Literature DB >> 30806519

DataWarrior: an evaluation of the open-source drug discovery tool.

Edgar López-López1,2, J Jesús Naveja1,3, José L Medina-Franco1.   

Abstract

INTRODUCTION: DataWarrior is open and interactive software for data analysis and visualization that integrates well-established and novel chemoinformatics algorithms in a single environment. Since its public release in 2014, DataWarrior has been used by research groups in universities, government, and industry. Areas covered: Herein, the authors discuss, in a critical manner, the tools and distinct technical features of DataWarrior and analyze the areas of opportunity. Authors also present the most common applications as well as emerging uses in research areas beyond drug discovery with an emphasis on multidisciplinary projects. Expert opinion: In the era of big data and data-driven science, DataWarrior stands out as a technology that combines prediction of physicochemical properties of pharmaceutical interest, cheminformatics calculations, multivariate data analysis, and interactive visualization with dynamic plots. The well-established chemoinformatics tools implemented in DataWarrior, as well as the innovative algorithms, make the technology useful and attractive as revealed by the increasing number of documented applications.

Keywords:  Big data; chemoinformatics; data visualization; drug discovery; statistical analysis; structure-activity relationships

Year:  2019        PMID: 30806519     DOI: 10.1080/17460441.2019.1581170

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


  12 in total

1.  Polarizability: a promising descriptor to study chemical-biological interactions.

Authors:  Hiteshi Tandon; Prabhat Ranjan; Tanmoy Chakraborty; Vandana Suhag
Journal:  Mol Divers       Date:  2020-03-07       Impact factor: 2.943

2.  In silico design and in vitro assessment of anti-Helicobacter pylori compounds as potential small-molecule arginase inhibitors.

Authors:  Ana Thereza Fiori-Duarte; João Paulo de Oliveira Guarnieri; Jessica Rodrigues Pereira de Oliveira Borlot; Marcelo Lancellotti; Ricardo Pereira Rodrigues; Rodrigo Rezende Kitagawa; Daniel Fábio Kawano
Journal:  Mol Divers       Date:  2022-01-08       Impact factor: 2.943

3.  Latin American databases of natural products: biodiversity and drug discovery against SARS-CoV-2.

Authors:  Marvin J Núñez; Bárbara I Díaz-Eufracio; José L Medina-Franco; Dionisio A Olmedo
Journal:  RSC Adv       Date:  2021-05-04       Impact factor: 4.036

4.  A Machine Learning-Based Prediction Platform for P-Glycoprotein Modulators and Its Validation by Molecular Docking.

Authors:  Onat Kadioglu; Thomas Efferth
Journal:  Cells       Date:  2019-10-21       Impact factor: 6.600

5.  CPE-DB: An Open Database of Chemical Penetration Enhancers.

Authors:  Ekaterina P Vasyuchenko; Philipp S Orekhov; Grigoriy A Armeev; Marine E Bozdaganyan
Journal:  Pharmaceutics       Date:  2021-01-07       Impact factor: 6.321

6.  Colombian Contributions Fighting Leishmaniasis: A Systematic Review on Antileishmanials Combined with Chemoinformatics Analysis.

Authors:  Jeysson Sánchez-Suárez; Freddy A Bernal; Ericsson Coy-Barrera
Journal:  Molecules       Date:  2020-12-03       Impact factor: 4.411

7.  Tubulin Inhibitors: A Chemoinformatic Analysis Using Cell-Based Data.

Authors:  Edgar López-López; Carlos M Cerda-García-Rojas; José L Medina-Franco
Journal:  Molecules       Date:  2021-04-24       Impact factor: 4.411

8.  Repurposing the antibacterial drugs for inhibition of SARS-CoV2-PLpro using molecular docking, MD simulation and binding energy calculation.

Authors:  Rohit Patel; Jignesh Prajapati; Priyashi Rao; Rakesh M Rawal; Meenu Saraf; Dweipayan Goswami
Journal:  Mol Divers       Date:  2021-09-30       Impact factor: 3.364

9.  Progress on open chemoinformatic tools for expanding and exploring the chemical space.

Authors:  José L Medina-Franco; Norberto Sánchez-Cruz; Edgar López-López; Bárbara I Díaz-Eufracio
Journal:  J Comput Aided Mol Des       Date:  2021-06-18       Impact factor: 4.179

Review 10.  Cheminformatics to Characterize Pharmacologically Active Natural Products.

Authors:  José L Medina-Franco; Fernanda I Saldívar-González
Journal:  Biomolecules       Date:  2020-11-17
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.