Can I read Computational pharmacology profiling of borapetoside C against melanoma on EtoBox?

Computational pharmacology profiling of borapetoside C against melanoma by Kunal Bhattacharya; Pukar Khanal; Vishal S. Patil; Prarambh S. R. Dwivedi; Nongmaithem Randhoni Chanu; Raushan Kumar Chaudhary; Satyendra Deka; Arup Chakraborty is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

What is Computational pharmacology profiling of borapetoside C against melanoma about?

Melanoma,also known as a 'black tumor', begins in the melanocytes when cells (that produce pigment) grows out of control. Immunological dysregulation, which raises the risk for multiple illnesses, including melanoma, may be influenced by stress tiggered through viral infection, long term effects of ultraviolet radiation, environmental pollutants etc. Borapetoside C is one of the phytoconstituents from Tinospora crispa, and its biological source has been reported for its antistress property. Network pharmacology and KEGG pathway analysis of borapetoside C-regulated proteins were conducted to identify the hub genes involved in melanoma development. Further, a molecular docking was performed between borapetoside C and targets involved in melanoma. Further, the top 3 complexes were selected based on the binding energy to conduct molecular dynamics simulations to evaluate the stability of ligand-protein complex followed by principal component analysis and dynamic crosscorrelation matrix. In addition, borapetoside C was also screened for its pharmacokinetics and toxicity profile. Network Pharmacology studies and KEGG pathway analysis revealed 8 targets involved in melanoma. Molecular doc

Who reads Computational pharmacology profiling of borapetoside C against melanoma?

Author

Kunal Bhattacharya; Pukar Khanal; Vishal S. Patil; Prarambh S. R. Dwivedi; Nongmaithem Randhoni Chanu; Raushan Kumar Chaudhary; Satyendra Deka; Arup Chakraborty

Publisher

Informa UK Limited

Published

2023

Language

EN

Field

Biochemistry, Genetics and Molecular Biology (Life Sciences)