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Guixia Liu
Researcher at East China University of Science and Technology
Publications - 189
Citations - 7103
Guixia Liu is an academic researcher from East China University of Science and Technology. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 34, co-authored 156 publications receiving 4954 citations. Previous affiliations of Guixia Liu include Chinese Academy of Sciences & East China Normal University.
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admetSAR: a comprehensive source and free tool for assessment of chemical ADMET properties.
TL;DR: An ADMET structure-activity relationship database that collects, curates, and manages available ADMET-associated properties data from the published literature, and provides a user-friendly interface to query a specific chemical profile, using either CAS registry number, common name, or structure similarity.
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Prediction of Drug-Target Interactions and Drug Repositioning via Network-Based Inference
Feixiong Cheng,Chuang Liu,Jing Jiang,Weiqiang Lu,Weihua Li,Guixia Liu,Wei-Xing Zhou,Jin Huang,Yun Tang +8 more
TL;DR: Three supervised inference methods were developed here to predict DTI and used for drug repositioning and indicated that these methods could be powerful tools in prediction of DTIs and drugRepositioning.
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admetSAR 2.0: web-service for prediction and optimization of chemical ADMET properties
Hongbin Yang,Chaofeng Lou,Lixia Sun,Jie Li,Yingchun Cai,Zhuang Wang,Weihua Li,Guixia Liu,Yun Tang +8 more
TL;DR: This update of admetSAR, developed as a comprehensive source and free tool for the prediction of chemical ADMET properties, focuses on extension and optimization of existing models with significant quantity and quality improvement on training data.
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ADMET-score - a comprehensive scoring function for evaluation of chemical drug-likeness.
TL;DR: The results suggested that the ADMET-score would be a comprehensive index to evaluate chemical drug-likeness, and might be helpful for users to select appropriate drug candidates for further development.
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In silico ADMET prediction: recent advances, current challenges and future trends.
TL;DR: Several new promising research directions were provided, such as computational systems toxicology (toxicogenomics), data-integration and meta-decision making systems, which could be used for systemic in silico ADMET prediction in drug discovery and hazard risk assessment.