Automatic Learning of Hydrogen-Bond Fixes in the AMBER RNA Force Field-Reference-Cited by-同舟云学术

Automatic Learning of Hydrogen-Bond Fixes in the AMBER RNA Force Field

Published:2022-06-14 Issue:7 Volume:18 Page:4490-4502
ISSN:1549-9618
Container-title:Journal of Chemical Theory and Computation
language:en
Short-container-title:J. Chem. Theory Comput.

Author:

Fröhlking Thorben¹,Mlýnský Vojtěch²^ORCID,Janeček Michal³^ORCID,Kührová Petra⁴^ORCID,Krepl Miroslav²⁴^ORCID,Banáš Pavel⁴^ORCID,Šponer Jiří²⁴^ORCID,Bussi Giovanni¹^ORCID

Affiliation:

1. Scuola Internazionale Superiore di Studi Avanzati, via Bonomea 265, Trieste 34136, Italy

2. Institute of Biophysics of the Czech Academy of Sciences, Kralovopolska 135, Brno 612 65, Czech Republic

3. Department of Physical Chemistry, Faculty of Science, Palacky University, tr. 17 listopadu 12, Olomouc 771 46, Czech Republic

4. Regional Centre of Advanced Technologies and Materials, Czech Advanced Technology and Research Institute (CATRIN), Palacky University Olomouc, Slechtitelu 27, 779 00 Olomouc, Czech Republic

Funder

European Regional Development Fund

Grantová Agentura Ceské Republiky

Publisher

American Chemical Society (ACS)

Subject

Physical and Theoretical Chemistry,Computer Science Applications

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jctc.2c00200

Reference93 articles.

1. COVID-19 vaccines: modes of immune activation and future challenges

2. Non-coding RNAs as drug targets