Insilico Evaluation on Potential Mt-Sp1/Matriptase Inhibitors Data: DFT and Molecular Modelling Approaches

Published: 27 December 2023| Version 1 | DOI: 10.17632/y323rrk4h6.1
Contributors:
Abel Kolawole Oyebamiji, SUNDAY AKINTELU, David G. Oke, Oluwatobi D Adekunle, Adesoji A. Olanrewaju, Omowumi Temitayo AKINOLA

Description

The data generated were efficient for studying anti cancer properties of nine heterocyclic compounds. In this work, series of method and analysis were employed to investigate this work and these methods were fully explained in the investigation carried out.

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Institutions

Bowen University

Categories

Anti-Inflammatory Drug

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