Machine Learning Approaches Identify Chemical Features for Stage-Specific Antimalarial Compounds.

van Heerden, Ashleigh; Turon, Gemma; Duran-Frigola, Miquel; Pillay, Nelishia; Birkholtz, Lyn-Marié

van Heerden, Ashleigh; Turon, Gemma; Duran-Frigola, Miquel; Pillay, Nelishia; Birkholtz, Lyn-Marié.

Afiliação

van Heerden A; Department of Biochemistry, Genetics and Microbiology, Institute for Sustainable Malaria Control, University of Pretoria, Private Bag X20, Hatfield 0028, South Africa.
Turon G; Ersilia Open Source Initiative, 28 Belgrave Road, Cambridge CB1 3DE, U.K.
Duran-Frigola M; Ersilia Open Source Initiative, 28 Belgrave Road, Cambridge CB1 3DE, U.K.
Pillay N; Department of Computer Science, University of Pretoria, Private Bag X20, Hatfield 0028, South Africa.
Birkholtz LM; Department of Biochemistry, Genetics and Microbiology, Institute for Sustainable Malaria Control, University of Pretoria, Private Bag X20, Hatfield 0028, South Africa.

ACS Omega ; 8(46): 43813-43826, 2023 Nov 21.

Article em En | MEDLINE | ID: mdl-38027377

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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 3_ND Base de dados: MEDLINE Idioma: En Revista: ACS Omega Ano de publicação: 2023 Tipo de documento: Article

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