One step forward towards deep‐learning protein complex structure prediction by precise multiple sequence alignment construction-Reference-Cited by-同舟云学术

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One step forward towards deep‐learning protein complex structure prediction by precise multiple sequence alignment construction

Published:2024-06 Issue:6 Volume:14 Page:
ISSN:2001-1326
Container-title:Clinical and Translational Medicine
language:en
Short-container-title:Clinical & Translational Med

Author:

Zheng Wei¹,Wuyun Qiqige²,Zhang Yang³⁴⁵^ORCID

Affiliation:

1. Department of Computational Medicine and Bioinformatics University of Michigan Ann Arbor Michigan USA

2. Department of Computer Science and Engineering Michigan State University East Lansing Michigan USA

3. Cancer Science Institute of Singapore National University of Singapore Singapore Singapore

4. Department of Computer Science, School of Computing National University of Singapore Singapore Singapore

5. Department of Biochemistry, Yong Loo Lin School of Medicine National University of Singapore Singapore Singapore

Funder

National Institute of General Medical Sciences

National Institute of Allergy and Infectious Diseases

National Science Foundation

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ctm2.1689

Reference10 articles.

1. Reaching for high-hanging fruit in drug discovery at protein–protein interfaces

2. Highly accurate protein structure prediction with AlphaFold

3. Protein complex prediction with AlphaFold‐Multimer;Evans R;Biorxiv,2021

4. Folding non-homologous proteins by coupling deep-learning contact maps with I-TASSER assembly simulations

5. Integrating deep learning, threading alignments, and a multi‐MSA strategy for high‐quality protein monomer and complex structure prediction in CASP15

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