(affinity competition experiment 50%(ACE50)),highlighting its ability to rank ligand affinities efficiently.The review also examines AS-MS applications in fragment-based drug discovery(FBDD),screening for molecular glues,and investigating interactions with membrane proteins.Moreover,we address key technical challenges,including competitive binding effects,protein stability,and ligand dissociation kinetics,along with recent advancements in automation and artificial intelligence(AI)integration.Rather than providing a comprehensive literature review,this work aims to broaden the applicability of AS-MS assays and encourage researchers to explore its use in underutilized contexts.By providing rapid and high-sensitivity affinity measurements,AS-MS continues to expand its role in drug discovery and structural biology,complementing conventional biophysical techniques. 展开更多
关键词 Affinity selection mass spectrometry Competition assays Drug discovery Fragment screening KD determination Ligand-target interactions Molecular glues
暂未订购 下载PDF
Phenotype–Target Coupled Drug Screening:A High-Efficiency Framework for Innovative Drug Discovery from CHMs 认领 引用 被引量：1
6
作者 Wei Zhou Yue Gao 《Engineering》 SCIE EI CSCD 2026年第2期10-13,共4页
Chinese herbal medicines(CHMs)serve as the cornerstone of traditional Chinese medicine(TCM)practices and are vital sources of inspiration for novel drug discovery.Many landmark drugs,including artemisinin,ephedrine,bi... Chinese herbal medicines(CHMs)serve as the cornerstone of traditional Chinese medicine(TCM)practices and are vital sources of inspiration for novel drug discovery.Many landmark drugs,including artemisinin,ephedrine,bicyclol,berberine,and dl-3-nbutylphthalide,originated from CHMs.Nevertheless,only 23.5%of the new drugs approved by the US Food and Drug Administration(FDA)over the past four decades have stemmed from botanical drugs,natural products,or their derivatives[1]. 展开更多
关键词 natural products phenotype target coupled drug screening botanical drugsnatural Chinese Herbal Medicines chinese herbal medicines chms serve novel drug discoverymany traditional chinese medicine tcm practices botanical drugs
暂未订购 下载PDF
Enhancing FIT-based colorectal cancer screening through risk prediction:a comparative evaluation of 17 models in a large Chinese cohort 认领 引用
7
作者 Le Wang Weimiao Wu +14 位作者 Bin Liu Chen Zhu Yumeng Ding Yi Zhou Weiwei Chen Lijuan Dai Xueni Chen Yuefan Shen Tingting Pan Xiaohui Sun Huizhang Li Dong Hang Yingying Mao Partha Basu Lingbin Du 《Cancer Biology & Medicine》 SCIE CAS CSCD 2026年第7期1031-1037,共7页
Colorectal cancer(CRC),the third most common cancer and the second leading cause of cancer-related death globally,is responsible for more than 1.9 million new cases and 0.9 million deaths reported annually1.Randomized... Colorectal cancer(CRC),the third most common cancer and the second leading cause of cancer-related death globally,is responsible for more than 1.9 million new cases and 0.9 million deaths reported annually1.Randomized controlled trials and cohort studies have demonstrated that screening can significantly decrease CRC incidence and mortality2.Current screening guidelines primarily recommend CRC screening for individuals at average risk,typically starting at predefined ages2. 展开更多
关键词 risk prediction comparative evaluation cohort studies fit based randomized controlled trials controlled trials colorectal cancer screening colorectal cancer crc
暂未订购 下载PDF
Deep learning advances high-throughput toxicity screening of chemicals at multi-biological levels 认领 引用
8
作者 Xinyue Wu Ya Zhu +3 位作者 Jie Hou Jianying Zhang Jiang Xu Daohui Lin 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2026年第6期706-719,共14页
Deep learning(DL)has emerged as a powerful tool for modeling unstructured data,thereby improving prediction accuracy and expanding the application of machine learning(ML)in toxicity assessment.However,selecting suitab... Deep learning(DL)has emerged as a powerful tool for modeling unstructured data,thereby improving prediction accuracy and expanding the application of machine learning(ML)in toxicity assessment.However,selecting suitable DL architectures and training methods for toxicity prediction remains challenging due to the lack of systematic comparisons regarding data types and modeling tasks across biological levels,which hinders the development of optimal models.To address these challenges,we