Deep Dive into Machine Learning Models for Protein Engineering-Reference-Cited by-同舟云学术

Deep Dive into Machine Learning Models for Protein Engineering

Published:2020-04-06 Issue:6 Volume:60 Page:2773-2790
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Xu Yuting¹^ORCID,Verma Deeptak²,Sheridan Robert P.²^ORCID,Liaw Andy¹,Ma Junshui³,Marshall Nicholas M.⁴,McIntosh John⁵,Sherer Edward C.²^ORCID,Svetnik Vladimir¹,Johnston Jennifer M.²^ORCID

Affiliation:

1. Biometrics Research, Merck & Co., Inc., Rahway, New Jersey 07065, United States

2. Computational and Structural Chemistry, Merck & Co., Inc., Kenilworth, New Jersey 07033, United States

3. Early Oncology Statistics, Merck & Co., Inc., Rahway, New Jersey 07065, United States

4. Invenra, Inc., 505 South Rosa Road, Madison, Wisconsin 53719, United States

5. Process Research & Development, Merck & Co., Inc., Rahway, New Jersey 07065, United States

Funder

Protein Engineering Department, Merck Research Laboratories

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

http://pubs.acs.org/doi/pdf/10.1021/acs.jcim.0c00073

Reference77 articles.

1. Directed evolution: Past, present, and future

2. Protein Design by Directed Evolution

3. Computational Protein Design with Deep Learning Neural Networks

4. Yang, K. K.; Wu, Z.; Arnold, F. H. Machine Learning in Protein Engineering. 2018, arXiv preprint arXiv:1811.10775.

5. Machine learning-assisted directed protein evolution with combinatorial libraries

Cited by 158 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. Synthesis of C–N bonds by nicotinamide-dependent oxidoreductase: an overview;Critical Reviews in Biotechnology;2024-09-04

2. A comprehensive review of artificial intelligence for pharmacology research;Frontiers in Genetics;2024-09-03

3. Deep Learning-Based Self-Adaptive Evolution of Enzymes;Pharmaceutical Fronts;2024-09-03

4. Deep learning neural network development for the classification of bacteriocin sequences produced by lactic acid bacteria;F1000Research;2024-08-30

5. Predicting monoclonal antibody binding sequences from a sparse sampling of all possible sequences;Communications Biology;2024-08-12