Literature DB >> 30707580

BCL::MolAlign: Three-Dimensional Small Molecule Alignment for Pharmacophore Mapping.

Benjamin P Brown1, Jeffrey Mendenhall2, Jens Meiler2,3.   

Abstract

Small molecule flexible alignment is a critical component of both ligand- and structure-based methods in computer-aided drug discovery. Despite its importance, the availability of high-quality flexible alignment software packages is limited. Here, we present BCL::MolAlign, a freely available property-based molecular alignment program. BCL::MolAlign accommodates ligand flexibility through a combination of pregenerated conformers and on-the-fly bond rotation. BCL::MolAlign converges on alignment poses by sampling the relative orientations of mutually matching atom pairs between molecules through Monte Carlo Metropolis sampling. Across six diverse ligand data sets, BCL::MolAlign flexible alignment outperforms MOE, ROCS, and FLEXS in recovering native ligand binding poses. Moreover, the BCL::MolAlign alignment score is more predictive of ligand activity than maximum common substructure similarity across 10 data sets. Finally, on a recently published benchmark set of 20 high quality congeneric ligand-protein complexes, BCL::MolAlign is able to recover a larger fraction of native binding poses than maximum common substructure-based alignment and RosettaLigand. BCL::MolAlign can be obtained as part of the Biology and Chemistry Library (BCL) software package freely with an academic license or can be accessed via Web server at http://meilerlab.org/index.php/servers/molalign .

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Year:  2019        PMID: 30707580      PMCID: PMC6598199          DOI: 10.1021/acs.jcim.9b00020

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  52 in total

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Journal:  J Mol Graph Model       Date:  2000 Aug-Oct       Impact factor: 2.518

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3.  Torsion angle preference and energetics of small-molecule ligands bound to proteins.

Authors:  Ming-Hong Hao; Omar Haq; Ingo Muegge
Journal:  J Chem Inf Model       Date:  2007-09-19       Impact factor: 4.956

Review 4.  Computational methods in drug discovery.

Authors:  Gregory Sliwoski; Sandeepkumar Kothiwale; Jens Meiler; Edward W Lowe
Journal:  Pharmacol Rev       Date:  2013-12-31       Impact factor: 25.468

5.  Open3DALIGN: an open-source software aimed at unsupervised ligand alignment.

Authors:  Paolo Tosco; Thomas Balle; Fereshteh Shiri
Journal:  J Comput Aided Mol Des       Date:  2011-07-27       Impact factor: 3.686

6.  COSMOsim3D: 3D-similarity and alignment based on COSMO polarization charge densities.

Authors:  Michael Thormann; Andreas Klamt; Karin Wichmann
Journal:  J Chem Inf Model       Date:  2012-07-26       Impact factor: 4.956

7.  LiGen: a high performance workflow for chemistry driven de novo design.

Authors:  Andrea R Beccari; Carlo Cavazzoni; Claudia Beato; Gabriele Costantino
Journal:  J Chem Inf Model       Date:  2013-05-28       Impact factor: 4.956

8.  Both protein dynamics and ligand concentration can shift the binding mechanism between conformational selection and induced fit.

Authors:  Nicholas Greives; Huan-Xiang Zhou
Journal:  Proc Natl Acad Sci U S A       Date:  2014-06-30       Impact factor: 11.205

9.  Protein conformational dynamics dictate the binding affinity for a ligand.

Authors:  Moon-Hyeong Seo; Jeongbin Park; Eunkyung Kim; Sungchul Hohng; Hak-Sung Kim
Journal:  Nat Commun       Date:  2014-04-24       Impact factor: 14.919

10.  pharmACOphore: multiple flexible ligand alignment based on ant colony optimization.

Authors:  Oliver Korb; Peter Monecke; Gerhard Hessler; Thomas Stützle; Thomas E Exner
Journal:  J Chem Inf Model       Date:  2010-09-27       Impact factor: 4.956

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  6 in total

1.  Introduction to the BioChemical Library (BCL): An Application-Based Open-Source Toolkit for Integrated Cheminformatics and Machine Learning in Computer-Aided Drug Discovery.

Authors:  Benjamin P Brown; Oanh Vu; Alexander R Geanes; Sandeepkumar Kothiwale; Mariusz Butkiewicz; Edward W Lowe; Ralf Mueller; Richard Pape; Jeffrey Mendenhall; Jens Meiler
Journal:  Front Pharmacol       Date:  2022-02-21       Impact factor: 5.810

2.  BCL::Conf: Improved Open-Source Knowledge-Based Conformation Sampling Using the Crystallography Open Database.

Authors:  Jeffrey Mendenhall; Benjamin P Brown; Sandeepkumar Kothiwale; Jens Meiler
Journal:  J Chem Inf Model       Date:  2020-12-22       Impact factor: 4.956

3.  Lipocalin Blc is a potential heme-binding protein.

Authors:  Nina G Bozhanova; M Wade Calcutt; William N Beavers; Benjamin P Brown; Eric P Skaar; Jens Meiler
Journal:  FEBS Lett       Date:  2020-12-03       Impact factor: 4.124

4.  General Purpose Structure-Based Drug Discovery Neural Network Score Functions with Human-Interpretable Pharmacophore Maps.

Authors:  Benjamin P Brown; Jeffrey Mendenhall; Alexander R Geanes; Jens Meiler
Journal:  J Chem Inf Model       Date:  2021-01-26       Impact factor: 4.956

5.  In-silico screening for identification of potential inhibitors against SARS-CoV-2 transmembrane serine protease 2 (TMPRSS2).

Authors:  Sagar Barge; Dhananjay Jade; Gokul Gosavi; Narayan Chandra Talukdar; Jagat Borah
Journal:  Eur J Pharm Sci       Date:  2021-03-26       Impact factor: 4.384

6.  ELIXIR-A: An Interactive Visualization Tool for Multi-Target Pharmacophore Refinement.

Authors:  Haoqi Wang; Nirmitee Mulgaonkar; Lisa M Pérez; Sandun Fernando
Journal:  ACS Omega       Date:  2022-04-05
  6 in total

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