Literature DB >> 19128215

In silico and in vitro: identifying new drugs.

Ivani Pauli1, Luís Fernando Saraiva Macedo Timmers, Rafael Andrade Caceres, Milena Botelho Pereira Soares, Walter Filgueira de Azevedo.   

Abstract

Drug development is a high cost and laborious process, requiring a number of tests until a drug is made available in the market. Therefore, the use of methods to screen large number of molecules with less cost is crucial for faster identification of hits and leads. One strategy to identify drug-like molecules is the search for molecules able to interfere with a protein function, since protein interactions control most biological processes. Ideally the use of in silico screenings would make drug development faster and less expensive. Currently, however, the confirmation of biological activity is still needed. Due to the complexity of the task of drug discovery, an integrated and multi-disciplinary approach is ultimately required. Here we discuss examples of drugs developed through a combination of in silico and in vitro strategies. The potential use of these methodologies for the identification of active compounds as well as for early toxicity and bioavailability is also reviewed.

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Year:  2008        PMID: 19128215     DOI: 10.2174/138945008786949397

Source DB:  PubMed          Journal:  Curr Drug Targets        ISSN: 1389-4501            Impact factor:   3.465


  8 in total

1.  Use of allostery to identify inhibitors of calmodulin-induced activation of Bacillus anthracis edema factor.

Authors:  Elodie Laine; Christophe Goncalves; Johanna C Karst; Aurélien Lesnard; Sylvain Rault; Wei-Jen Tang; Thérèse E Malliavin; Daniel Ladant; Arnaud Blondel
Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-07       Impact factor: 11.205

2.  Molecular dynamics studies of a hexameric purine nucleoside phosphorylase.

Authors:  Fernando Berton Zanchi; Rafael Andrade Caceres; Rodrigo Guerino Stabeli; Walter Filgueira de Azevedo
Journal:  J Mol Model       Date:  2009-08-11       Impact factor: 1.810

3.  In Silico Augmentation of the Drug Development Pipeline: Examples from the study of Acute Inflammation.

Authors:  Gary An; John Bartels; Yoram Vodovotz
Journal:  Drug Dev Res       Date:  2011-03-01       Impact factor: 4.360

4.  ATP1A1-mediated Src signaling inhibits coronavirus entry into host cells.

Authors:  Christine Burkard; Monique H Verheije; Bart L Haagmans; Frank J van Kuppeveld; Peter J M Rottier; Berend-Jan Bosch; Cornelis A M de Haan
Journal:  J Virol       Date:  2015-02-04       Impact factor: 5.103

5.  In Silico and In Vitro Evaluations of Fluorophoric Thiazolo-[2,3-b]quinazolinones as Anti-cancer Agents Targeting EGFR-TKD.

Authors:  Showkat Ahmad Mir; Ganesh Chandra Dash; Rajesh Kumar Meher; Prajna Parimita Mohanta; Kumar Sambhav Chopdar; Pranab Kishor Mohapatra; Iswar Baitharu; Ajaya Kumar Behera; Mukesh Kumar Raval; Binata Nayak
Journal:  Appl Biochem Biotechnol       Date:  2022-04-02       Impact factor: 3.094

6.  Molecular modeling and dynamics studies of purine nucleoside phosphorylase from Bacteroides fragilis.

Authors:  Ivani Pauli; Luis Fernando Saraiva Macedo Timmers; Rafael Andrade Caceres; Luiz Augusto Basso; Diógenes Santiago Santos; Walter Filgueira de Azevedo
Journal:  J Mol Model       Date:  2009-01-27       Impact factor: 1.810

7.  Characterization of small molecule binding. I. Accurate identification of strong inhibitors in virtual screening.

Authors:  Bo Ding; Jian Wang; Nan Li; Wei Wang
Journal:  J Chem Inf Model       Date:  2013-01-09       Impact factor: 4.956

8.  Determination of Structural Requirements of N-Substituted Tetrahydro-β-Carboline Imidazolium Salt Derivatives Using in Silico Approaches for Designing MEK-1 Inhibitors.

Authors:  Jingwei Liang; Mingyang Wang; Xinyang Li; Xin He; Chong Cao; Fanhao Meng
Journal:  Molecules       Date:  2017-06-19       Impact factor: 4.411

  8 in total

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