A1 Refereed original research article in a scientific journal

Efficient Amino Acid Conformer Search with Bayesian Optimization




AuthorsFang L, Makkonen E, Todorovic M, Rinke P, Chen X

PublisherAMER CHEMICAL SOC

Publication year2021

JournalJournal of Chemical Theory and Computation

Journal name in sourceJOURNAL OF CHEMICAL THEORY AND COMPUTATION

Journal acronymJ CHEM THEORY COMPUT

Volume17

Issue3

First page 1955

Last page1966

Number of pages12

ISSN1549-9618

DOIhttps://doi.org/10.1021/acs.jctc.0c00648


Abstract
Finding low-energy molecular conformers is challenging due to the high dimensionality of the search space and the computational cost of accurate quantum chemical methods for determining conformer structures and energies. Here, we combine active-learning Bayesian optimization (BO) algorithms with quantum chemistry methods to address this challenge. Using cysteine as an example, we show that our procedure is both efficient and accurate. After only 1000 single-point calculations and approximately 80 structure relaxations, which is less than 10% computational cost of the current fastest method, we have found the low-energy conformers in good agreement with experimental measurements and reference calculations. To test the transferability of our method, we also repeated the conformer search of serine, tryptophan, and aspartic acid. The results agree well with previous conformer search studies.



Last updated on 2024-26-11 at 13:14