review the current DL applications for predicting toxic events at four stages within the adverse outcome pathway framework:toxicophore-induced effects at the chemical exposure stage,activation of toxic pathways at the macro-molecular level(molecular initiating events),toxicogenomic responses at the cellular level(key events),and observable toxic effects(adverse outcomes)at the tissue/organ/individual levels.We compare the technical aspects of various DL methods for toxicity prediction and discuss how interpretability analyses can reveal the underlying molecular mechanisms and modes of toxic action.We also summarize current solutions to the challenges of increased data requirements and reduced interpretability of DL compared to traditional ML,and propose the development of a general environmental toxicological model.We hope that the interdisciplinary insights provided in this review can accelerate the development and application of new DL models in high-throughput toxicity screening,thereby advancing risk management strategies based on modes of toxic action. 展开更多
关键词 Deep learning Toxicity prediction Adverse outcome pathway High-throughput screening
暂未订购 下载PDF
TransCP-Net:Transformer-Based Spatiotemporal Pose Representation for Early Screening of Infant Cerebral Palsy 认领 引用
9
作者 Amel Ksibi Manel Ayadi +3 位作者 Hela Elmannai Monia Hamdi Ala Saleh Alluhaidan Imen Ksibi 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第5期1-32,共32页
Cerebral palsy is a prevalent neurodevelopmental syndrome that disrupts motor development in children,making early detection vital for effective intervention.Traditional clinical assessments rely on subjective observa... Cerebral palsy is a prevalent neurodevelopmental syndrome that disrupts motor development in children,making early detection vital for effective intervention.Traditional clinical assessments rely on subjective observations,often missing minor motor abnormalities until they become severe,typically after 12 months of age.This article presents a novel deep learning model,TransCP-Net(Transformer-based Cerebral Palsy Network),designed for early detection of infant cerebral palsy through spatiotemporal pose representation learning.The architecture employs hierarchical spatial and temporal attention to analyze complex motion patterns in video sequences,integrating multimodal data for improved accuracy.TransCP-Net incorporates specialized preprocessing,including temporal smoothing and trajectory encoding,to enhance feature learning.Tests on 137O infant movement videos yielded impressive results:94.7%sensitivity,92.3%specificity,and an AUC-ROC of 0.968,outperforming ten state-of-the-art methods.Notably,it achieved a sensitivity of 96.3%within the critical 9-15 weeks range of fidgety movements,enabling timely interventions.Attention visualization highlights key areas such as the hips and shoulders,reinforcing clinical relevance.TransCpNet demonstrates effectiveness across diverse clinical settings,serving as a viable,non-invasive tool for early cerebral palsy detection. 展开更多
关键词 Cerebral palsy infant screening transformer networks pose estimation spatiotemporal analysis deep learning medical diagnosis
暂未订购 下载PDF
Integrative combination of gas-liquid-phase plasma mutagenesis and high-throughput screening to enhance eicosapentaenoic acid production by Schizochytrium sp. 认领 引用
10
作者 Chao YU Jialin ZHU +8 位作者 Jinyong WU Xiangsong CHEN Shuhuan LU Xiangyu LI Sa ZHAO Weiwei ZHU Min SHU Mianbin WU Jianming YAO 《Journal of Zhejiang University-SCIENCE B》 SCIE CAS CSCD 2026年第3期250-263,共14页
Dietary consumption of eicosapentaenoic acid(EPA)offers diverse health benefits,such as the regulation of blood triglycerides and the prevention of cardiovascular diseases.EPA is naturally synthesized by Schizochytriu... Dietary consumption of eicosapentaenoic acid(EPA)offers diverse health benefits,such as the regulation of blood triglycerides and the prevention of cardiovascular diseases.EPA is naturally synthesized by Schizochytrium sp.;however,its low production level limits its potential for industrial application.The goal of this study was to increase EPA productivity in Schizochytrium sp.by gas—liquid-phase plasma(GLPP)mutagenesis combined with a high-throughput screening method.First,a diverse array of mutants was generated through GLPP mutagenesis.Next,the mutants with elevated EPA productivity were identified through near-infrared spectroscopy(NIRS).Notably,the M7-25 mutant demonstrated the highest and most consistent EPA production.After the culture medium was optimized,the EPA titer increased from 0.45 to 1.70 g/L.Finally,a cofermentation strategy using ammonia and glucose feeding was employed,and the EPA titer reached 2.08 g/L in a 7-L fermenter.This study reports the highest EPA titer achieved in Schizochytrium sp.via mutagenesis to date,highlighting its great market potential for industrial production. 展开更多
