Blind assessment of monomeric AlphaFold2 protein structure models with experimental NMR data-Reference-Cited by-同舟云学术

Blind assessment of monomeric AlphaFold2 protein structure models with experimental NMR data

Published:2023-07 Issue: Volume:352 Page:107481
ISSN:1090-7807
Container-title:Journal of Magnetic Resonance
language:en
Short-container-title:Journal of Magnetic Resonance

Author:

Li Ethan H.,Spaman Laura E.,Tejero Roberto,Janet Huang Yuanpeng,Ramelot Theresa A.,Fraga Keith J.,Prestegard James H.,Kennedy Michael A.,Montelione Gaetano T.^ORCID

Funder

National Institutes of Health

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Nuclear and High Energy Physics,Biochemistry,Biophysics

Reference67 articles.

1. Critical assessment of methods of protein structure prediction (CASP)-Round XIV;Kryshtafovych;Proteins,2021

2. Highly accurate protein structure prediction with AlphaFold;Jumper;Nature,2021

3. Protein structure predictions to atomic accuracy with AlphaFold;Jumper;Nat. Methods,2022

4. Accurate prediction of protein structures and interactions using a three-track neural network;Baek;Science,2021

5. The impact of AlphaFold2 one year on;Jones;Nat. Methods,2022

Cited by 11 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. Gradations in protein dynamics captured by experimental NMR are not well represented by AlphaFold2 models and other computational metrics;2024-07-19

2. Hidden Structural States of Proteins Revealed by Conformer Selection with AlphaFold-NMR;2024-06-30

3. The power and pitfalls of AlphaFold2 for structure prediction beyond rigid globular proteins;Nature Chemical Biology;2024-06-21

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

5. An integrative approach to understand structural dynamics of protein molecular machines across spatiotemporal scales;SCIENTIA SINICA Chimica;2024-03-01