Literature DB >> 23480542

High-throughput and in silico screenings in drug discovery.

Sharangdhar S Phatak1, Clifford C Stephan, Claudio N Cavasotto.   

Abstract

BACKGROUND: In the current situation of weak drug pipelines, impending patent expiration of several blockbuster drugs, industry consolidation and changing business models that target special diseases like cancer, diabetes, Alzheimer's and obesity, the pharmaceutical industry is under intense pressure to generate a strong drug pipeline distinguished by better productivity, diversity and cost effectiveness. The goal is discovering high-quality leads in the initial stages of the development cycle, to minimize the costs associated with failures at later ones.
OBJECTIVE: Thus, there is a great amount of interest in further developing and optimizing high-throughput screening and in silico screening, the two methods responsible for generating most of the lead compounds. Although high-throughput screening is the predominant starting point for discovery programs, in silico methods have gradually made inroads by their more rational approach, to expedite the drug discovery and development process.
CONCLUSION: Modern drug discovery strategies include both methods in tandem or in an iterative way. This review primarily provides a succinct overview and comparison of experimental and in silico screening techniques, selected case studies where both methods were used in concert to investigate their performance and complementary nature and a statement on the developments in experimental and in silico approaches in the near future.

Entities:  

Year:  2009        PMID: 23480542     DOI: 10.1517/17460440903190961

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


  15 in total

1.  Identification of the key functional genes in salt-stress tolerance of Cyanobacterium Phormidium tenue using in silico analysis.

Authors:  Mehrdad Shahbazi; Masoud Tohidfar; Maryam Azimzadeh Irani
Journal:  3 Biotech       Date:  2021-11-18       Impact factor: 2.406

2.  In silico insights into prediction and analysis of potential novel pyrrolopyridine analogs against human MAPKAPK-2: a new SAR-based hierarchical clustering approach.

Authors:  Kranthi Kumar Konidala; Uma Devi Bommu; Suneetha Yeguvapalli; Neeraja Pabbaraju
Journal:  3 Biotech       Date:  2018-08-23       Impact factor: 2.406

3.  Inhibition of Eimeria tenella CDK-related kinase 2: From target identification to lead compounds.

Authors:  Kristin Engels; Carsten Beyer; Maria L Suárez Fernández; Frank Bender; Michael Gassel; Gottfried Unden; Richard J Marhöfer; Jeremy C Mottram; Paul M Selzer
Journal:  ChemMedChem       Date:  2010-08-02       Impact factor: 3.466

4.  Activity in vivo of anti-Trypanosoma cruzi compounds selected from a high throughput screening.

Authors:  Grasiella Andriani; Anne-Danielle C Chessler; Gilles Courtemanche; Barbara A Burleigh; Ana Rodriguez
Journal:  PLoS Negl Trop Dis       Date:  2011-08-30

Review 5.  Drug-Like Protein-Protein Interaction Modulators: Challenges and Opportunities for Drug Discovery and Chemical Biology.

Authors:  Bruno O Villoutreix; Melaine A Kuenemann; Jean-Luc Poyet; Heriberto Bruzzoni-Giovanelli; Céline Labbé; David Lagorce; Olivier Sperandio; Maria A Miteva
Journal:  Mol Inform       Date:  2014-06-02       Impact factor: 3.353

Review 6.  Data-driven approaches used for compound library design, hit triage and bioactivity modeling in high-throughput screening.

Authors:  Shardul Paricharak; Oscar Méndez-Lucio; Aakash Chavan Ravindranath; Andreas Bender; Adriaan P IJzerman; Gerard J P van Westen
Journal:  Brief Bioinform       Date:  2018-03-01       Impact factor: 11.622

7.  Exponential consensus ranking improves the outcome in docking and receptor ensemble docking.

Authors:  Karen Palacio-Rodríguez; Isaias Lans; Claudio N Cavasotto; Pilar Cossio
Journal:  Sci Rep       Date:  2019-03-26       Impact factor: 4.379

Review 8.  A Structure-Based Drug Discovery Paradigm.

Authors:  Maria Batool; Bilal Ahmad; Sangdun Choi
Journal:  Int J Mol Sci       Date:  2019-06-06       Impact factor: 5.923

9.  A High-throughput Approach to Identify Effective Systemic Agents for the Treatment of Anaplastic Thyroid Carcinoma.

Authors:  Ying C Henderson; Abdallah S R Mohamed; Anastasios Maniakas; Yunyun Chen; Reid T Powell; Shaohua Peng; Maria Cardenas; Michelle D Williams; Diana Bell; Mark E Zafereo; Rui Jennifer Wang; Steve E Scherer; David A Wheeler; Maria E Cabanillas; Marie-Claude Hofmann; Faye M Johnson; Clifford C Stephan; Vlad Sandulache; Stephen Y Lai
Journal:  J Clin Endocrinol Metab       Date:  2021-09-27       Impact factor: 6.134

Review 10.  Quantum Chemical Approaches in Structure-Based Virtual Screening and Lead Optimization.

Authors:  Claudio N Cavasotto; Natalia S Adler; Maria G Aucar
Journal:  Front Chem       Date:  2018-05-29       Impact factor: 5.221

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