关键词 Eicosapentaenoic acid(EPA) Schizochytrium sp. Mutagenesis High-throughput screening Near-infrared spectroscopy(NIRS)
暂未订购 下载PDF
High-Throughput Screening MgFe6Ge6-Prototype Bilayer Kagome Family 认领 引用
11
作者 Lan-Ting Shi Jian-Guo Si +5 位作者 Hui-Bin Zhou Xian-Biao Shi Peng-Fei Liu Le-De Xian Ping Zhang Bao-Tian Wang 《Chinese Physics Letters》 SCIE EI CAS CSCD 2026年第3期207-239,共33页
Kagome materials host intertwined phenomena,including nontrivial band topology,superconductivity,and complex charge-density-wave order,making them an important platform in condensed-matter physics and materials scienc... Kagome materials host intertwined phenomena,including nontrivial band topology,superconductivity,and complex charge-density-wave order,making them an important platform in condensed-matter physics and materials science.Motivated by extensive studies on the AV3Sb5 family of materials,we perform high-throughput first-principles calculations to screen bilayer kagome AM6X6 compounds with an MgFe6Ge6-prototype structure as potential weak-coupling superconductors.Thereafter,we systematically evaluate the thermodynamic,dynamic,and magnetic stabilities,followed by electron–phonon coupling(EPC)calculations and superconducting transition temperature estimates based on the Allen–Dynes-modified McMillan equation.From 168 candidates,we identify 31 weak-coupling superconductors that satisfy both the thermodynamic and dynamical stability criteria in our screening workflow.Focusing on compounds without partially filled f shells,we obtain superconducting transition temperatures(Tc)of 0.65–3.97 K with EPC constants λ=0.37–0.62,indicating conventional weak-coupling superconductivity.The EPC is typically driven by vibrations within the kagome layers,with Sn-containing materials exhibiting low-frequency soft modes that contribute significantly to λ.By providing a global mapping of stability and weak-coupling superconductivity in bilayer kagome AM6X6 compounds,this study offers a practical theoretical database and design principles for future experimental exploration. 展开更多
关键词 superconducting transition temperature bilayer kagome thermodynamic stability high throughput screening weak coupling superconductors bilayer kagome am x compounds kagome materials first principles calculations
暂未订购 下载PDF
High-throughput computational screening of functionalized MOFs for energy-efficient CO2capture:Balancing selective CO2adsorption performance and energy inputs 认领 引用
12
作者 Sen Liu Zhe Sun +8 位作者 Bo Liao Huili Zhang Ling Zhang Yuchen Huang Lin Wan Maohuai Wang Shuxian Wei Baojun Wei Xiaoqing Lu 《Journal of Energy Chemistry》 SCIE EI CAS CSCD 2026年第3期136-145,共10页
The rational design of high-performance CO2adsorbents remains a critical challenge in addressing global carbon emissions,with metal-organic frameworks(MOFs)emerging as promising candidates due to their tunable pore... The rational design of high-performance CO2adsorbents remains a critical challenge in addressing global carbon emissions,with metal-organic frameworks(MOFs)emerging as promising candidates due to their tunable pore environments.However,the lack of systematic guidelines for functional group selection has hindered their practical implementation in carbon capture applications.Here,this gap was addressed by developing a comprehensive design framework through high-throughput computational screening.Through construction of a topology-directed database of 4797,integrating 10 metal centers with 144 functionalized ligands(18 ligands modified by–NH2,–NO2,–CH3,–CF3,–SH2,–SO2,–OH,and–OLi)across 36 topologies,the fundamental structure–property relationships governing CO2capture performance was established.Multi-metric evaluation reveals that–NO2,–SO2,and–OLi dramatically enhance CO2selectivity over CH_4/N2via selectivity(Sads),working capacity(ΔN),adsorbent performance score(APS),sorbent selection parameter(Ssp),and