[HTML][HTML] Deep generative models for 3D molecular structure
Deep generative models have gained recent popularity for chemical design. Many of these
models have historically operated in 2D space; however, more recently explicit 3D …
models have historically operated in 2D space; however, more recently explicit 3D …
Better informed distance geometry: using what we know to improve conformation generation
S Riniker, GA Landrum - Journal of chemical information and …, 2015 - ACS Publications
Small organic molecules are often flexible, ie, they can adopt a variety of low-energy
conformations in solution that exist in equilibrium with each other. Two main search …
conformations in solution that exist in equilibrium with each other. Two main search …
Development and benchmarking of open force field 2.0. 0: the Sage small molecule force field
We introduce the Open Force Field (OpenFF) 2.0. 0 small molecule force field for drug-like
molecules, code-named Sage, which builds upon our previous iteration, Parsley. OpenFF …
molecules, code-named Sage, which builds upon our previous iteration, Parsley. OpenFF …
Improving conformer generation for small rings and macrocycles based on distance geometry and experimental torsional-angle preferences
S Wang, J Witek, GA Landrum… - Journal of chemical …, 2020 - ACS Publications
The conformer generator ETKDG is a stochastic search method that utilizes distance
geometry together with knowledge derived from experimental crystal structures. It has been …
geometry together with knowledge derived from experimental crystal structures. It has been …
[HTML][HTML] RadonPy: automated physical property calculation using all-atom classical molecular dynamics simulations for polymer informatics
The spread of data-driven materials research has increased the need for systematically
designed materials property databases. However, the development of polymer databases …
designed materials property databases. However, the development of polymer databases …
A simple representation of three-dimensional molecular structure
Statistical and machine learning approaches predict drug-to-target relationships from 2D
small-molecule topology patterns. One might expect 3D information to improve these …
small-molecule topology patterns. One might expect 3D information to improve these …
Mechanistically guided workflow for relating complex reactive site topologies to catalyst performance in C–H functionalization reactions
Leveraging congested catalyst scaffolds has emerged as a key strategy for altering innate
substrate site-selectivity profiles in C–H functionalization reactions. Similar to enzyme active …
substrate site-selectivity profiles in C–H functionalization reactions. Similar to enzyme active …
Torsion angle preferences in druglike chemical space: a comprehensive guide
C Scharfer, T Schulz-Gasch, HC Ehrlich… - Journal of Medicinal …, 2013 - ACS Publications
Crystal structure databases offer ample opportunities to derive small molecule conformation
preferences, but the derived knowledge is not systematically applied in drug discovery …
preferences, but the derived knowledge is not systematically applied in drug discovery …
[HTML][HTML] Benchmark assessment of molecular geometries and energies from small molecule force fields
Background: Force fields are used in a wide variety of contexts for classical molecular
simulation, including studies on protein-ligand binding, membrane permeation, and …
simulation, including studies on protein-ligand binding, membrane permeation, and …
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 …
database searching, and the creation of 3D-QSAR models need conformational ensembles …