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Computational approaches for identifying potential inhibitors on targeting protein interactions in drug discovery
Kanakaveti Vishnupriya, Shanmugam Anusuya, Ramakrishnan C., Anoosha P., Sakthivel R., ,
Published in Elsevier
2020
PMID: 32312424
Volume: 121
   
Pages: 25 - 47
Abstract

In the era of big data, the interplay of artificial and human intelligence is the demanding job to address the concerns involving exchange of decisions between both sides. Drug discovery is one of the key sources of the big data, which involves synergy among various computational methods to achieve a clinical success. Rightful acquisition, mining and analysis of the data related to ligand and targets are crucial to accomplish reliable outcomes in the entire process. Novel designing and screening tactics are necessary to substantiate a potent and efficient lead compounds. Such methods are emphasized and portrayed in the current review targeting protein-ligand and protein-protein interactions involved in various diseases with potential applications.

About the journal
JournalData powered by TypesetAdvances in Protein Chemistry and Structural Biology
PublisherData powered by TypesetElsevier
ISSN18761623
Open AccessNo