ExplainableFold: Understanding AlphaFold Prediction with Explainable AI-Reference-Cited by-同舟云学术

ExplainableFold: Understanding AlphaFold Prediction with Explainable AI

Published:2023-08-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Tan Juntao¹^ORCID,Zhang Yongfeng¹^ORCID

Affiliation:

1. Rutgers University, New Brunswick, NJ, USA

Funder

National Science Foundation

National Institute of Health

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599337

Reference67 articles.

1. Gary K Ackers and Francine R Smith . Effects of site-specific amino acid modifica- tion on protein interactions and biological function. Annual review of biochemistry, 54(1):597--629 , 1985 . Gary K Ackers and Francine R Smith. Effects of site-specific amino acid modifica- tion on protein interactions and biological function. Annual review of biochemistry, 54(1):597--629, 1985.

2. Gustaf Ahdritz Nazim Bouatta Sachin Kadyan Qinghui Xia William Gerecke Timothy J O'Donnell Daniel Berenberg Ian Fisk Niccolò Zanichelli Bo Zhang Arkadiusz Nowaczynski Bei Wang Marta M Stepniewska-Dziubinska Shang Zhang Adegoke Ojewole Murat Efe Guney Stella Biderman Andrew M Watkins Stephen Ra Pablo Ribalta Lorenzo Lucas Nivon Brian Weitzner Yih-En Andrew Ban Peter K Sorger Emad Mostaque Zhao Zhang Richard Bonneau and Mohammed AlQuraishi. Openfold: Retraining alphafold2 yields new insights into its learning mechanisms and capacity for generalization. bioRxiv 2022. doi: 10.1101/2022.11.20.517210. 10.1101/2022.11.20.517210

3. Gustaf Ahdritz Nazim Bouatta Sachin Kadyan Qinghui Xia William Gerecke Timothy J O'Donnell Daniel Berenberg Ian Fisk Niccolò Zanichelli Bo Zhang Arkadiusz Nowaczynski Bei Wang Marta M Stepniewska-Dziubinska Shang Zhang Adegoke Ojewole Murat Efe Guney Stella Biderman Andrew M Watkins Stephen Ra Pablo Ribalta Lorenzo Lucas Nivon Brian Weitzner Yih-En Andrew Ban Peter K Sorger Emad Mostaque Zhao Zhang Richard Bonneau and Mohammed AlQuraishi. Openfold: Retraining alphafold2 yields new insights into its learning mechanisms and capacity for generalization. bioRxiv 2022. doi: 10.1101/2022.11.20.517210.

4. Mohammed AlQuraishi . Machine learning in protein structure prediction. Current opinion in chemical biology, 65:1--8 , 2021 . Mohammed AlQuraishi. Machine learning in protein structure prediction. Current opinion in chemical biology, 65:1--8, 2021.

5. Random Single Amino Acid Deletion Sampling Unveils Structural Tolerance and the Benefits of Helical Registry Shift on GFP Folding and Structure

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