Struct2Graph: a graph attention network for structure based predictions of protein–protein interactions
Abstract
Development of new methods for analysis of protein–protein interactions (PPIs) at molecular and nanometer scales gives insights into intracellular signaling pathways and will improve understanding of protein functions, as well as other nanoscale structures of biological and abiological origins. Recent advances in computational tools, particularly the ones involving modern deep learning algorithms, have been shown to complement experimental approaches for describing and rationalizing PPIs. However, most of the existing works on PPI predictions use protein-sequence information, and thus have difficulties in accounting for the three-dimensional organization of the protein chains.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Sep 10, 2022
- Source ID
- 10.1186/s12859-022-04910-9
Entities
People
- Abram Magner
- Alfred O. Hero
- Angela Violi
- Emine S. Turali-emre
- J Scott VanEpps
- Jacob Saldinger
- Mayank Baranwal
- Nicholas A. Kotov
- Paolo Elvati
- Shivani Kozarekar
Organizations
- Army Research Office
- Defense Advanced Research Projects Agency
- Office of Naval Research