Doubly Polarized QM/MM with Machine Learning Chaperone Polarizability-Reference-Cited by-同舟云学术

Doubly Polarized QM/MM with Machine Learning Chaperone Polarizability

Published:2021-11-01 Issue:12 Volume:17 Page:7682-7695
ISSN:1549-9618
Container-title:Journal of Chemical Theory and Computation
language:en
Short-container-title:J. Chem. Theory Comput.

Author:

Kim Bryant¹,Shao Yihan²^ORCID,Pu Jingzhi¹^ORCID

Affiliation:

1. Department of Chemistry and Chemical Biology, Indiana University−Purdue University Indianapolis, 402 N. Blackford Street, Indianapolis, Indiana 46202, United States

2. Department of Chemistry and Biochemistry, University of Oklahoma, 101 Stephenson Parkway, Norman, Oklahoma 73019, United States

Funder

Purdue Research Foundation

Indiana University-Purdue University Indianapolis

National Institute of General Medical Sciences

Publisher

American Chemical Society (ACS)

Subject

Physical and Theoretical Chemistry,Computer Science Applications

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jctc.1c00567

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5. QM/MM Methods for Biomolecular Systems

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