PROST: AlphaFold2-aware Sequence-Based Predictor to Estimate Protein Stability Changes upon Missense Mutations-Reference-Cited by-同舟云学术

PROST: AlphaFold2-aware Sequence-Based Predictor to Estimate Protein Stability Changes upon Missense Mutations

Published:2022-08-16 Issue:17 Volume:62 Page:4270-4282
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Iqbal Shahid¹²³,Ge Fang⁴,Li Fuyi²³^ORCID,Akutsu Tatsuya⁵,Zheng Yuanting⁶,Gasser Robin B.⁶^ORCID,Yu Dong-Jun⁴^ORCID,Webb Geoffrey I.¹³,Song Jiangning¹²³^ORCID

Affiliation:

1. Department of Data Science and AI, Faculty of IT, Monash University, Clayton, Victoria 3800, Australia

2. Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria 3800, Australia

3. Monash Data Futures Institute, Monash University, Clayton, Victoria 3800, Australia

4. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China

5. Bioinformatics Center, Institute for Chemical Research, Kyoto University, Kyoto 611-0011, Japan

6. Department of Veterinary Biosciences, Melbourne Veterinary School, The University of Melbourne, Parkville, Victoria 3010, Australia

Funder

Monash University

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.2c00799

Reference50 articles.

1. Identification of a novel missense mutation in Friedreich's ataxia – FXN W 168R

2. Identification of pathogenic missense mutations using protein stability predictors

3. Assessing the performance of computational predictors for estimating protein stability changes upon missense mutations

4. Prediction of impacts of mutations on protein structure and interactions: SDM, a statistical approach, and mCSM, using machine learning

5. In silico functional dissection of saturation mutagenesis: Interpreting the relationship between phenotypes and changes in protein stability, interactions and activity

Cited by 32 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. AI-Predicted Protein Deformation Encodes Energy Landscape Perturbation;Physical Review Letters;2024-08-26

2. MetalTrans: A Biological Language Model-Based Approach for Predicting Disease-Associated Mutations in Protein Metal-Binding Sites;Journal of Chemical Information and Modeling;2024-08-02

3. AlphaFold2 in biomedical research: facilitating the development of diagnostic strategies for disease;Frontiers in Molecular Biosciences;2024-07-30

4. PhosAF: An integrated deep learning architecture for predicting protein phosphorylation sites with AlphaFold2 predicted structures;Analytical Biochemistry;2024-07

5. Overview of AlphaFold2 and breakthroughs in overcoming its limitations;Computers in Biology and Medicine;2024-06