Literature DB >> 27454129

Getting the most out of PubChem for virtual screening.

Sunghwan Kim1.   

Abstract

INTRODUCTION: With the emergence of the 'big data' era, the biomedical research community has great interest in exploiting publicly available chemical information for drug discovery. PubChem is an example of public databases that provide a large amount of chemical information free of charge. AREAS COVERED: This article provides an overview of how PubChem's data, tools, and services can be used for virtual screening and reviews recent publications that discuss important aspects of exploiting PubChem for drug discovery. EXPERT OPINION: PubChem offers comprehensive chemical information useful for drug discovery. It also provides multiple programmatic access routes, which are essential to build automated virtual screening pipelines that exploit PubChem data. In addition, PubChemRDF allows users to download PubChem data and load them into a local computing facility, facilitating data integration between PubChem and other resources. PubChem resources have been used in many studies for developing bioactivity and toxicity prediction models, discovering polypharmacologic (multi-target) ligands, and identifying new macromolecule targets of compounds (for drug-repurposing or off-target side effect prediction). These studies demonstrate the usefulness of PubChem as a key resource for computer-aided drug discovery and related area.

Entities:  

Keywords:  PubChem; biological assay; cheminformatics; computational toxicology; computer-aided drug discovery; data mining; database; polypharmacology; quantitative structure-activity relationship (QSAR); virtual screening

Mesh:

Substances:

Year:  2016        PMID: 27454129      PMCID: PMC5045798          DOI: 10.1080/17460441.2016.1216967

Source DB:  PubMed          Journal:  Expert Opin Drug Discov        ISSN: 1746-0441            Impact factor:   6.098


  99 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  A 'rule of three' for fragment-based lead discovery?

Authors:  Miles Congreve; Robin Carr; Chris Murray; Harren Jhoti
Journal:  Drug Discov Today       Date:  2003-10-01       Impact factor: 7.851

3.  Predicting adverse drug events using pharmacological network models.

Authors:  Aurel Cami; Alana Arnold; Shannon Manzi; Ben Reis
Journal:  Sci Transl Med       Date:  2011-12-21       Impact factor: 17.956

4.  PubChem as a source of polypharmacology.

Authors:  Bin Chen; David Wild; Rajarshi Guha
Journal:  J Chem Inf Model       Date:  2009-09       Impact factor: 4.956

Review 5.  Computational investigations of hERG channel blockers: New insights and current predictive models.

Authors:  Bruno O Villoutreix; Olivier Taboureau
Journal:  Adv Drug Deliv Rev       Date:  2015-03-12       Impact factor: 15.470

6.  Integrated One-Against-One Classifiers as Tools for Virtual Screening of Compound Databases: A Case Study with CNS Inhibitors.

Authors:  Mehdi Jalali-Heravi; Ahmad Mani-Varnosfaderani; Abolfazl Valadkhani
Journal:  Mol Inform       Date:  2013-07-19       Impact factor: 3.353

7.  InChI, the IUPAC International Chemical Identifier.

Authors:  Stephen R Heller; Alan McNaught; Igor Pletnev; Stephen Stein; Dmitrii Tchekhovskoi
Journal:  J Cheminform       Date:  2015-05-30       Impact factor: 5.514

8.  MMDB and VAST+: tracking structural similarities between macromolecular complexes.

Authors:  Thomas Madej; Christopher J Lanczycki; Dachuan Zhang; Paul A Thiessen; Renata C Geer; Aron Marchler-Bauer; Stephen H Bryant
Journal:  Nucleic Acids Res       Date:  2013-12-06       Impact factor: 16.971

9.  Development and experimental test of support vector machines virtual screening method for searching Src inhibitors from large compound libraries.

Authors:  Bucong Han; Xiaohua Ma; Ruiying Zhao; Jingxian Zhang; Xiaona Wei; Xianghui Liu; Xin Liu; Cunlong Zhang; Chunyan Tan; Yuyang Jiang; Yuzong Chen
Journal:  Chem Cent J       Date:  2012-11-23       Impact factor: 4.215

10.  PubChem BioAssay: 2014 update.

Authors:  Yanli Wang; Tugba Suzek; Jian Zhang; Jiyao Wang; Siqian He; Tiejun Cheng; Benjamin A Shoemaker; Asta Gindulyte; Stephen H Bryant
Journal:  Nucleic Acids Res       Date:  2013-11-05       Impact factor: 16.971

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  34 in total

1.  PubChem Periodic Table and Element Pages: Improving Access to Information on Chemical Elements from Authoritative Sources.

