Anti-Biofilm: Machine Learning Assisted Prediction of IC<sub>50</sub> Activity of Chemicals Against Biofilms of Microbes Causing Antimicrobial Resistance and Implications in Drug Repurposing.

Rajput, Akanksha; Bhamare, Kailash T; Thakur, Anamika; Kumar, Manoj

Anti-Biofilm: Machine Learning Assisted Prediction of IC₅₀ Activity of Chemicals Against Biofilms of Microbes Causing Antimicrobial Resistance and Implications in Drug Repurposing.

Rajput, Akanksha; Bhamare, Kailash T; Thakur, Anamika; Kumar, Manoj.

Afiliación

Rajput A; Virology Unit and Bioinformatics Centre, Institute of Microbial Technology, Council of Scientific and Industrial Research (CSIR), Sector 39A, Chandigarh 160036, India.
Bhamare KT; Virology Unit and Bioinformatics Centre, Institute of Microbial Technology, Council of Scientific and Industrial Research (CSIR), Sector 39A, Chandigarh 160036, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.
Thakur A; Virology Unit and Bioinformatics Centre, Institute of Microbial Technology, Council of Scientific and Industrial Research (CSIR), Sector 39A, Chandigarh 160036, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.
Kumar M; Virology Unit and Bioinformatics Centre, Institute of Microbial Technology, Council of Scientific and Industrial Research (CSIR), Sector 39A, Chandigarh 160036, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India. Electronic address: manojk@imtech.res.in.

J Mol Biol ; 435(14): 168115, 2023 07 15.

Article en En | MEDLINE | ID: mdl-37356913

Asunto(s)

Antibacterianos; Biopelículas; Reposicionamiento de Medicamentos; Farmacorresistencia Bacteriana; Aprendizaje Automático; Humanos; Antibacterianos/farmacología; Antibacterianos/química; Biopelículas/efectos de los fármacos; Pruebas de Sensibilidad Microbiana; Concentración 50 Inhibidora

Palabras clave

antibiotics resistance; bacteria; biofilm; machine learning; predictor

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biopelículas / Farmacorresistencia Bacteriana / Reposicionamiento de Medicamentos / Aprendizaje Automático / Antibacterianos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Mol Biol Año: 2023 Tipo del documento: Article País de afiliación: India Pais de publicación: Países Bajos

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