renewability R.Specially,ΔN rises from 2.34(pristine)to 5.91–7.94 mmol g-1and Sadssurges from 24.94/40.36 to 121.11/176.87(–NO2),149.94/215.54(–SO2),and 58.64/267.44(–OLi).Besides,the critical trade-off between adsorption strength and renewability demonstrates that enhanced performance comes at the cost of reduced renewability,where stronger CO2affinity(isosteric heat of-29.15,-29.96,and-30.09 for–NO2,–SO2,and–OLi)compromises renewability(R reduced by -50%).To resolve this trade-off,a novel energy efficiency(η)metric was introduced,which holistically evaluates both adsorption performance(Sads,ΔN,APS,Ssp,and R)and energy inputs(desorption heat,pressure-swing energy,net loss).This leads to the identification of–SO2as the optimal functional group that balances exceptional CO2capture(η=6.17/12.78 for CO2over CH_4/N2),surpassing the second higher of 4.74/8.80 in–CF3and 0.99/2.18 in non-functionalized counterparts.Adopting high-throughput computational screening methods,this work provides both fundamental insights into host–guest interactions in functionalized MOFs and a practical framework for designing next-generation adsorbents,bridging the gap between materials discovery and process engineering considerations in carbon capture technologies. 展开更多
关键词 Metal-organic frameworks High-throughput computational screening Selective CO2adsorption Functional group engineering Energy efficiency
暂未订购 下载PDF
Six-fold swelling expansion microscopy assisted cell painting for high-content phenotypic screening 认领 引用
13
作者 Junfang XIE Yipeng DONG +3 位作者 Jin WANG Zhichao DENG Jianguo TIAN Qing YE 《Optoelectronics Letters》 EI 2026年第2期111-117,共7页
Imaging-based phenotypic screening uses cellular phenotypes to describe the drug performance, which generally focuses on single cellular feature, lacking of a comprehensive characterization. Here, we propose a high co... Imaging-based phenotypic screening uses cellular phenotypes to describe the drug performance, which generally focuses on single cellular feature, lacking of a comprehensive characterization. Here, we propose a high content phenotypic screening method based on expansion microscopy(ExM) assisted cell painting, which enables multi-channel imaging with approximately 50 nm resolution. As a demonstration, we applied this method to a phenotypic screening involving five drugs. The morphological attributes of three subcellular structures were summarized to consist a “fingerprint” describing the drug effect. The proposed method can provide comprehensive and detailed clues for drug evaluation, enriching the content of phenotypic screening. 展开更多
关键词 six fold swelling expansion microscopy cellular feature five drugs expansion microscopy exm phenotypic screening cell painting cellular phenotypes describe drug performance
暂未订购 下载PDF
Current colorectal cancer screening in developing countries:Identifying optimal approaches 认领 引用
14
作者 Yan-Ping Wu Min Chen Lei Wang 《World Journal of Gastroenterology》 SCIE CAS 2026年第26期28-40,共13页
Colorectal cancer(CRC)screening has proven effective in reducing cancer-related mortality through early detection.Emerging epidemiological patterns,particularly the rising incidence of early-onset CRC and aging,call f... Colorectal cancer(CRC)screening has proven effective in reducing cancer-related mortality through early detection.Emerging epidemiological patterns,particularly the rising incidence of early-onset CRC and aging,call for changes for current inadequate CRC screening programs in developing countries.The benefits of CRC screening have come out in developed countries,while more prevailing environmental risk factors coupled with a gap in CRC screening implementation are observed in developing countries.Conventional screening modalities like fecal immunochemical tests are more acceptable,but lack sensitivity for advanced adenomas.Authoritative colonoscopy manifests high efficacy but suffers from poor adherence.Meanwhile,novel screening modalities require optimization.Comparatively high-adherence non-invasive tools could sort high-risk sets for colonoscopy.Growing evidence highlights the potential role of risk stratification approach beyond conventional age,which may refine colonoscopy referral.And microsimulation modeling is valuable for optimizing and evaluating screening strategies before and after screening.It suggests that an adaptive and organized screening framework may offer optimal population-level benefits. 展开更多
