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ScanNet: an interpretable geometric deep learning model for structure-based protein binding site prediction.
Tubiana, Jérôme; Schneidman-Duhovny, Dina; Wolfson, Haim J.
Affiliation
  • Tubiana J; Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel. jertubiana@gmail.com.
  • Schneidman-Duhovny D; School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel. dina.schneidman@mail.huji.ac.il.
  • Wolfson HJ; Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel. wolfson@tau.ac.il.
Nat Methods ; 19(6): 730-739, 2022 06.
Article in En | MEDLINE | ID: mdl-35637310
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning / COVID-19 Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Nat Methods Journal subject: TECNICAS E PROCEDIMENTOS DE LABORATORIO Year: 2022 Document type: Article Affiliation country: Israel Country of publication: United States
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning / COVID-19 Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Nat Methods Journal subject: TECNICAS E PROCEDIMENTOS DE LABORATORIO Year: 2022 Document type: Article Affiliation country: Israel Country of publication: United States