M. Chandra
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Researcher
Also affiliated: American International Group (United States) (1994); Mangalore University (2014–2022); IPB University (2025); Purdue University West Lafayette (1993); University of Arkansas Medical Center (2025); American Medical Research (1994); Arkansas Cardiology (1994); Pearl River Hydraulic Research Institute (1992–1993); Charles River Laboratories (United States) (1991–1993); Juniata College (2023); Osmania University (2017)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
M. Chandra's research investigates the intersection of diet, the gut microbiome, and human health, with a focus on the metabolic effects of food components. Recent work includes a randomized, crossover study examining walnut consumption and its impact on gut microbial metabolism, assessed using metatranscriptomics. This research also explores the potential of plant-derived compounds, such as those found in Carica papaya and Ricinus communis, through computational approaches like molecular docking and ADMET profiling to identify potential therapeutic applications, including anticancer properties. Additionally, Chandra's work extends to developing computational frameworks for toxicogenomics data analysis, such as the AI framework AIVIVE for in vitro to in vivo extrapolation and GanCtrl for predicting clinical-pathology profiles. With an h-index of 8 and 23 publications, Chandra's scholarship contributes to understanding dietary influences on the microbiome and leveraging computational methods in biological and toxicological research.
Metrics
- h-index: 8
- Publications: 23
- Citations: 163
Selected Publications
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GanCtrl: Synthetic Control Predictions for Liver and Kidney Clinical-Pathology Profiles (Open TG-GATEs) (2025)
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GanCtrl: Synthetic Control Predictions for Liver and Kidney Clinical-Pathology Profiles (Open TG-GATEs) (2025)
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AIVIVE: a novel AI framework for enhanced <i>in vitro</i> to <i>in vivo</i> extrapolation (IVIVE) of toxicogenomics data (2025)
Collaboration Network
Top Collaborators
- AIVIVE: a novel AI framework for enhanced <i>in vitro</i> to <i>in vivo</i> extrapolation (IVIVE) of toxicogenomics data
- AIVIVE: a novel AI framework for enhanced <i>in vitro</i> to <i>in vivo</i> extrapolation (IVIVE) of toxicogenomics data
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