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MolPredictX: A Pioneer Mobile App Version for Online Biological Activity Predictions by Machine Learning Models.
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- Author(s): Scotti MT;Scotti MT; Albuquerque EF; Albuquerque EF; da Silva Junior CG; da Silva Junior CG; Menezes RPB; Menezes RPB; Herrera-Acevedo C; Herrera-Acevedo C; Herrera-Acevedo C; Sousa NF; Sousa NF; Calado LF; Calado LF; Alves EHP; Alves EHP; Scotti L; Scotti L
- Source:
Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2025; Vol. 2834, pp. 351-371.- Publication Type:
Journal Article- Language:
English - Source:
- Additional Information
- Source: Publisher: Humana Press Country of Publication: United States NLM ID: 9214969 Publication Model: Print Cited Medium: Internet ISSN: 1940-6029 (Electronic) Linking ISSN: 10643745 NLM ISO Abbreviation: Methods Mol Biol Subsets: MEDLINE
- Publication Information: Publication: Totowa, NJ : Humana Press
Original Publication: Clifton, N.J. : Humana Press, - Subject Terms:
- 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.
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Limited E (2023) ReactionFlash(R). - Contributed Indexing: Keywords: Computer-aided drug design; Quantitative structure activity relationships
- Publication Date: Date Created: 20240923 Date Completed: 20240923 Latest Revision: 20240923
- Publication Date: 20240923
- Accession Number: 10.1007/978-1-0716-4003-6_17
- Accession Number: 39312174
- Source:
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