المؤلفون: Md Masud Rana, Duc Duy Nguyen

مصطلحات موضوعية: Biophysics, Biochemistry, Genetics, Molecular Biology, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, understanding genetic diseases, showcasing notable generalization, providing unbiased predictions, offering valuable insights, level graph coloring, effective virtual screening, drug design endeavors, demonstrating superior performance, capture structural features, blind test set, binding free energy, geometric graph learning, ppi leverages atom, 0 data sets, machine learning, ppi ’, ppi ), stability due, skempi 2, skempi 1, reverse mutations, protein complexes, predicting changes

Relation: https://figshare.com/articles/journal_contribution/Geometric_Graph_Learning_to_Predict_Changes_in_Binding_Free_Energy_and_Protein_Thermodynamic_Stability_upon_Mutation/24681595

الاتاحة: https://doi.org/10.1021/acs.jpclett.3c02679.s001
https://figshare.com/articles/journal_contribution/Geometric_Graph_Learning_to_Predict_Changes_in_Binding_Free_Energy_and_Protein_Thermodynamic_Stability_upon_Mutation/24681595

المؤلفون: Jian Jiang (566504), Rui Wang (52434), Guo-Wei Wei (4242466)

مصطلحات موضوعية: Genetics, Neuroscience, Pharmacology, Inorganic Chemistry, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, prediction, GGL-Tox, toxicity analysis, graph, MWCG, GBDT, Geometric Graph Learning, Tox 21 Data Challenge, model, Toxicity Prediction Toxicity analysis

Time: 21 st Century

Relation: https://figshare.com/articles/journal_contribution/GGL-Tox_Geometric_Graph_Learning_for_Toxicity_Prediction/14216447

الاتاحة: https://doi.org/10.1021/acs.jcim.0c01294.s001

المؤلفون: Zhao, Kangfei, Rong, Yu, Jiang, Biaobin, Tang, Jianheng, Zhang, Hengtong, Yu, Jeffrey Xu, Zhao, Peilin

مصطلحات موضوعية: Geometric Graph Learning, Graph Neural Network

Relation: https://repository.hkust.edu.hk/ir/Record/1783.1-135590; CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management / edited by Ingo Frommholz, Frank Hopfgartner, Mark Lee, Michael Oakes, Mounia Lalmas, Min Zhang, Rodrygo Santos. New York, NY : Association for Computing Machinery, 2023, p. 3412-3422; https://doi.org/10.1145/3583780.3614893; http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=&rft.volume=&rft.issue=&rft.date=2023&rft.spage=3412&rft.aulast=Zhao&rft.aufirst=Kangfei&rft.atitle=Geometric+Graph+Learning+for+Predicting+Protein+Mutation+Effect&rft.title=International+Conference+on+Information+and+Knowledge+Management,+Proceedings; http://www.scopus.com/record/display.url?eid=2-s2.0-85178146442&origin=inward; http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=001161549503046

الاتاحة: https://repository.hkust.edu.hk/ir/Record/1783.1-135590
https://doi.org/10.1145/3583780.3614893
http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=&rft.volume=&rft.issue=&rft.date=2023&rft.spage=3412&rft.aulast=Zhao&rft.aufirst=Kangfei&rft.atitle=Geometric+Graph+Learning+for+Predicting+Protein+Mutation+Effect&rft.title=International+Conference+on+Information+and+Knowledge+Management,+Proceedings
http://www.scopus.com/record/display.url?eid=2-s2.0-85178146442&origin=inward
http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=001161549503046