Comparison of structure‐and ligand‐based virtual screening protocols considering hit list complementarity and enrichment factors

DM Krüger, A Evers - ChemMedChem: Chemistry Enabling …, 2010 - Wiley Online Library
Abstract Structure‐and ligand‐based virtual‐screening methods (docking, 2D‐and 3D‐
similarity searching) were analysed for their effectiveness in virtual screening against four …

[HTML][HTML] In Silico Strategies in Tuberculosis Drug Discovery

SJY Macalino, JB Billones, VG Organo, MCO Carrillo - Molecules, 2020 - mdpi.com
Tuberculosis (TB) remains a serious threat to global public health, responsible for an
estimated 1.5 million mortalities in 2018. While there are available therapeutics for this …

FieldScreen: virtual screening using molecular fields. Application to the DUD data set

TJ Cheeseright, MD Mackey, JL Melville… - Journal of chemical …, 2008 - ACS Publications
FieldScreen, a ligand-based Virtual Screening (VS) method, is described. Its use of 3D
molecular fields makes it particularly suitable for scaffold hopping, and we have rigorously …

Selective structure-based virtual screening for full and partial agonists of the β2 adrenergic receptor

C de Graaf, D Rognan - Journal of medicinal chemistry, 2008 - ACS Publications
The recently solved high-resolution X-ray structure of the β2 adrenergic receptor has been
challenged for its ability to discriminate inverse agonists/antagonists from partial/full …

Support vector regression scoring of receptor–ligand complexes for rank-ordering and virtual screening of chemical libraries

L Li, B Wang, SO Meroueh - Journal of chemical information and …, 2011 - ACS Publications
The community structure–activity resource (CSAR) data sets are used to develop and test a
support vector machine-based scoring function in regression mode (SVR). Two scoring …

Comparative analysis of pharmacophore screening tools

MPA Sanders, AJM Barbosa, B Zarzycka… - Journal of chemical …, 2012 - ACS Publications
The pharmacophore concept is of central importance in computer-aided drug design
(CADD) mainly because of its successful application in medicinal chemistry and, in …

Docking ligands into flexible and solvated macromolecules. 3. Impact of input ligand conformation, protein flexibility, and water molecules on the accuracy of docking …

CR Corbeil, N Moitessier - Journal of Chemical Information and …, 2009 - ACS Publications
Several modifications and additions to Fitted1. 5 led to the development of Fitted2. 6. Among
the novel implementations are a matching algorithm-enhanced genetic algorithm and a ring …

Accuracy or novelty: what can we gain from target-specific machine-learning-based scoring functions in virtual screening?

C Shen, G Weng, X Zhang, ELH Leung… - Briefings in …, 2021 - academic.oup.com
Abstract Machine-learning (ML)-based scoring functions (MLSFs) have gradually emerged
as a promising alternative for protein–ligand binding affinity prediction and structure-based …

An integrated machine learning model to spot peptide binding pockets in 3D protein screening

D Trisciuzzi, L Siragusa, M Baroni… - Journal of Chemical …, 2022 - ACS Publications
The prediction of peptide–protein binding sites is of utmost importance to tackle the onset of
severe neurodegenerative diseases and cancer. In this work, we detail a novel machine …

Practices in molecular docking and structure-based virtual screening

RN Dos Santos, LG Ferreira… - … drug discovery and design, 2018 - Springer
Drug discovery has evolved significantly over the past two decades. Progress in key areas
such as molecular and structural biology has contributed to the elucidation of the three …