Conformator: a novel method for the generation of conformer ensembles

NO Friedrich, F Flachsenberg, A Meyder… - Journal of chemical …, 2019 - ACS Publications
Computer-aided drug design methods such as docking, pharmacophore searching, 3D
database searching, and the creation of 3D-QSAR models need conformational ensembles …

[HTML][HTML] Benchmark assessment of molecular geometries and energies from small molecule force fields

VT Lim, DF Hahn, G Tresadern, CI Bayly… - …, 2020 - ncbi.nlm.nih.gov
Background: Force fields are used in a wide variety of contexts for classical molecular
simulation, including studies on protein-ligand binding, membrane permeation, and …

Development and comprehensive benchmark of a high-quality amber-consistent small molecule force field with broad chemical space coverage for molecular …

B Xue, Q Yang, Q Zhang, X Wan, D Fang… - Journal of Chemical …, 2023 - ACS Publications
Biomolecular simulations have become an essential tool in contemporary drug discovery,
and molecular mechanics force fields (FFs) constitute its cornerstone. Developing a high …

[HTML][HTML] Bayesian optimization for conformer generation

L Chan, GR Hutchison, GM Morris - Journal of cheminformatics, 2019 - Springer
Generating low-energy molecular conformers is a key task for many areas of computational
chemistry, molecular modeling and cheminformatics. Most current conformer generation …

Collaborative assessment of molecular geometries and energies from the Open Force Field

L D'Amore, DF Hahn, DL Dotson… - Journal of chemical …, 2022 - ACS Publications
Force fields form the basis for classical molecular simulations, and their accuracy is crucial
for the quality of, for instance, protein–ligand binding simulations in drug discovery. The …

[HTML][HTML] Efficient conformational ensemble generation of protein-bound peptides

Y Yan, DI Zhang, SY Huang - Journal of cheminformatics, 2017 - Springer
Conformation generation of protein-bound peptides is critical for the determination of protein–
peptide complex structures. Despite significant progress in conformer generation of small …

Torsionnet: A reinforcement learning approach to sequential conformer search

T Gogineni, Z Xu, E Punzalan, R Jiang… - Advances in …, 2020 - proceedings.neurips.cc
Molecular geometry prediction of flexible molecules, or conformer search, is a long-standing
challenge in computational chemistry. This task is of great importance for predicting structure …

Understanding ring puckering in small molecules and cyclic peptides

L Chan, GR Hutchison, GM Morris - Journal of Chemical …, 2021 - ACS Publications
The geometry of a molecule plays a significant role in determining its physical and chemical
properties. Despite its importance, there are relatively few studies on ring puckering and …

Docking and virtual screening strategies for GPCR drug discovery

T Beuming, B Lenselink, D Pala, F McRobb… - G protein-coupled …, 2015 - Springer
Progress in structure determination of G protein-coupled receptors (GPCRs) has made it
possible to apply structure-based drug design (SBDD) methods to this pharmaceutically …

[HTML][HTML] MacroConf–dataset & workflows to assess cyclic peptide solution structures

D Crusius, JR Schnell, F Cipcigan, PC Biggin - Digital Discovery, 2023 - pubs.rsc.org
Knowing solution structures of cyclic peptides is essential for predicting pharmacokinetic
properties for drug discovery. Here, we report the MacroConf dataset along with …