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International Journal of Zoology and Applied Biosciences Research Article
Integrating OMIM-driven insights for advanced pharmacophore modeling
Dharma Prakash V, Anto Suganya R, Swathi T, Sibi S and Pradeepa A K
Year : 2025 | Pages: 246-250
Received on: 17/09/2025
Revised on: 25/10/2025
Accepted on: 28/10/2025
Published on: 25/11/2025
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Dharma Prakash V, Anto Suganya R, Swathi T, Sibi S and Pradeepa A K( 2025).
Integrating OMIM-driven insights for advanced pharmacophore modeling
. International Journal of Zoology and Applied Biosciences, 10( 6), 246-250.
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Abstract
The integration of genetic disorder data with computational drug discovery workflows has become increasingly important for improving target identification and ligand design. This study presents an integrative pharmacophore modeling framework that leverages genetic and phenotypic insights from the Online Mendelian Inheritance in Man (OMIM) database to enhance the precision and biological relevance of pharmacophore models. Disease-associated genes, pathogenic variants, and molecular pathways extracted from OMIM were systematically mapped to their corresponding protein targets. Structural and functional characteristics of these targets were analyzed to generate pharmacophore hypotheses that reflect disease-specific molecular interactions. Ligand datasets were curated from bioactivity repositories to validate and optimize the generated pharmacophore models. The integrative approach demonstrated improved predictive power in virtual screening, facilitating the identification of novel hit compounds with high specificity to genetically validated disease targets. This study highlights the value of incorporating OMIM-based genetic information into pharmacophore modeling to accelerate hypothesis-driven and precision-guided drug discovery.
Keywords
Pharmacophore modeling, OMIM, Genetic insights, Drug discovery, Disease-associated targets.
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© The Author(s) 2025. This article is published by International Journal of Zoology and Applied Biosciences under the terms of the Creative Commons Attribution 4.0 International License (creativecommons.org), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
