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

Name: Insilico Evaluation on Potential Mt-Sp1/Matriptase Inhibitors Data: DFT and Molecular Modelling Approaches
Creator: Abel Kolawole Oyebamiji
Published: 2023-12-27T07:04:23.394Z
Keywords: Anti-Inflammatory Drug

Oyebamiji, Abel Kolawole; AKINTELU, SUNDAY; Oke, David G.; Adekunle, Oluwatobi D; Olanrewaju, Adesoji A.; AKINOLA, Omowumi Temitayo

doi:10.17632/y323rrk4h6.1

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.

Files

Institutions

Bowen University

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

Description

Files

Institutions

Categories

Licence