Bioinformatics and AI for Microbiome-Targeted Discovery of Plant-Derived Therapeutics
AI & Microbiome-Targeted Therapeutics
| Year | 2025 |
|---|---|
| Location | PES University |
| Tags | QSAR, RDKit, KNIME, MetaboAnalyst |
A systems-level framework linking phytochemistry, metagenomics, metabolomics and transcriptomics to model compound–microbiome–host interactions, extended to personalized nutrigenomics.
Jun 2024 – Apr 2025 at PES University, supervised by Dr. Reshma S V.
- 01Compound analysis
Sequence analysis, molecular descriptors and QSAR / ADMET profiling of plant-derived compounds.
BLAST, QSAR Toolbox, RDKit, OpenBabel - 02Workflows & networks
Automated workflows and compound–gene–disease networks.
Pipeline Pilot, KNIME, Cytoscape - 03Multi-omics
Integrated metagenomics, metabolomics, transcriptomics and phytochemical data to model compound–microbiome–host interactions.
MetaboAnalyst, Multi-omics integration - 04AI methods
Classification, clustering and deep learning for compound–microbiome interactions, microbial biotransformation and host response.
Machine learning, Deep learning - 05Nutrigenomics
Extended the framework to personalised nutrigenomics: microbial metabolism, host genetic variation and AI-predicted phytochemical responses.
Nutrigenomics