CREST—A program for the exploration of low-energy molecular chemical space

2024/03/21 by Philipp Pracht, Stefan Grimme, Christoph Bannwarth +11 · 44 citations
Chemical Engineering · Chemistry · Materials Science · #Catalysis and Oxidation Reactions #Machine Learning in Materials Science #Various Chemistry Research Topics

paper · pdf · doi:10.1063/5.0197592

openalex publication_date 2024/03/21 · openalex created_date 2024/03/22 · openalex updated_date 2026/07/31

Abstract

Conformer-rotamer sampling tool (CREST) is an open-source program for the efficient and automated exploration of molecular chemical space. Originally developed in Pracht et al. [Phys. Chem. Chem. Phys. 22, 7169 (2020)] as an automated driver for calculations at the extended tight-binding level (xTB), it offers a variety of molecular- and metadynamics simulations, geometry optimization, and molecular structure analysis capabilities. Implemented algorithms include automated procedures for conformational sampling, explicit solvation studies, the calculation of absolute molecular entropy, and the identification of molecular protonation and deprotonation sites. Calculations are set up to run concurrently, providing efficient single-node parallelization. CREST is designed to require minimal user input and comes with an implementation of the GFNn-xTB Hamiltonians and the GFN-FF force-field. Furthermore, interfaces to any quantum chemistry and force-field software can easily be created. In this article, we present recent developments in the CREST code and show a selection of applications for the most important features of the program. An important novelty is the refactored calculation backend, which provides significant speed-up for sampling of small or medium-sized drug molecules and allows for more sophisticated setups, for example, quantum mechanics/molecular mechanics and minimum energy crossing point calculations.

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