Struct2Graph: a graph attention network for structure based predictions of protein-protein interactions.

Saved in:
Bibliographic Details
Title: Struct2Graph: a graph attention network for structure based predictions of protein-protein interactions.
Authors: Baranwal M; Division of Data and Decision Sciences, Tata Consultancy Services Research, Mumbai, India. baranwal.mayank@tcs.com.; Systems and Control Engineering Group, Indian Institute of Technology, Bombay, India. baranwal.mayank@tcs.com., Magner A; Department of Computer Science, University of Albany, SUNY, Albany, USA., Saldinger J; Department of Chemical Engineering, University of Michigan, Ann Arbor, USA., Turali-Emre ES; Department of Biomedical Engineering, University of Michigan, Ann Arbor, USA., Elvati P; Department of Mechanical Engineering, University of Michigan, Ann Arbor, USA., Kozarekar S; Department of Chemical Engineering, University of Michigan, Ann Arbor, USA., VanEpps JS; Department of Biomedical Engineering, University of Michigan, Ann Arbor, USA.; Department of Emergency Medicine, University of Michigan, Ann Arbor, USA.; Biointerfaces Institute, University of Michigan, Ann Arbor, USA., Kotov NA; Department of Chemical Engineering, University of Michigan, Ann Arbor, USA.; Department of Biomedical Engineering, University of Michigan, Ann Arbor, USA.; Biointerfaces Institute, University of Michigan, Ann Arbor, USA.; Department of Materials Science and Engineering, University of Michigan, Ann Arbor, USA., Violi A; Department of Chemical Engineering, University of Michigan, Ann Arbor, USA.; Department of Mechanical Engineering, University of Michigan, Ann Arbor, USA.; Biophysics Program, University of Michigan, Ann Arbor, USA., Hero AO; Department of Biomedical Engineering, University of Michigan, Ann Arbor, USA.; Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, USA.; Department of Statistics, University of Michigan, Ann Arbor, USA.; Program in Applied Interdisciplinary Mathematics, University of Michigan, Ann Arbor, USA.; Program in Bioinformatics, University of Michigan, Ann Arbor, USA.
Source: BMC bioinformatics [BMC Bioinformatics] 2022 Sep 10; Vol. 23 (1), pp. 370. Date of Electronic Publication: 2022 Sep 10.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105 (Electronic) Linking ISSN: 14712105 NLM ISO Abbreviation: BMC Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:1471-2105
DOI:10.1186/s12859-022-04910-9