Literature DB >> 28451975

Local Alignment of Ligand Binding Sites in Proteins for Polypharmacology and Drug Repositioning.

Michal Brylinski1,2.   

Abstract

The administration of drugs is a key strategy in pharmacotherapy to treat diseases. Drugs are typically developed to modulate the function of specific proteins, which are directly associated with particular disease states. Nonetheless, recent studies suggest that protein-drug interactions are rather promiscuous and the majority of pharmaceuticals exhibit activity against multiple, often unrelated proteins. Certainly, the lack of selectivity often leads to drug side effects; on the other hand, these polypharmacological attributes can be used to develop drugs acting on multiple targets within a unique disease pathway, as well as to identify new targets for existing drugs, which is known as drug repositioning. To support drug development and repurposing, we developed eMatchSite, a new approach to detect those binding sites having the capability to bind similar compounds. eMatchSite is available as a standalone software and a webserver at http://www.brylinski.org/ematchsite .

Entities:  

Keywords:  Binding site alignment; Computer-aided drug discovery; Drug development; Drug repositioning; Polypharmacology; Sequence order-independent alignment; eMatchSite

Mesh:

Substances:

Year:  2017        PMID: 28451975      PMCID: PMC5513668          DOI: 10.1007/978-1-4939-7015-5_9

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  26 in total

1.  Scoring function for automated assessment of protein structure template quality.

Authors:  Yang Zhang; Jeffrey Skolnick
Journal:  Proteins       Date:  2004-12-01

2.  ZINC--a free database of commercially available compounds for virtual screening.

Authors:  John J Irwin; Brian K Shoichet
Journal:  J Chem Inf Model       Date:  2005 Jan-Feb       Impact factor: 4.956

3.  Global mapping of pharmacological space.

Authors:  Gaia V Paolini; Richard H B Shapland; Willem P van Hoorn; Jonathan S Mason; Andrew L Hopkins
Journal:  Nat Biotechnol       Date:  2006-07       Impact factor: 54.908

4.  eFindSite: improved prediction of ligand binding sites in protein models using meta-threading, machine learning and auxiliary ligands.

Authors:  Michal Brylinski; Wei P Feinstein
Journal:  J Comput Aided Mol Des       Date:  2013-07-10       Impact factor: 3.686

5.  Unexpected nanomolar inhibition of carbonic anhydrase by COX-2-selective celecoxib: new pharmacological opportunities due to related binding site recognition.

Authors:  Alexander Weber; Angela Casini; Andreas Heine; Daniel Kuhn; Claudiu T Supuran; Andrea Scozzafava; Gerhard Klebe
Journal:  J Med Chem       Date:  2004-01-29       Impact factor: 7.446

6.  Structural determinants of enzyme binding affinity: the E1 component of pyruvate dehydrogenase from Escherichia coli in complex with the inhibitor thiamin thiazolone diphosphate.

Authors:  Palaniappa Arjunan; Krishnamoorthy Chandrasekhar; Martin Sax; Andrew Brunskill; Natalia Nemeria; Frank Jordan; William Furey
Journal:  Biochemistry       Date:  2004-03-09       Impact factor: 3.162

7.  A versatile conformational switch regulates reactivity in human branched-chain alpha-ketoacid dehydrogenase.

Authors:  Mischa Machius; R Max Wynn; Jacinta L Chuang; Jun Li; Ronald Kluger; Daria Yu; Diana R Tomchick; Chad A Brautigam; David T Chuang
Journal:  Structure       Date:  2006-02       Impact factor: 5.006

8.  eMatchSite: sequence order-independent structure alignments of ligand binding pockets in protein models.

Authors:  Michal Brylinski
Journal:  PLoS Comput Biol       Date:  2014-09-18       Impact factor: 4.475

9.  An overview of the PubChem BioAssay resource.

Authors:  Yanli Wang; Evan Bolton; Svetlana Dracheva; Karen Karapetyan; Benjamin A Shoemaker; Tugba O Suzek; Jiyao Wang; Jewen Xiao; Jian Zhang; Stephen H Bryant
Journal:  Nucleic Acids Res       Date:  2009-11-19       Impact factor: 16.971

10.  PocketMatch: a new algorithm to compare binding sites in protein structures.

Authors:  Kalidas Yeturu; Nagasuma Chandra
Journal:  BMC Bioinformatics       Date:  2008-12-17       Impact factor: 3.169

View more
  8 in total

1.  Binding site matching in rational drug design: algorithms and applications.

Authors:  Misagh Naderi; Jeffrey Mitchell Lemoine; Rajiv Gandhi Govindaraj; Omar Zade Kana; Wei Pan Feinstein; Michal Brylinski
Journal:  Brief Bioinform       Date:  2019-11-27       Impact factor: 11.622

2.  eRepo-ORP: Exploring the Opportunity Space to Combat Orphan Diseases with Existing Drugs.

Authors:  Michal Brylinski; Misagh Naderi; Rajiv Gandhi Govindaraj; Jeffrey Lemoine
Journal:  J Mol Biol       Date:  2017-12-10       Impact factor: 5.469

3.  eModel-BDB: a database of comparative structure models of drug-target interactions from the Binding Database.

Authors:  Misagh Naderi; Rajiv Gandhi Govindaraj; Michal Brylinski
Journal:  Gigascience       Date:  2018-08-01       Impact factor: 6.524

4.  Large-scale computational drug repositioning to find treatments for rare diseases.

Authors:  Rajiv Gandhi Govindaraj; Misagh Naderi; Manali Singha; Jeffrey Lemoine; Michal Brylinski
Journal:  NPJ Syst Biol Appl       Date:  2018-03-13

5.  DeepDrug3D: Classification of ligand-binding pockets in proteins with a convolutional neural network.

Authors:  Limeng Pu; Rajiv Gandhi Govindaraj; Jeffrey Mitchell Lemoine; Hsiao-Chun Wu; Michal Brylinski
Journal:  PLoS Comput Biol       Date:  2019-02-04       Impact factor: 4.475

6.  Structure based pharmacophore modeling, virtual screening, molecular docking and ADMET approaches for identification of natural anti-cancer agents targeting XIAP protein.

Authors:  Firoz A Dain Md Opo; Mohammed M Rahman; Foysal Ahammad; Istiak Ahmed; Mohiuddin Ahmed Bhuiyan; Abdullah M Asiri
Journal:  Sci Rep       Date:  2021-02-18       Impact factor: 4.379

7.  In Silico Screening of Quorum Sensing Inhibitor Candidates Obtained by Chemical Similarity Search.

Authors:  Sharath Belenahalli Shekarappa; Hrvoje Rimac; Julian Lee
Journal:  Molecules       Date:  2022-07-30       Impact factor: 4.927

8.  GraphSite: Ligand Binding Site Classification with Deep Graph Learning.

Authors:  Wentao Shi; Manali Singha; Limeng Pu; Gopal Srivastava; Jagannathan Ramanujam; Michal Brylinski
Journal:  Biomolecules       Date:  2022-07-29
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.