Authors:  Sunghwan Kim; Asta Gindulyte; Jian Zhang; Paul A Thiessen; Evan E Bolton
Journal:  Chem Teach Int       Date:  2020-07-13

2.  Database resources of the National Center for Biotechnology Information.

Authors:  Eric W Sayers; Jeff Beck; J Rodney Brister; Evan E Bolton; Kathi Canese; Donald C Comeau; Kathryn Funk; Anne Ketter; Sunghwan Kim; Avi Kimchi; Paul A Kitts; Anatoliy Kuznetsov; Stacy Lathrop; Zhiyong Lu; Kelly McGarvey; Thomas L Madden; Terence D Murphy; Nuala O'Leary; Lon Phan; Valerie A Schneider; Françoise Thibaud-Nissen; Bart W Trawick; Kim D Pruitt; James Ostell
Journal:  Nucleic Acids Res       Date:  2020-01-08       Impact factor: 16.971

Review 3.  Plant Reactome and PubChem: The Plant Pathway and (Bio)Chemical Entity Knowledgebases.

Authors:  Parul Gupta; Sushma Naithani; Justin Preece; Sunghwan Kim; Tiejun Cheng; Peter D'Eustachio; Justin Elser; Evan E Bolton; Pankaj Jaiswal
Journal:  Methods Mol Biol       Date:  2022

Review 4.  Artificial intelligence and machine-learning approaches in structure and ligand-based discovery of drugs affecting central nervous system.

Authors:  Vertika Gautam; Anand Gaurav; Neeraj Masand; Vannajan Sanghiran Lee; Vaishali M Patil
Journal:  Mol Divers       Date:  2022-07-11       Impact factor: 3.364

5.  PubChem Protein, Gene, Pathway, and Taxonomy Data Collections: Bridging Biology and Chemistry through Target-Centric Views of PubChem Data.

Authors:  Sunghwan Kim; Tiejun Cheng; Siqian He; Paul A Thiessen; Qingliang Li; Asta Gindulyte; Evan E Bolton
Journal:  J Mol Biol       Date:  2022-02-25       Impact factor: 6.151

6.  Database resources of the national center for biotechnology information.

Authors:  Eric W Sayers; Evan E Bolton; J Rodney Brister; Kathi Canese; Jessica Chan; Donald C Comeau; Ryan Connor; Kathryn Funk; Chris Kelly; Sunghwan Kim; Tom Madej; Aron Marchler-Bauer; Christopher Lanczycki; Stacy Lathrop; Zhiyong Lu; Francoise Thibaud-Nissen; Terence Murphy; Lon Phan; Yuri Skripchenko; Tony Tse; Jiyao Wang; Rebecca Williams; Barton W Trawick; Kim D Pruitt; Stephen T Sherry
Journal:  Nucleic Acids Res       Date:  2022-01-07       Impact factor: 19.160

7.  Deep learning of pharmacogenomics resources: moving towards precision oncology.

Authors:  Yu-Chiao Chiu; Hung-I Harry Chen; Aparna Gorthi; Milad Mostavi; Siyuan Zheng; Yufei Huang; Yidong Chen
Journal:  Brief Bioinform       Date:  2020-12-01       Impact factor: 11.622

8.  A metabolic modeling approach reveals promising therapeutic targets and antiviral drugs to combat COVID-19.

Authors:  Fernando Santos-Beneit; Vytautas Raškevičius; Vytenis A Skeberdis; Sergio Bordel
Journal:  Sci Rep       Date:  2021-06-07       Impact factor: 4.379

9.  Unraveling the Catha edulis Extract Effects on the Cellular and Molecular Signaling in SKOV3 Cells.

Authors:  Alaa Sayed Abou-Elhamd; Gauthaman Kalamegam; Farid Ahmed; Mourad Assidi; Abdulmajeed Fahad Alrefaei; Peter Natesan Pushparaj; Muhammad Abu-Elmagd
Journal:  Front Pharmacol       Date:  2021-05-10       Impact factor: 5.810

10.  PubChem BioAssay: A Decade's Development toward Open High-Throughput Screening Data Sharing.

Authors:  Yanli Wang; Tiejun Cheng; Stephen H Bryant
Journal:  SLAS Discov       Date:  2017-01-13       Impact factor: 3.341

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