Literature DB >> 22823018

Pharmacophore-based virtual screening: a review of recent applications.

Kyun-Hwan Kim1, Nam Doo Kim, Baik-Lin Seong.   

Abstract

IMPORTANCE OF THE FIELD: In research relating to the development of new drugs, hit identification and validations are critical for successful optimization of candidates. To achieve rapid identification of new lead compounds, high-throughput screening assays have been employed in many pharmaceutical companies and laboratories. However, their success depends on the assay system relevant to in vivo conditions and they are physically limited by the repertoire of compounds. As an alternative or complementary approach to high-throughput screening assays, virtual screening is an efficient method to identify drug candidates in silico from large chemical compound databases. Its usefulness has been verified by current applications that successfully retrieved hit and lead identifications against various disease targets. However, for better application, the scoring functions for distinguishing possible active and inactive compounds must beimproved. AREAS COVERED IN THIS REVIEW: In this review, we provide an overview of pharmacophore-based virtual screening methods with a special focus on their successful application towards finding hits against various diseasetargets. WHAT THE READER WILL GAIN: Readers will rapidly gain insight into the recent successful applications of pharmacophore-based virtual screening. They will acknowledge that this technique is a powerful and cost-effective alternative to high-throughput assays. TAKE HOME MESSAGE: Although there are many hurdles yet to be resolved, virtual screening techniques will emerge as essential infrastructure and as a prerequisite for developing new lead compounds with therapeuticapplications.

Year:  2010        PMID: 22823018     DOI: 10.1517/17460441003592072

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


  19 in total

1.  In silico investigation of interactions between human cannabinoid receptor-1 and its antagonists.

Authors:  Guanglin Kuang; Guoping Hu; Xianqiang Sun; Weihua Li; Guixia Liu; Yun Tang
Journal:  J Mol Model       Date:  2012-03-09       Impact factor: 1.810

2.  BCL::Mol2D-a robust atom environment descriptor for QSAR modeling and lead optimization.

Authors:  Oanh Vu; Jeffrey Mendenhall; Doaa Altarawy; Jens Meiler
Journal:  J Comput Aided Mol Des       Date:  2019-04-06       Impact factor: 3.686

3.  In Silico Drug Discovery for Treatment of Virus Diseases.

Authors:  Shikha Joon; Rajeev K Singla; Bairong Shen
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 2.622

Review 4.  Recent Advances in Application of Computer-Aided Drug Design in Anti-Influenza A Virus Drug Discovery.

Authors:  Dahai Yu; Linlin Wang; Ye Wang
Journal:  Int J Mol Sci       Date:  2022-04-25       Impact factor: 6.208

5.  Benchmarking methods and data sets for ligand enrichment assessment in virtual screening.

Authors:  Jie Xia; Ermias Lemma Tilahun; Terry-Elinor Reid; Liangren Zhang; Xiang Simon Wang
Journal:  Methods       Date:  2014-12-03       Impact factor: 3.608

Review 6.  Using bacterial genomes and essential genes for the development of new antibiotics.

Authors:  Francisco R Fields; Shaun W Lee; Michael J McConnell
Journal:  Biochem Pharmacol       Date:  2016-12-08       Impact factor: 5.858

7.  Maximal Unbiased Benchmarking Data Sets for Human Chemokine Receptors and Comparative Analysis.

Authors:  Jie Xia; Terry-Elinor Reid; Song Wu; Liangren Zhang; Xiang Simon Wang
Journal:  J Chem Inf Model       Date:  2018-05-08       Impact factor: 4.956

Review 8.  Structure and ligand based drug design strategies in the development of novel 5- LOX inhibitors.

Authors:  Polamarasetty Aparoy; Kakularam Kumar Reddy; Pallu Reddanna
Journal:  Curr Med Chem       Date:  2012       Impact factor: 4.530

9.  Pharmacophore-based discovery of FXR agonists. Part I: Model development and experimental validation.

Authors:  Daniela Schuster; Patrick Markt; Ulrike Grienke; Judit Mihaly-Bison; Markus Binder; Stefan M Noha; Judith M Rollinger; Hermann Stuppner; Valery N Bochkov; Gerhard Wolber
Journal:  Bioorg Med Chem       Date:  2011-10-04       Impact factor: 3.641

10.  Substitution at rt269 in Hepatitis B Virus Polymerase Is a Compensatory Mutation Associated with Multi-Drug Resistance.

Authors:  Sung Hyun Ahn; Doo Hyun Kim; Ah Ram Lee; Beom Kyung Kim; Yong Kwang Park; Eun-Sook Park; Sang Hoon Ahn; Gu-Choul Shin; Soree Park; Hong Seok Kang; Jin-Kyu Rhee; Sung-Il Yang; Youhoon Chong; Kyun-Hwan Kim
Journal:  PLoS One       Date:  2015-08-31       Impact factor: 3.240

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