关键词 Colorectal cancer screening Risk stratification Microsimulation modeling Fecal immunochemical test Colonoscopy Early-onset colorectal cancer
暂未订购 下载PDF
Efficient Structural Reliability Analysis via Adaptive Hidden Neuron Screening in Extreme Learning Machines 认领 引用
15
作者 Yunlong Teng Ying Liu +1 位作者 Jianhong Liang Jinshang Luo 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第6期274-300,共27页
Over the past decades,surrogate model-aided reliability analysis approaches grounded in active learning have undergone extensive development.However,Gaussian process models like Kriging suffer from severe computationa... Over the past decades,surrogate model-aided reliability analysis approaches grounded in active learning have undergone extensive development.However,Gaussian process models like Kriging suffer from severe computational burdens when handling high-dimensional problems or large samples.Conversely,machine learning algorithms such as extreme learning machines exhibit high computational efficiency but lack variance output and stability,making them difficult to employ for adaptive active learning strategies.To address these limitations,this study proposes a population Monte Carlo method based on an adaptive closed neuron extreme learning machine.First,a closed neuron strategy uses a consistency metric to screen and retain neurons containing the most informative features.This preserves the fast analytical solution advantage of extreme learning machines while significantly improving the reconstruction accuracy and stability of the true limit state surface.Second,to overcome the lack of variance in the output,an ensemble model is constructed.By calculating predictive mean and standard deviation,a learning function is formulated for efficient adaptive sample enrichment.Finally,utilizing the adaptive importance sampling mechanism of the population Monte Carlo framework,the auxiliary density function is optimized to progressively shift the sampling center toward high contribution failure regions.Four engineering examples confirm that the proposed method achieves exceptional computational efficiency and high accuracy for complex reliability analysis involving extremely small failure probabilities. 展开更多
关键词 Structural reliability analysis machine learning models enhanced learning framework population Monte Carlo feature screening
暂未订购 下载PDF
Development of a novel NanoBRET high-throughput drug screening assay for human GnRH receptor using sulfo-cyanine 5 fluorophore 认领 引用 被引量：1
16
作者 Li Shen Xiaozhe Du +6 位作者 Yakai Yang Ming Su Rong Rong Jia Meng Lee Wei Lim David G.Fernig Zhi-Liang Lu 《Journal of Pharmaceutical Analysis》 SCIE CAS CSCD 2026年第2期413-427,共15页
G protein-coupled receptors(GPCRs),the largest superfamily of cell surface receptors and targets for over 30%of current clinical drugs,remain crucial for future therapeutic development.This study introduces a novel Na... G protein-coupled receptors(GPCRs),the largest superfamily of cell surface receptors and targets for over 30%of current clinical drugs,remain crucial for future therapeutic development.This study introduces a novel NanoLuciferase(NanoLuc,Nluc)bioluminescence resonance energy transfer(NanoBRET)-based ligand binding assay,utilizing the gonadotrophin-releasing hormone(GnRH)receptor as a model system.Our study demonstrates that sulfo-cyanine 5(sCy5)is an ideal fluorophore compatible with NanoBRET,enabling sensitive measurement of ligand binding on living cell membranes.A novel GnRH analogue,sCy5-D-Lys6-GnRH,was synthesized by conjugating sCy5on the substituted D-Lys6of the native GnRH I.Substitution of Gly6 of GnRH I with sCy5-D-Lys6stabilizes theβII’turn configuration of the decapeptide that exhibits high affinity and specificity for GnRH receptors while maintaining agonist activity.To address the characteristically low expression of the human GnRH receptor(hGnRHR),we engineered a modified receptor by fusing NanoLuc with an interleukin-6(IL6)secretory signal peptide(secNluc)to the N-terminus of the hGnRHR and deleting Lys191(K191Δ)within the 2nd extracellular loop.This modification,N-terminal secretory signal peptide-NanoLuciferase-human gonadotropin-releasing hormone receptor with K191 deletion(N-secNluc-hGnRHR-K191Δ)significantly enhances receptor expression without altering ligand binding affinity,resulting in a robust BRET signal detection(Z'≥0.5)between sCy5-D-Lys6-GnRH and the modified receptor.Our innovative approach using sCy5to conjugate ligands offers several key advantages:high sensitivity and specificity,remarkably low non-specific binding(NSB),compatibility with live-cell assays,and suitability for high-throughput drug screening,which may accelerate the discovery of new therapeutics for GnRH receptor signal-selective drugs and potentially for other GPCRs. 展开更多
