Computational identification of chemical compounds with potential anti-Chagas activity using a classification tree-Reference-Cited by-同舟云学术

Computational identification of chemical compounds with potential anti-Chagas activity using a classification tree

Published:2021-01-02 Issue:1 Volume:32 Page:71-83
ISSN:1062-936X
Container-title:SAR and QSAR in Environmental Research
language:en
Short-container-title:SAR and QSAR in Environmental Research

Author:

Castillo-Garit J.A.¹²^ORCID,Barigye S.J.³^ORCID,Pham-the H.⁴^ORCID,Pérez-Doñate V.⁵,Torrens F.⁶^ORCID,Pérez-Giménez F.²

Affiliation:

1. Unidad de Toxicología Experimental, Universidad de Ciencias Médicas de Villa Clara, Villa Clara, Cuba

2. Unidad de Investigación de Diseño de Fármacos y Conectividad Molecular, Departamento de Química Física, Facultad de Farmacia, Universitat de València, Valencia, Spain

3. Departamento de Química Física Aplicada, Facultad de Ciencias, Universidad Autónoma de Madrid (UAM), Madrid, Spain

4. Department of Pharmaceutical Chemistry, Hanoi University of Pharmacy, Hanoi, Viet-nam

5. Departamento de Microbiología, Hospital Universitario de la Ribera, Valencia, Spain

6. Institut Universitari de Ciència Molecular, Universitat de València, Edifici d’Instituts de Paterna, València, Spain

Publisher

Informa UK Limited

Subject

Drug Discovery,Molecular Medicine,General Medicine,Bioengineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/1062936X.2020.1863857

Reference43 articles.

1. Neglected tropical diseases

2. Measuring Progress in Neglected Disease Drug Development

3. Current advances in drug discovery for Chagas disease

4. Chagas disease: Current perspectives on a forgotten disease

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