Artificial Intelligence Applied to the Rapid Identification of New Antimalarial Candidates with Dual‐Stage Activity-Reference-Cited by-同舟云学术

Artificial Intelligence Applied to the Rapid Identification of New Antimalarial Candidates with Dual‐Stage Activity

Published:2021-03-16 Issue:7 Volume:16 Page:1093-1103
ISSN:1860-7179
Container-title:ChemMedChem
language:en
Short-container-title:ChemMedChem

Author:

Lima Marilia N. N.¹,Borba Joyce V. B.¹²,Cassiano Gustavo C.²³,Mottin Melina¹,Mendonça Sabrina S.¹,Silva Arthur C.¹,Tomaz Kaira C. P.²,Calit Juliana⁴,Bargieri Daniel Y.⁴,Costa Fabio T. M.²,Andrade Carolina H.¹²^ORCID

Affiliation:

1. LabMol – Laboratory for Molecular Modeling and Drug Design Faculty of Pharmacy Federal University of Goias Rua 240, qd. 87 Goiânia GO 74605-170 Brazil

2. Laboratory of Tropical Diseases – Prof. Dr. Luiz Jacintho da Silva Department of Genetics Evolution, Microbiology and Immunology Institute of Biology 13083-970 Campinas SP Brazil

3. Global Health and Tropical Medicine (GHTM) Instituto de Higiene e Medicina Tropical Universidade Nova de Lisboa Lisbon Portugal

4. Department of Parasitology Institute of Biomedical Sciences University of São Paulo 05508-000 São Paulo SP Brazil

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Fundação de Amparo à Pesquisa do Estado de São Paulo

Fundação de Amparo à Pesquisa do Estado de Goiás

Publisher

Wiley

Subject

Organic Chemistry,General Pharmacology, Toxicology and Pharmaceutics,Molecular Medicine,Drug Discovery,Biochemistry,Pharmacology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cmdc.202000685

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5. In vivo/ex vivo efficacy of artemether–lumefantrine and artesunate–amodiaquine as first-line treatment for uncomplicated falciparum malaria in children: an open label randomized controlled trial in Burkina Faso

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