Crossmark

QSAR and machine learning-driven proposition of novel 1,3,4-oxadiazoles and structure-based studies of their antibacterial activities against Xanthomonas oryzae

Crossref DOI link: https://doi.org/10.1007/s00214-025-03174-9

Published Online: 2025-02-10

Published Print: 2025-02

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

de Faria, Ingrid V. P.

de Mesquita, Antônio Pedro Lemos

da Cunha, Elaine F. F.

Freitas, Matheus P.
Funding

Funding for this research was provided by:

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (001)

Conselho Nacional de Desenvolvimento Científico e Tecnológico (306830/2021-3)

Fundação de Amparo à Pesquisa do Estado de Minas Gerais
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Text and Data Mining valid from 2025-02-01

Version of Record valid from 2025-02-01
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Article History

Received: 2 December 2024

Accepted: 24 January 2025

First Online: 10 February 2025

Declarations

:

: The authors declare no competing interests.

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