Identification of anti-cyanobacterial leads targeting carbonic anhydrase from phytochemical database using <i>in silico</i> approach.

Padhiary, Archana; Mir, Showkat A; Tete, Sheary S; Baitharu, Iswar; Nayak, Binata

Identification of anti-cyanobacterial leads targeting carbonic anhydrase from phytochemical database using in silico approach.

Padhiary, Archana; Mir, Showkat A; Tete, Sheary S; Baitharu, Iswar; Nayak, Binata.

Afiliación

Padhiary A; School of Life Sciences, Sambalpur University, Jyotivihar, Burla, 768019, Odisha, India.
Mir SA; School of Life Sciences, Sambalpur University, Jyotivihar, Burla, 768019, Odisha, India.
Tete SS; School of Life Sciences, Sambalpur University, Jyotivihar, Burla, 768019, Odisha, India.
Baitharu I; Department of Environmental Sciences, Sambalpur University, Jyotivihar, Burla, 768019, Odisha, India.
Nayak B; School of Life Sciences, Sambalpur University, Jyotivihar, Burla, 768019, Odisha, India.

BioTechnologia (Pozn) ; 104(2): 121-136, 2023.

Article en En | MEDLINE | ID: mdl-37427029

Palabras clave

ADMET analysis; lead optimizations; molecular docking simulations; phytochemical database

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: BioTechnologia (Pozn) Año: 2023 Tipo del documento: Article País de afiliación: India Pais de publicación: Polonia

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