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Identification of structural and functional hotspots of Human genome through graph theory and machine learning algorithms

Implementing Organization

Birla Institute of Technology and Science
Principal Investigator
Prof. Shibasish Chowdhury
Birla Institute of Technology and Science

Project Overview

DNA functions largely depend on the interaction of DNA molecules with other molecules, with DNA sequence and structure playing a crucial role. Graph theory-based interaction network analysis helps understand these relationships, including protein stability, dynamics, enzymatic activity, allosteric regulation, signal transduction, and protein kinetics. This study proposes evaluating the nucleotide interaction network of the genome sequence and mapping structure-function correlation. The strength of the DNA network in functionally important genomic regions will be used to develop a machine-learning model to predict functional hotspots in unannotated genomic regions. This analysis provides insights into the specific role of specific DNA sequences in the genome and can reveal DNA reactivity.
Funding Organization
Funding Organization
Science and Engineering Research Board (SERB), New Delhi
Anusandhan National Research Foundation (ANRF)
Quick Information
Area of Research
Life Sciences & Biotechnology
Focus Area
Bioinformatics
Start Year
2024
End Year
2027
Sanction Amount
₹ 6.60 L
Status
Ongoing
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
N/A
Startup (If Any)
00
No. of Patents
Filed :00
Grant :00
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