Sabyasachi Mohanty
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Research Interests

Computational and systems biologyGenome-scale metabolic modelingMulti-omics integrationAI for drug discoveryPredictive toxicologyPharmacometric modelingBiomedical data scienceDigital twins for biological systemsPolymer and materials informaticsSolid-state electrolyte property predictionKnowledge graphs in biomedical dataHigh-performance scientific computing

Recent Publications

Selected peer-reviewed work from Sabyasachi Mohanty's research portfolio.

BioEssays

AI in Genomics: From Variant Calling to Multi-Omics Integration.

Sultana, H., Mohanty, S., Solomon, A. D., Iqbal, M. Y., Wani, A. K., Kumar, V., Khattri, A.

Volume 48, Issue 7, e70160, 2026.

Oncology Research

Next Generation DNA Damage Response Inhibitors: Harnessing Nanocarriers and Tumor Microenvironment for Precision Cancer Therapy.

Solomon, A. D., Vats, H. K., Chowdhary, S., Kanoujiya, S. N., Prakash, A., Mohanty, S., et al.

34(3), 5.

Briefings in Bioinformatics

COMO: A pipeline for multi-omics data integration in metabolic modeling and drug discovery.

Bessell, B., Loecker, J., Zhao, Z., Aghamiri, S. S., Mohanty, S., et al.

Volume 24, Issue 6, November 2023, bbad387.

About Sabyasachi

Sabyasachi Mohanty is a Ph.D. student in Complex Biosystems at the University of Nebraska-Lincoln, specializing in Chemical Engineering. He is a computational biologist and data scientist whose research spans genome-scale metabolic modeling, multi-omics integration, AI-driven drug discovery, pharmacometric modeling, and polymer and materials informatics.

His work has been published in Briefings in Bioinformatics, Oncology Research, PeerJ, and F1000Research, and supported by NSF MICRA, the U.S. Department of Defense, and NSRI.

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