Open AccessTopQA: a topological representation for single-model protein quality assessment with machine learning
Author(s) -
Ming Sun,
Dong Si,
Matthew Conover,
Natalie Stephenson,
Jesse Eickholt,
Renzhi Cao,
John Smith
Publication year - 2020
Publication title -
international journal of computational biology and drug design
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.107
H-Index - 13
eISSN - 1756-0764
pISSN - 1756-0756
DOI - 10.1504/ijcbdd.2020.10026784
Subject(s) - representation (politics) , computer science , convolutional neural network , machine learning , quality (philosophy) , artificial intelligence , function (biology) , data mining , protein function prediction , artificial neural network , sequence (biology) , software , topology (electrical circuits) , theoretical computer science , protein function , mathematics , philosophy , biochemistry , chemistry , genetics , epistemology , combinatorics , evolutionary biology , politics , political science , gene , law , biology , programming language