RPnet: a reverse-projection-based neural network for coarse-graining metastable conformational states for protein dynamics | Zendy

Hanlin Gu | Zendy; Wei Wang | Zendy; Siqin Cao | Zendy; Ilona Christy Unarta | Zendy; Yuan Yao | Zendy; Fu Kit Sheong | Zendy; Xuhui Huang | Zendy

Open Access

RPnet: a reverse-projection-based neural network for coarse-graining metastable conformational states for protein dynamics

Author(s) -

Hanlin Gu,

Wei Wang,

Siqin Cao,

Ilona Christy Unarta,

Yuan Yao,

Fu Kit Sheong,

Xuhui Huang

Publication year - 2021

Publication title -

physical chemistry chemical physics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.053

H-Index - 239

eISSN - 1463-9084

pISSN - 1463-9076

DOI - 10.1039/d1cp03622j

Subject(s) - statistical physics , projection (relational algebra) , granularity , computer science , markov chain , ministate , markov process , artificial neural network , function (biology) , kinetic energy , metastability , physics , biological system , algorithm , mathematics , artificial intelligence , classical mechanics , machine learning , psychology , statistics , electroencephalography , quantum mechanics , psychiatry , evolutionary biology , biology , operating system

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