z-logo
open-access-imgOpen Access
Predicting compound-protein interaction using hierarchical graph convolutional networks
Author(s) -
Danh Bui-Thi,
Emmanuel Rivière,
Pieter Meysman,
Kris Laukens
Publication year - 2022
Publication title -
plos one
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0258628
Subject(s) - convolutional neural network , embedding , computer science , encode , graph , drug discovery , artificial intelligence , computational biology , substructure , protein structure prediction , theoretical computer science , protein structure , bioinformatics , chemistry , biology , biochemistry , structural engineering , engineering , gene

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom