Integrating Molecular Genetics and Network Pharmacology: In Silico Approaches to Target Rare Disorders and Complex Diseases Using Natural or Chemical Compounds

Dear Colleagues,

The necessity to comprehend the pharmacological effects of small/natural compounds in the treatment of orphan (rare genetic disorders) and complicated disorders (cancer, cardiovascular, neurological, etc.) has grown recently. Through the integration of text mining genes, drug–gene interactions, protein–protein interactions, and other forms of interactome data, molecular docking and network pharmacology techniques seek to identify disease biomarkers and simulate drug mechanisms of action at the systems level. In addition to identifying new targets and illness indications for currently available medications, modelling approaches have also resulted in the prediction of treatment responses for patients. We would like to discuss the latest developments in network modelling techniques/molecular genetics and their applications in the drug discovery process for orphan or complex diseases, including cancer. We are inviting research and review manuscripts that integrate molecular genetics and network pharmacology using in silico and/or experimental approaches. Submissions focusing on the identification of novel therapeutic targets, mechanistic insights, and compound–target interactions for rare and complex diseases—using natural or synthetic compounds—are particularly encouraged.

Dr. Vikas Yadav
Dr. Shakti Ranjan Satapathy
Guest Editors

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