RoseNet: Predicting Energy Metrics of Double InDel Mutants Using Deep Learning-Reference-Cited by-同舟云学术

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RoseNet: Predicting Energy Metrics of Double InDel Mutants Using Deep Learning

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

Coffland Sarah¹^ORCID,Christensen Katie¹^ORCID,Jagodzinski Filip¹^ORCID,Hutchinson Brian¹²^ORCID

Affiliation:

1. Computer Science Department, Western Washington University, Bellingham, WA, United States

2. Foundational Data Science Group, Pacific Northwest National Laboratory, Richland, WA, USA

Funder

NSF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3584371.3612951

Reference15 articles.

1. The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design

2. Yongwook Choi Gregory E Sims Sean Murphy Jason R Miller and Agnes P Chan. 2012. Predicting the functional effect of amino acid substitutions and indels. (2012). Yongwook Choi Gregory E Sims Sean Murphy Jason R Miller and Agnes P Chan. 2012. Predicting the functional effect of amino acid substitutions and indels. (2012).

3. Macromolecular Modeling with Rosetta

4. John W Drake and Richard H Baltz . 1976. The biochemistry of mutagenesis. Annual review of biochemistry 45, 1 ( 1976 ), 11--37. John W Drake and Richard H Baltz. 1976. The biochemistry of mutagenesis. Annual review of biochemistry 45, 1 (1976), 11--37.

5. Deep Residual Learning for Image Recognition

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