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VISAR: an interactive tool for dissecting chemical features learned by deep neural network QSAR models.
Ding, Qingyang; Hou, Siyu; Zu, Songpeng; Zhang, Yonghui; Li, Shao.
Affiliation
  • Ding Q; MOE Key Laboratory of Bioinformatics, TCM-X Centre/Bioinformatics Division, BNRIST, Tsinghua University, Beijing 10084, China.
  • Hou S; School of Pharmaceutical Sciences, MOE Key Laboratory of Bioorganic Phosphorus Chemistry and Chemical Biology, Tsinghua University, 100084 Beijing, China.
  • Zu S; MOE Key Laboratory of Bioinformatics, TCM-X Centre/Bioinformatics Division, BNRIST, Tsinghua University, Beijing 10084, China.
  • Zhang Y; MOE Key Laboratory of Bioinformatics, TCM-X Centre/Bioinformatics Division, BNRIST, Tsinghua University, Beijing 10084, China.
  • Li S; School of Pharmaceutical Sciences, MOE Key Laboratory of Bioorganic Phosphorus Chemistry and Chemical Biology, Tsinghua University, 100084 Beijing, China.
Bioinformatics ; 36(11): 3610-3612, 2020 06 01.
Article in En | MEDLINE | ID: mdl-32170933
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Neural Networks, Computer / Quantitative Structure-Activity Relationship Type of study: Prognostic_studies Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2020 Document type: Article Affiliation country: China Country of publication: United kingdom
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Neural Networks, Computer / Quantitative Structure-Activity Relationship Type of study: Prognostic_studies Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2020 Document type: Article Affiliation country: China Country of publication: United kingdom