» Articles » PMID: 16859316

Comparative Performance Assessment of the Conformational Model Generators Omega and Catalyst: a Large-scale Survey on the Retrieval of Protein-bound Ligand Conformations

Overview
Date 2006 Jul 25
PMID 16859316
Citations 42
Authors
Affiliations
Soon will be listed here.
Abstract

In continuation of our studies to evaluate the ability of various conformer generators to produce bioactive conformations, we present the extension of our work on the analysis of Catalyst's conformational subsampling algorithm in a comparative evaluation with OpenEye's currently updated tool Omega 2.0. Our study is based on an enhanced test set of 778 drug molecules and pharmacologically relevant compounds extracted from the Protein Data Bank (PDB). We elaborated protocols for two common conformer generation use cases and applied them to both programs: (i) high-throughput settings for processing large databases and (ii) high-quality settings for binding site exploration or lead structure refinement. While Catalyst is faster in the first case, Omega 2.0 better reproduces the bound ligand conformations from the PDB in less time for the latter case.

Citing Articles

Targeting the Human Influenza a Virus: The Methods, Limitations, and Pitfalls of Virtual Screening for Drug-like Candidates Including Scaffold Hopping and Compound Profiling.

Scior T, Cuanalo-Contreras K, Islas A, Martinez-Laguna Y Viruses. 2023; 15(5).

PMID: 37243142 PMC: 10221779. DOI: 10.3390/v15051056.


Ligand- and Structure-based Approaches for Transmembrane Transporter Modeling.

Grandits M, Ecker G Curr Drug Res Rev. 2023; 16(2):81-93.

PMID: 37157206 PMC: 11340286. DOI: 10.2174/2589977515666230508123041.


'': High-Resolution Crystal Structures of Ligand-Protein Complexes Need Not Always Represent Confident Binding Poses.

Chakraborti S, Hatti K, Srinivasan N Int J Mol Sci. 2021; 22(13).

PMID: 34202053 PMC: 8268033. DOI: 10.3390/ijms22136830.


A New Pharmacophore Model for the Design of Sigma-1 Ligands Validated on a Large Experimental Dataset.

Pascual R, Almansa C, Plata-Salaman C, Vela J Front Pharmacol. 2019; 10:519.

PMID: 31214020 PMC: 6555132. DOI: 10.3389/fphar.2019.00519.


In search of the representative pharmacophore hypotheses of the enzymatic proteome of Plasmodium falciparum: a multicomplex-based approach.

Manhas A, Lone M, Jha P Mol Divers. 2018; 23(2):453-470.

PMID: 30315397 DOI: 10.1007/s11030-018-9885-5.