Literature DB >> 27075580

Virtual Screening Techniques and Current Computational Infrastructures.

Jason H Haga1, Kohei Ichikawa, Susumu Date.   

Abstract

The drug discovery process in general is a very resource intensive undertaking that has existed for a very long time. In the last two decades, performing molecular simulations that determine the level of interaction between a protein and ligand have been refined to the point where they are now an essential part of the drug discovery process. These simulations serve to reduce the time to discovery and improve the positive "hit" rates when screening for molecule with biological activity. As a result, the chemical search space is greatly reduced in silico, prior to any in vitro experiments that validate the results. Recently, there have been many advances in computer science technologies that have improved the virtual screening process. This paper will give a brief overview of the virtual screening process and then summarize the current state-of-the-art technologies applied to virtual screenings. Both biomedical researchers and computer scientists can use this review as a guide to the implementation requirements for computational resources of virtual screening.

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Year:  2016        PMID: 27075580     DOI: 10.2174/1381612822666160414142530

Source DB:  PubMed          Journal:  Curr Pharm Des        ISSN: 1381-6128            Impact factor:   3.116


  8 in total

1.  Octopus: a platform for the virtual high-throughput screening of a pool of compounds against a set of molecular targets.

Authors:  Eduardo Habib Bechelane Maia; Vinícius Alves Campos; Bianca Dos Reis Santos; Marina Santos Costa; Iann Gabriel Lima; Sandro J Greco; Rosy I M A Ribeiro; Felipe M Munayer; Alisson Marques da Silva; Alex Gutterres Taranto
Journal:  J Mol Model       Date:  2017-01-07       Impact factor: 1.810

2.  DINC 2.0: A New Protein-Peptide Docking Webserver Using an Incremental Approach.

Authors:  Dinler A Antunes; Mark Moll; Didier Devaurs; Kyle R Jackson; Gregory Lizée; Lydia E Kavraki
Journal:  Cancer Res       Date:  2017-11-01       Impact factor: 12.701

3.  A novel ligand of the translationally controlled tumor protein (TCTP) identified by virtual drug screening for cancer differentiation therapy.

Authors:  Nicolas Fischer; Ean-Jeong Seo; Sara Abdelfatah; Edmond Fleischer; Anette Klinger; Thomas Efferth
Journal:  Invest New Drugs       Date:  2021-01-25       Impact factor: 3.850

4.  In Silico Screening and In Vitro Activity Measurement of Javamide Analogues as Potential p38 MAPK Inhibitors.

Authors:  Jae B Park
Journal:  Int J Mol Sci       Date:  2017-12-13       Impact factor: 5.923

Review 5.  Screening S protein - ACE2 blockers from natural products: Strategies and advances in the discovery of potential inhibitors of COVID-19.

Authors:  Le-le Ma; Hui-Min Liu; Xue-Mei Liu; Xiao-Yu Yuan; Chao Xu; Fang Wang; Jun-Zhi Lin; Run-Chun Xu; Ding-Kun Zhang
Journal:  Eur J Med Chem       Date:  2021-10-04       Impact factor: 6.514

Review 6.  Virtual Screening Approaches towards the Discovery of Toll-Like Receptor Modulators.

Authors:  Lucía Pérez-Regidor; Malik Zarioh; Laura Ortega; Sonsoles Martín-Santamaría
Journal:  Int J Mol Sci       Date:  2016-09-09       Impact factor: 5.923

Review 7.  Structure-Based Virtual Screening: From Classical to Artificial Intelligence.

Authors:  Eduardo Habib Bechelane Maia; Letícia Cristina Assis; Tiago Alves de Oliveira; Alisson Marques da Silva; Alex Gutterres Taranto
Journal:  Front Chem       Date:  2020-04-28       Impact factor: 5.221

8.  Pharmacophore-Based Virtual Screening Toward the Discovery of Novel Anti-echinococcal Compounds.

Authors:  Congshan Liu; Jianhai Yin; Jiaqing Yao; Zhijian Xu; Yi Tao; Haobing Zhang
Journal:  Front Cell Infect Microbiol       Date:  2020-03-20       Impact factor: 5.293

  8 in total

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