MolPredictX: A Pioneer Mobile App Version for Online Biological Activity Predictions by Machine Learning Models.

Journal: Methods in molecular biology (Clifton, N.J.)
PMID:

Abstract

MolPredictX is a free-access web tool in which it is possible to analyze the prediction of biological activity of chemical molecules. MolPredictX has been available online to the general public for just over a year and has now gone through its first update. We also developed its version for android, being the first free app capable of predicting biological activities. MolPredictX is available for free at https://www.molpredictX.ufpb.br/ , and its mobile application version can be obtained from Google Play.

Authors

  • Marcus Tullius Scotti
    Federal University of Paraíba, Health Science Center, 50670-910, Joao Pessoa, PB, Brazil.
  • Emmanuella Faustino Albuquerque
    Post-Graduate Program in Natural and Synthetic Bioactive Products, Federal University of Paraíba, João Pessoa, PB, Brazil.
  • Ciro Gomes da Silva Junior
    Post-Graduate Program in Natural and Synthetic Bioactive Products, Federal University of Paraíba, João Pessoa, PB, Brazil.
  • Renata P B Menezes
    Post-Graduate Program in Natural and Synthetic Bioactive Products, Federal University of Paraíba, João Pessoa, PB, Brazil.
  • Chonny Herrera-Acevedo
    Post-Graduate Program in Natural and Synthetic Bioactive Products, Federal University of Paraíba, João Pessoa, PB, 58051-900, Brazil.
  • Natália F Sousa
    Post-Graduate Program in Natural and Synthetic Bioactive Products, Federal University of Paraíba, João Pessoa, PB, Brazil.
  • Lucas Ferreira Calado
    Post-Graduate Program in Natural and Synthetic Bioactive Products, Federal University of Paraíba, João Pessoa, PB, Brazil.
  • Eduardo Henrique Pessoa Alves
    Post-Graduate Program in Natural and Synthetic Bioactive Products, Federal University of Paraíba, João Pessoa, PB, Brazil.
  • Luciana Scotti
    Health Sciences Center, Federal University of Paraiba, Campus I, 58051-970, João Pessoa, PB, Brazil. luciana.scotti@gmail.com.