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Advances in Genomic Data Analysis and Drug Discovery

Year: 2025

Type: article

Abstract: Computational biology is at the van of transubstantiation natural exploration, exercising computational models and machine literacy(ML) to interpret complex natural data. This mainly explores operations of machine literacy in genomic data analysis, particularly fastening on relating inheritable variants, prognosticating complaint vulnerability, and enhancing medicine discovery. The challenges in data integration and interpretability of machine literacy models are bandied. The rapid-fire development of AI-driven platforms and substantiated drugs is also stressed as a promising outgrowth of integrating computational biology into clinical practices.

Source: International Journal of Innovative Research in Science Engineering and Technology

DOI: 10.15680/ijirset.2025.1402087

Authors: C K Gomathy, V Geetha, Bhumika V, Chenchu Revathi P

Institution: Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W4408914012

FWCI:

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