A simple neural network implementation of generalized solvation free energy for assessment of protein structural models-Reference-Cited by-同舟云学术

A simple neural network implementation of generalized solvation free energy for assessment of protein structural models

Published:2019 Issue:62 Volume:9 Page:36227-36233
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Long Shiyang¹²³⁴,Tian Pu⁵²³⁶^ORCID

Affiliation:

1. School of Chemistry

2. Jilin University

3. Changchun

4. China

5. School of Life Science and School of Artificial Intelligence

6. China 130012

Abstract

A residue based implementation of GSFE where each residue is solvated by its specific local solvent (i.e. neighboring residues as shown in the figure, explicit or implicit water and/or ion may also be included).

Funder

National Natural Science Foundation of China

National Basic Research Program of China

Fundamental Research Funds for the Central Universities

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2019/RA/C9RA05168F

Reference37 articles.

1. Principles that Govern the Folding of Protein Chains

2. In quest of an empirical potential for protein structure prediction

3. Random Forest Refinement of the KECSA2 Knowledge-Based Scoring Function for Protein Decoy Detection

4. Optimized distance-dependent atom-pair-based potential DOOP for protein structure prediction

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