Comprehensive survey of consensus docking for high-throughput virtual screening

C Blanes-Mira, P Fernández-Aguado… - Molecules, 2022 - mdpi.com
The rapid advances of 3D techniques for the structural determination of proteins and the
development of numerous computational methods and strategies have led to identifying …

Are protein–ligand docking programs good enough to predict experimental poses of noncovalent ligands bound to the SARS-CoV-2 main protease?

A Llop-Peiró, G Macip, S Garcia-Vallvé, G Pujadas - Drug Discovery Today, 2024 - Elsevier
Hundreds of virtual screening (VS) studies have targeted the severe acute respiratory
syndrome-coronavirus 2 (SARS-CoV-2) main protease (M-pro) to identify small molecules …

Large-scale docking in the cloud

BI Tingle, JJ Irwin - Journal of Chemical Information and Modeling, 2023 - ACS Publications
Molecular docking is a pragmatic approach to exploit protein structures for new ligand
discovery, but the growing size of available chemical space is increasingly challenging to …

DockingPie: a consensus docking plugin for PyMOL

S Rosignoli, A Paiardini - Bioinformatics, 2022 - academic.oup.com
Motivation The primary strategy for predicting the binding mode of small molecules to their
receptors and for performing receptor-based virtual screening studies is protein–ligand …

ESSENCE-Dock: A Consensus-Based Approach to Enhance Virtual Screening Enrichment in Drug Discovery

J Nelen, M Carmena-Bargueño… - Journal of Chemical …, 2024 - ACS Publications
Drug development is a complex, costly, and time-consuming endeavor. While high-
throughput screening (HTS) plays a critical role in the discovery stage, it is one of many …

Drugsniffer: an open source workflow for virtually screening billions of molecules for binding affinity to protein targets

V Venkatraman, TH Colligan, GT Lesica… - Frontiers in …, 2022 - frontiersin.org
The SARS-CoV2 pandemic has highlighted the importance of efficient and effective methods
for identification of therapeutic drugs, and in particular has laid bare the need for methods …

Molecular modelling studies and in vitro enzymatic assays identified A 4-(nitrobenzyl) guanidine derivative as inhibitor of SARS-CoV-2 Mpro

KM de Santiago-Silva, PG Camargo… - Scientific Reports, 2024 - nature.com
Scientists and researchers have been searching for drugs targeting the main protease
(Mpro) of SARS-CoV-2, which is crucial for virus replication. This study employed a virtual …

Consensus holistic virtual screening for drug discovery: a novel machine learning model approach

S Moshawih, ZH Bu, HP Goh, N Kifli, LH Lee… - Journal of …, 2024 - Springer
In drug discovery, virtual screening is crucial for identifying potential hit compounds. This
study aims to present a novel pipeline that employs machine learning models that …

Large Scale Docking in the Cloud

J Irwin, B Tingle - 2023 - chemrxiv.org
Molecular docking is a pragmatic approach to exploit protein structure for new ligand
discovery, but the growing size of available chemical space is increasingly challenging to …

In Search of Novel SGLT2 Inhibitors by High-throughput Virtual Screening

A Debnath, S Sharma, R Mazumder… - Current Drug …, 2024 - ingentaconnect.com
Background: Type 2 diabetes mellitus constitutes approximately 90% of all reported forms of
diabetes mellitus. Insulin resistance characterizes this manifestation of diabetes. The …