Insilico evaluation on potential Mt-Sp1/matriptase inhibitors data: DFT and molecular modelling approaches.
Data Brief
; 55: 110565, 2024 Aug.
Article
em En
| MEDLINE
| ID: mdl-38952955
ABSTRACT
Nine heterocyclic compounds were investigated using density functional theory, molecular operating environment software, material studio, swissparam (Swiss drug design) software. In this work, the descriptors generated from the optimized compounds proved to be efficient and explain the level of reactivity of the investigated compound. The developed quantitative structure activity relationship (QSAR) model was predictive and reliable. Also, compound 9 proved to be capable of inhibiting Mt-Sp1/Matriptase (pdb id 1eax) than other examined heterocyclic compounds. Target prediction analysis was carried out on the compound with highest binding affinity (Compound 9) and the results were reported.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Idioma:
En
Revista:
Data Brief
Ano de publicação:
2024
Tipo de documento:
Article