Assessment of protein model structure accuracy estimation in CASP13: Challenges in the era of deep learning

Author:

Won Jonghun1,Baek Minkyung1,Monastyrskyy Bohdan2,Kryshtafovych Andriy2ORCID,Seok Chaok1ORCID

Affiliation:

1. Department of ChemistrySeoul National University Seoul Republic of Korea

2. Genome CenterUniversity of California Davis California

Funder

National Institute of General Medical Sciences

National Research Foundation of Korea

Publisher

Wiley

Subject

Molecular Biology,Biochemistry,Structural Biology

Cited by 52 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. Assessment of the assessment—All about complexes;Proteins: Structure, Function, and Bioinformatics;2023-10-19

2. Challenges in bridging the gap between protein structure prediction and functional interpretation;Proteins: Structure, Function, and Bioinformatics;2023-10-18

3. Quality Prediction and Prioritizing the Modelled Protein Structures using TOPSIS and Regression Methods;2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE);2023-09-24

4. Estimating protein complex model accuracy based on ultrafast shape recognition and deep learning in CASP15;Proteins: Structure, Function, and Bioinformatics;2023-08-08

5. iQDeep: an integrated web server for protein scoring using multiscale deep learning models;Journal of Molecular Biology;2023-07

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