Assessing Fairness of AlphaFold2 Prediction of Protein 3D Structures-Reference-Cited by-同舟云学术

Assessing Fairness of AlphaFold2 Prediction of Protein 3D Structures

Published:2023-09-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics
language:
Short-container-title:

Author:

Abbas Usman L¹^ORCID,Chen Jin²^ORCID,Shao Qing¹^ORCID

Affiliation:

1. Chemical & Materials engineering, University of Kentucky, Lexington, KY, United States

2. Institute for Biomedical Informatics, University of Kentucky, Lexington, KY, United States

Funder

NCATS

NCI

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3584371.3612943

Reference34 articles.

1. Anfinsen , C.B. , Principles that govern the folding of protein chains . Science , 1973 . 181. Anfinsen, C.B., Principles that govern the folding of protein chains. Science, 1973. 181.

2. Pearce , R. and Y. Zhang , Deep learning techniques have significantly impacted protein structure prediction and protein design. Curr Opin Struct Biol , 202 1. 68: p. 194 -- 207 . Pearce, R. and Y. Zhang, Deep learning techniques have significantly impacted protein structure prediction and protein design. Curr Opin Struct Biol, 2021. 68: p. 194--207.

3. AI revolutions in biology

4. Pinheiro , F. , J. Santos , and S. Ventura , AlphaFold and the amyloid landscape. J Mol Biol , 202 1. 433(20): p. 167059. Pinheiro, F., J. Santos, and S. Ventura, AlphaFold and the amyloid landscape. J Mol Biol, 2021. 433(20): p. 167059.

5. Fleishman , S.J. and A. Horovitz , Extending the New Generation of Structure Predictors to Account for Dynamics and Allostery. J Mol Biol , 202 1. 433(20): p. 167007. Fleishman, S.J. and A. Horovitz, Extending the New Generation of Structure Predictors to Account for Dynamics and Allostery. J Mol Biol, 2021. 433(20): p. 167007.