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Prabha Garg

National Institute of Pharmaceutical Education and ResearchIN
ORCID0000-0002-6922-4809
h-index
28

via OpenAlex

Citations
2,201

via OpenAlex

Publications
113

About

Prabha Garg is a researcher at the National Institute of Pharmaceutical Education and Research. With over 113 publications spanning from 1970 to 2025, her work focuses on machine learning approaches for predicting protein characteristics, drug metabolism, and reaction outcomes. Her research explores various applications, including cancer treatment, neurotoxicity, and enzyme classification.

Research areas

  • Chemistry
  • Biology
  • Medicine
  • Computer science
  • Biochemistry

Publications (113)

Sorted by most cited.

  1. 22 cites
  2. HToPred: A Tool for Human Topoisomerase II Inhibitor Prediction

    Molecular Informatics1970journal article

    View DOI
    5 cites
  3. 2 cites
  4. Proteintox: A multifaceted machine learning strategy for identifying cardiotoxic, neurotoxic, and enterotoxic proteins

    2025

    View DOI
    1 cites
  5. 0 cites
  6. Developing a predictive QSAR model for FGFR-1 inhibitors: integrating computational and experimental validation

    2025

    View DOI
    0 cites
  7. Enhanced Chemical Reaction Mining through Combined Model Adaptation and Prompt Engineering

    Journal of Chemical Information and Modeling2025journal article

    View DOI
    0 cites
  8. 0 cites
  9. Redefining precision medicine in hepatocellular carcinoma through omics, translational, and AI-based innovations

    The Journal of Precision Medicine: Health and Disease2025journal article

    View DOI
    0 cites
  10. DeepADRA2A: predicting adrenergic α2a inhibitors using deep learning

    Journal of Biomolecular Structure and Dynamics2024journal article

    View DOI
    0 cites
  11. Predictive Modeling and Drug Repurposing for Type-II Diabetes

    ACS Medicinal Chemistry Letters2024journal article

    View DOI
    0 cites
  12. Cancer pharmacoinformatics: Databases and analytical tools

    Functional & Integrative Genomics2024journal article

    View DOI
    0 cites
  13. AndroPred: an artificial intelligence-based model for predicting androgen receptor inhibitors

    Journal of Biomolecular Structure and Dynamics2024journal article

    View DOI
    0 cites
  14. TNFipred: a classification model to predict TNF-α inhibitors

    Molecular Diversity2024journal article

    View DOI
    0 cites
  15. Unlocking translational machinery for antitubercular drug development

    Trends in Biochemical Sciences2024journal article

    View DOI
    0 cites
  16. 0 cites
  17. Carbamate as a potential anti‐Alzheimer's pharmacophore: A review

    Drug Development Research2023journal article

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    0 cites
  18. 0 cites
  19. 0 cites
  20. Machine learning-enabled predictive modeling to precisely identify the antimicrobial peptides.

    Medical & biological engineering & computing2021journal article

    View DOI
    0 cites
  21. 0 cites
  22. QSAR study of curcumine derivatives as HIV-1 integrase inhibitors.

    Current computer-aided drug design2013journal article

    View DOI
    0 cites
  23. Bioinformatics: Theory and Applications

    The Quintessence of Basic and Clinical Research and Scientific Publishing1970book chapter

    View DOI
    0 cites
  24. Vitamin-Based Derivatives for the Management of Alzheimer’s Disease

    Natural Product-based Synthetic Drug Molecules in Alzheimer's Disease1970book chapter

    View DOI
    0 cites
  25. 0 cites
  26. ChemSuite: A package for chemoinformatics calculations and machine learning

    Chemical Biology and Drug Design1970journal article

    View DOI
    0 cites
  27. Predicting inhibitors for multidrug resistance associated protein-2 transporter by machine learning approach

    Combinatorial Chemistry and High Throughput Screening1970journal article

    View DOI
    0 cites
  28. Pyridoxal kinase: A vitamin B6 salvage pathway enzyme from Leishmania donovani

    International Journal of Biological Macromolecules1970journal article

    View DOI
    0 cites
  29. Selective Fusion of Heterogeneous Classifiers for Predicting Substrates of Membrane Transporters

    Journal of Chemical Information and Modeling1970journal article

    View DOI
    0 cites
  30. Biological evaluation of small molecule inhibitors of Mtb-ASADH enzyme

    Letters in Drug Design and Discovery1970journal article

    View DOI
    0 cites
  31. Pharmacoinformatics analysis to identify inhibitors of Mtb-ASADH

    Journal of Biomolecular Structure and Dynamics1970journal article

    View DOI
    0 cites
  32. 0 cites
  33. QSAR study of curcumine derivatives as HIV-1 integrase inhibitors

    Current Computer-Aided Drug Design1970journal article

    0 cites
  34. MSubCellProt: Predicting protein multiple subcellular localization using machine learning

    3rd International Conference on Bioinformatics and Computational Biology 2011, BICoB 20111970conference paper

    0 cites
  35. Synthesis and Antileishmanial activity of Piperoyl-Amino Acid Conjugates

    European Journal of Medicinal Chemistry1970journal article

    View DOI
    0 cites
  36. Docking-based 3D-QSAR study of HIV-1 integrase inhibitors

    European Journal of Medicinal Chemistry1970journal article

    View DOI
    0 cites
  37. LeishBase: Leishmania major structural database

    International Journal of Integrative Biology1970journal article

    0 cites
  38. QSAR modeling of CCR5 receptor antagonists using artificial neural network

    Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, AIA 20071970conference paper

    0 cites
  39. In silico prediction of blood brain barrier permeability: An artificial neural network model

    Journal of Chemical Information and Modeling1970journal article

    View DOI
    0 cites