Decision making in structure-based drug discovery: visual inspection of docking results

A Fischer, M Smiesko, M Sellner… - Journal of Medicinal …, 2021 - ACS Publications
Molecular docking is a computational method widely used in drug discovery. Due to the
inherent inaccuracies of molecular docking, visual inspection of binding modes is a crucial …

[HTML][HTML] Protein–ligand docking in the machine-learning era

C Yang, EA Chen, Y Zhang - Molecules, 2022 - mdpi.com
Molecular docking plays a significant role in early-stage drug discovery, from structure-
based virtual screening (VS) to hit-to-lead optimization, and its capability and predictive …

Comparative assessment of scoring functions: the CASF-2016 update

M Su, Q Yang, Y Du, G Feng, Z Liu, Y Li… - Journal of chemical …, 2018 - ACS Publications
In structure-based drug design, scoring functions are often employed to evaluate protein–
ligand interactions. A variety of scoring functions have been developed so far, and thus …

Protein–ligand scoring with convolutional neural networks

M Ragoza, J Hochuli, E Idrobo, J Sunseri… - Journal of chemical …, 2017 - ACS Publications
Computational approaches to drug discovery can reduce the time and cost associated with
experimental assays and enable the screening of novel chemotypes. Structure-based drug …

[HTML][HTML] Comprehensive evaluation of ten docking programs on a diverse set of protein–ligand complexes: the prediction accuracy of sampling power and scoring …

Z Wang, H Sun, X Yao, D Li, L Xu, Y Li… - Physical Chemistry …, 2016 - pubs.rsc.org
As one of the most popular computational approaches in modern structure-based drug
design, molecular docking can be used not only to identify the correct conformation of a …

DOCK 6: Impact of new features and current docking performance

WJ Allen, TE Balius, S Mukherjee… - Journal of …, 2015 - Wiley Online Library
This manuscript presents the latest algorithmic and methodological developments to the
structure‐based design program DOCK 6.7 focused on an updated internal energy function …

[HTML][HTML] Empirical scoring functions for structure-based virtual screening: applications, critical aspects, and challenges

IA Guedes, FSS Pereira, LE Dardenne - Frontiers in pharmacology, 2018 - frontiersin.org
Structure-based virtual screening (VS) is a widely used approach that employs the
knowledge of the three-dimensional structure of the target of interest in the design of new …

Three-dimensional convolutional neural networks and a cross-docked data set for structure-based drug design

PG Francoeur, T Masuda, J Sunseri, A Jia… - Journal of chemical …, 2020 - ACS Publications
One of the main challenges in drug discovery is predicting protein–ligand binding affinity.
Recently, machine learning approaches have made substantial progress on this task …

[HTML][HTML] Receptor–ligand molecular docking

IA Guedes, CS de Magalhães, LE Dardenne - Biophysical reviews, 2014 - Springer
Docking methodology aims to predict the experimental binding modes and affinities of small
molecules within the binding site of particular receptor targets and is currently used as a …

Comparative assessment of scoring functions on an updated benchmark: 2. Evaluation methods and general results

Y Li, L Han, Z Liu, R Wang - Journal of chemical information and …, 2014 - ACS Publications
Our comparative assessment of scoring functions (CASF) benchmark is created to provide
an objective evaluation of current scoring functions. The key idea of CASF is to compare the …