Predicting solvent accessibility: Higher accuracy using Bayesian statistics and optimized residue substitution classes-Reference-Cited by-同舟云学术

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Predicting solvent accessibility: Higher accuracy using Bayesian statistics and optimized residue substitution classes

Published:1996-05 Issue:1 Volume:25 Page:38-47
ISSN:0887-3585
Container-title:Proteins: Structure, Function, and Genetics
language:
Short-container-title:Proteins

Author:

Thompson Michael J.,Goldstein Richard A.

Publisher

Wiley

Subject

Molecular Biology,Biochemistry,Structural Biology

Cited by 78 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. IGPRED-MultiTask: A Deep Learning Model to Predict Protein Secondary Structure, Torsion Angles and Solvent Accessibility;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2023-03-01

2. Neuroinvasiveness of the MR766 strain of Zika virus in IFNAR-/- mice maps to prM residues conserved amongst African genotype viruses;PLOS Pathogens;2021-07-26

3. Solvent Accessibility of Residues Undergoing Pathogenic Variations in Humans: From Protein Structures to Protein Sequences;Frontiers in Molecular Biosciences;2021-01-07

4. PaleAle 5.0: prediction of protein relative solvent accessibility by deep learning;Amino Acids;2019-08-06

5. Protein Solvent-Accessibility Prediction by a Stacked Deep Bidirectional Recurrent Neural Network;Biomolecules;2018-05-25

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