TopQA: a topological representation for single-model protein quality assessment with machine learning | Zendy

Miao Sun | Zendy; Dong Si | Zendy; Matthew Conover | Zendy; Natalie Stephenson | Zendy; Jesse Eickholt | Zendy; Renzhi Cao | Zendy; John Smith | Zendy

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TopQA: a topological representation for single-model protein quality assessment with machine learning

Author(s) -

Miao 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

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