关键词 G protein-coupled receptors(GPCRs) High throughput drug screening NanoBRET Fluorescent ligand Gonadotrophin-releasing hormone(GnRH) GnRH receptor
暂未订购 下载PDF
Detection of human saliva using surface-enhanced Raman spectroscopy combined with fractionation processing and machine learning for noninvasive screening of nasopharyngeal carcinoma 认领 引用
17
作者 Zijie Wu Shihong Hou +2 位作者 Sufang Qiu Youliang Weng Duo Lin 《Journal of Innovative Optical Health Sciences》 SCIE EI CSCD 2026年第1期87-95,共9页
Nasopharyngeal carcinoma(NPC)is a malignant tumor prevalent in southern China and Southeast Asia,where its early detection is crucial for improving patient prognosis and reducing mortality rates.However,existing scree... Nasopharyngeal carcinoma(NPC)is a malignant tumor prevalent in southern China and Southeast Asia,where its early detection is crucial for improving patient prognosis and reducing mortality rates.However,existing screening methods suffer from limitations in accuracy and accessibility,hindering their application in large-scale population screening.In this work,a surface-enhanced Raman spectroscopy(SERS)-based method was established to explore the profiles of different stratified components in saliva from NPC and healthy subjects after fractionation processing.The study findings indicate that all fractionated samples exhibit diseaseassociated molecular signaling differences,where small-molecule(molecular weight cut-offvalue is 10 kDa)demonstrating superior classification capabilities with sensitivity of 90.5%and speci-ficity of 75.6%,area under receiver operating characteristic(ROC)curve of 0:925±0:031.The primary objective of this study was to qualitatively explore patterns in saliva composition across groups.The proposed SERS detection strategy for fractionated saliva offers novel insights for enhancing the sensitivity and reliability of noninvasive NPC screening,laying the foundation for translational application in large-scale clinical settings. 展开更多
关键词 Saliva SERS machine learning nasopharyngeal carcinoma screening
暂未订购 下载PDF
Rationally engineered a universal far-red fluorogenic substrate of bile salt hydrolase for functional imaging and inhibitor screening 认领 引用
18
作者 Wenchao Chen Xiaoting Niu +7 位作者 Xinyu Liang Guanghao Zhu Xue Zhang Qing Gong Cen Xie Guangbo Ge Ping Wang Yuqi He 《Chinese Chemical Letters》 SCIE CAS CSCD 2026年第4期642-646,共5页
Bile salt hydrolase(BSH),a gatekeeper enzyme in bile acid metabolism,regulates the host's bile acid profile and is closely associated with various metabolic diseases.However,suitable methods for measuring its acti... Bile salt hydrolase(BSH),a gatekeeper enzyme in bile acid metabolism,regulates the host's bile acid profile and is closely associated with various metabolic diseases.However,suitable methods for measuring its activity in living systems remain scarce.Herein,a novel far-red fluorogenic substrate(CA-ABEI)for BSH was designed and developed by conjugating cholic acid with an aminocoumarin fluorophore.Under physiological conditions,CA-ABEI can be rapidly hydrolyzed by BSH from various bacterial sources to form ABEI,triggering strong fluorescence enhancement at 620 nm.Specifically activated by BSH,CA-ABEI enables accurate detection of BSH activity in biospecimens,including pure enzymes,bacteria and intact fecal slurries,and the first bioimaging of BSH activity in both BSH-expressing engineered Escherichia coli and natural intestinal microbiota.Moreover,a high-throughput screening platform was established using CA-ABEI,enabling the evaluation of BSH inhibitory effects from 96 herbal extracts.Pu-erh tea emerged as a potent BSH inhibitor and its active components were subsequently characterized,aiding the discovery of novel BSH inhibitors.Collectively,CA-ABEI proved to be a powerful tool for monitoring BSH activity in complex biological systems with value for exploring physiological functions and rapid screening of inhibitors. 展开更多
