Sabyasachi Mohanty
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Publications

Peer-reviewed research, conference papers, and manuscripts

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Refereed

Journal Publications

  1. 0.

    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.

    View / DOI →
  2. 1.

    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.

    View / DOI →
  3. 2.

    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.

    View / DOI →PubMed →
  4. 3.

    M.S. Thesis, Department of Biochemistry, University of Nebraska-Lincoln

    Data-driven Drug Repurposing for Immune System-related Diseases.

    Mohanty, S.

    Lincoln, NE, July 2024. Advisor: Tomas Helikar.

    View / DOI →
  5. 4.

    F1000Research

    VIRdb 2.0: Interactive analysis of comorbidity conditions associated with vitiligo pathogenesis.

    Srivastava, P., Talwar, M., Yadav, A., Choudhary, A., Mohanty, S., et al.

    2020.

    View / DOI →
  6. 5.

    PeerJ

    VIRdb: A comprehensive database for interactive analysis of genes/proteins involved in the pathogenesis of vitiligo.

    Srivastava, P., Choudhury, A., Talwar, M., Mohanty, S., et al.

    2020.

    View / DOI →
  7. 6.

    IJPAS

    Effects of Genistein on Estrogen Receptor as Antagonist Disrupting the Ovulation in Female Wistar Rat.

    Shukla, A., Mohanty, S., Bala, K.

    2020.

    View / DOI →

Conference

Conference Publications & Book Chapters

  1. 1.

    FOCAPO-CPC 2027 (full paper under review), 2027

    CopolPred: Machine Learning Enabled Prediction of Copolymer Reactivity Ratios.

    Mohanty, S., Mohanty, S., Bavarian, M., Safari, H.

  2. 2.

    FOCAPO-CPC 2027 (full paper under review), 2027

    Molytics: A Clustering-Driven Machine Learning Framework for Materials Discovery and Model-Guided Experimental Design.

    Mohanty, S., Paul, B., Mohanty, S., Bavarian, M.

  3. 3.

    9th Conference on Constraint-Based Reconstruction and Analysis (COBRA), co-located with AIChE Annual Meeting, 2024

    Optrecon: An Optimization-Based Framework for Automated Genome-Scale Model Reconstruction upon Resolving Thermodynamically Infeasible Cycles.

    Mohanty, S., et al.

    View Publication →
  4. 4.

    IEMIS, Springer, 2022

    Systems Biology Paradigm for Exploring the Relation Between Obesity and Ovarian Cancer with a Focus on Their Genome-Scale Metabolic Models.

    Narad, P., Gupta, R., Mohanty, S., Sharma, R., Abbasi, N., et al.

    View Publication →
  5. 5.

    ICDAM, 2021

    Heuristic Approach Towards COVID-19: Big Data Analytics and Classification with NLP.

    Mohanty, S., Sharma, R., Saxena, M., Saxena, A.

    View Publication →
  6. 6.

    ICICC, Springer, 2021

    Medical Data Analysis Using Machine Learning with KNN.

    Mohanty, S., Mishra, A., Saxena, A.

    View Publication →

Submitted

Manuscripts Submitted / Under Review

Under Review

Epigenetic Dysregulation in Pancreatic Cancer.

Sultana, H., Solomon, A. D., Wani, A. K., Kumar, V., and Mohanty, S.

Review manuscript submitted to Future Pharmacology • Manuscript ID: futurepharmacol-3731519 • Received: June 16, 2025

Under Review

Beyond Allometric Scaling: Integrating Digital Twins, Metabolic Signaling Networks, and Agent-Based Models for Revolutionary Systems Pharmacology.

Mohanty, S., Sultana, H., Solomon, A. D., and Patel, K. N.

Review manuscript submitted to Future Pharmacology • Manuscript ID: futurepharmacol-3731587 • Received: June 16, 2025

Forthcoming

Manuscripts In Preparation

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In Preparation

Molytics

Molytics: AI-driven clustering and AutoML framework for scientific property prediction, materials discovery, ionic-conductivity modeling, and confidence-aware unseen-data routing.

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In Preparation

CopolPred

CopolPred: Siamese-LSTM framework for copolymer reactivity-ratio prediction and model-guided copolymer design.

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In Preparation

Polymer Copolymerization Prediction Using GAT-GNN

Polymer Copolymerization Prediction Using GAT-GNN: Graph-attention / graph-neural-network approach for polymer copolymerization and sequence-property prediction.

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In Preparation

SpadeTwin

SpadeTwin: Digital-twin framework integrating mechanistic modeling and machine-learning surrogates for chemical reaction engineering, mechanistic reactor modeling, machine-learning surrogate modeling, and process optimization.