关键词 Bile salt hydrolase Fluorescent probe Coumarin High-throughput screening Bioimaging
暂未订购 下载PDF
Multidimensional host-guest molecule screening via 96-well plate assays to facilitate the development of natural product nanomicelles 认领 引用
19
作者 Wenzheng Li Ke Zhang +7 位作者 Wenjing Liu Ting Li Wei Li Lijuan Wu Maodong Wang Hangyun He Pengfei Tu Yuelin Song 《Chinese Chemical Letters》 SCIE CAS CSCD 2026年第3期447-455,共9页
Nanomedicine preparation is a promising approach for the effective utilization of natural bioactive products.However,the successful fortification of natural products into nanocarriers in a host-guest manner remains a ... Nanomedicine preparation is a promising approach for the effective utilization of natural bioactive products.However,the successful fortification of natural products into nanocarriers in a host-guest manner remains a great challenge.Here,a 96-WP TFH/TM strategy integrating 96-well plate mediated thin-film hydration,turbidity measurement,stability evaluation,and relative quantification,was proposed to screen host-guest complexes.As a proof-of-concept,biomimetic bile acid-lecithin nanomicelles(BA-L NMs)were used as nanocarriers and 51 natural products were assayed for guest molecules.Muscone came out as the fit-for-purpose candidate to produce stable NMs,namely M-NMs.Following spectroscopic characterization and molecular dynamics calculation,hydrophobic interactions,hydrogen bonding,and salt bridges were demonstrated as the primary correlations amongst taurocholic acid,lecithin,and muscone.M-NMs exhibited significant in vitro and in vivo anti-inflammation features.Together,we developed a 96-WP TFH/TM strategy to achieve high-throughput host-guest complex screening,facilitating the development of natural product nanomicelles. 展开更多
关键词 Bile acid-lecithin nanomicelles Host-guest complex screening Natural products Anti-inflammation Muscone
暂未订购 下载PDF
Equivariant graph neural network-based accurate and ultra-fast virtual screening of small molecules targeting miRNA-protein complex 认领 引用
20
作者 Huabei Wang Zhimin Zhang +2 位作者 Guangyang Zhang Ming Wen Hongmei Lu 《Journal of Pharmaceutical Analysis》 SCIE CAS CSCD 2026年第3期775-786,共12页
MicroRNAs(miRNAs)are small RNA molecules with significant therapeutic potential for treating various diseases,underscoring the need for effective methods to screen drugs targeting disease-associated miRNAs.In this stu... MicroRNAs(miRNAs)are small RNA molecules with significant therapeutic potential for treating various diseases,underscoring the need for effective methods to screen drugs targeting disease-associated miRNAs.In this study,we introduce miRPVS,a rapid virtual screening approach designed to identify small molecule drugs targeting miRNA-protein complex.miRPVS identifies binding pockets on the surface of these complexes,expanding the scope of potential small molecule targets.It employs an equivariant graph neural network model to extract three-dimensional(3D)structure features of small molecules,enabling accurate prediction of docking scores.Using miRPVS,four complexes involved in primiRNA cleaving,pre-miRNA transport,and mRNA depress were identified as promising targets.For each target,hit compounds were screened from the ZINC20 database,which contains approximately 600 million drug-like small molecules.MiRPVS predicted the docking score for these compounds,with Pearson correlation coefficients between predicted and experimentally docked scores comparable to those obtained through twice docking.Notably,the average deviation was only 0.67%across the four complexes.Remarkably,the entire screening process for all four complexes was completed in 14 h using just four V100 GPUs.Additionally,we integrated AlphaFold3-predicted structures into the miRPVS workflow,enabling virtual screening of small molecules against miRNA-protein complexes without experimentally determined structures.miRPVS demonstrated performance comparable to traditional docking methods while significantly reducing computational time and resource requirements.This innovative approach holds great promise for accelerating the discovery of small molecule drugs targeting miRNA-regulated pathways,addressing a critical gap in miRNA therapeutics. 展开更多
关键词 microRNA-protein complex Deep learning Drug discovery Virtual screening
暂未订购 下载PDF
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
上一页 1 2 … 191 下一页 到第 页
在线咨询 使用帮助 返回顶部 意见反馈