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Prabha Garg

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

via OpenAlex

Citations
2,221

via OpenAlex

Publications
148

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 (148)

Sorted by most cited.

  1. In silico prediction of blood brain barrier permeability: An artificial neural network model

    Journal of Chemical Information and Modeling1970journal article

    View DOI
    132 cites
  2. The efficiency and fidelity of 8-oxo-guanine bypass by DNA polymerases   and

    2009

    View DOI
    106 cites
  3. 105 cites
  4. Estimation of leaf total chlorophyll and nitrogen concentrations using hyperspectral satellite imagery

    2007

    View DOI
    70 cites
  5. 63 cites
  6. Synthesis and Antileishmanial activity of Piperoyl-Amino Acid Conjugates

    European Journal of Medicinal Chemistry1970journal article

    View DOI
    57 cites
  7. Accuracy of the implant impression obtained from different impression materials and techniques: review

    2011

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

    European Journal of Medicinal Chemistry1970journal article

    View DOI
    38 cites
  9. Selective Fusion of Heterogeneous Classifiers for Predicting Substrates of Membrane Transporters

    Journal of Chemical Information and Modeling1970journal article

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

    International Journal of Biological Macromolecules1970journal article

    View DOI
    31 cites
  11. Machine learning-enabled predictive modeling to precisely identify the antimicrobial peptides.

    Medical & biological engineering & computing2021journal article

    View DOI
    29 cites
  12. 28 cites
  13. Carbamate as a potential anti‐Alzheimer's pharmacophore: A review

    Drug Development Research2023journal article

    View DOI
    27 cites
  14. 23 cites
  15. 22 cites
  16. Pharmacoinformatics analysis to identify inhibitors of Mtb-ASADH

    Journal of Biomolecular Structure and Dynamics1970journal article

    View DOI
    21 cites
  17. ChemSuite: A package for chemoinformatics calculations and machine learning

    Chemical Biology and Drug Design1970journal article

    View DOI
    20 cites
  18. Molecular explorations of the Leishmania donovani 6-phosphogluconolactonase enzyme, a key player in the pentose phosphate pathway

    2022

    View DOI
    17 cites
  19. In Silico Modeling for Blood—Brain Barrier Permeability Predictions

    2007

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

    Combinatorial Chemistry and High Throughput Screening1970journal article

    View DOI
    11 cites
  21. 10 cites
  22. Cancer pharmacoinformatics: Databases and analytical tools

    Functional & Integrative Genomics2024journal article

    View DOI
    9 cites
  23. 9 cites
  24. 7 cites
  25. 6 cites
  26. TNFipred: a classification model to predict TNF-α inhibitors

    Molecular Diversity2024journal article

    View DOI
    6 cites
  27. Cystathionine <b><i>β</i></b>-Lyase-Like Protein with Pyridoxal Binding Domain Characterized in <i>Leishmania major</i> by Comparative Sequence Analysis and Homology Modelling

    2013

    View DOI
    6 cites
  28. HToPred: A Tool for Human Topoisomerase II Inhibitor Prediction

    Molecular Informatics1970journal article

    View DOI
    5 cites
  29. Redefining precision medicine in hepatocellular carcinoma through omics, translational, and AI-based innovations

    The Journal of Precision Medicine: Health and Disease2025journal article

    View DOI
    4 cites
  30. Predictive Modeling and Drug Repurposing for Type-II Diabetes

    ACS Medicinal Chemistry Letters2024journal article

    View DOI
    4 cites
  31. Analysis of uncertainty ratio in classified imagery using independent indicator entropy

    2018

    View DOI
    4 cites
  32. Biological evaluation of small molecule inhibitors of Mtb-ASADH enzyme

    Letters in Drug Design and Discovery1970journal article

    View DOI
    4 cites
  33. A literature survey for fuzzy based soft classification techniques and uncertainty estimation

    2016

    View DOI
    3 cites
  34. QSAR study of curcumine derivatives as HIV-1 integrase inhibitors.

    Current computer-aided drug design2013journal article

    View DOI
    3 cites
  35. Active site binding interactions of β-carboline derivative for HIV reverse transcriptase, protease and integrase

    2010

    View DOI
    3 cites
  36. LeishBase: Leishmania major structural database.

    2009

    3 cites
  37. Unlocking translational machinery for antitubercular drug development

    Trends in Biochemical Sciences2024journal article

    View DOI
    2 cites
  38. 2 cites
  39. Accuracy of Classified Imagery without using Reference Data Set

    2018

    View DOI
    2 cites
  40. QSAR modeling of CCR5 receptor antagonists using artificial neural network

    2007

    2 cites
  41. Bioinformatics: Theory and Applications

    The Quintessence of Basic and Clinical Research and Scientific Publishing1970book chapter

    View DOI
    2 cites
  42. 1 cites
  43. Facilitating Precision Medicine in HCC Patients by Deep Learning–Directed lncRNAs Classification and Ascertaining Causal Markers

    2025

    View DOI
    1 cites
  44. A novel context-aware retrieval framework for biomedical knowledge integration with large language models

    2025

    View DOI
    1 cites
  45. Proteintox: A multifaceted machine learning strategy for identifying cardiotoxic, neurotoxic, and enterotoxic proteins

    2025

    View DOI
    1 cites
  46. Decoding Cervical Cancer Biomarkers: An Integrated Framework of Bioinformatics, Machine Learning, and Experimental Confirmation

    2025

    View DOI
    1 cites
  47. Enhanced Chemical Reaction Mining through Combined Model Adaptation and Prompt Engineering

    Journal of Chemical Information and Modeling2025journal article

    View DOI
    1 cites
  48. Rhodanine composite fluorescence probes to detect amyloid-beta aggregated species in Alzheimer's disease models

    2023

    View DOI
    1 cites
  49. Design, Synthesis, and biological evaluation of pyrazolo-benzothiazole derivatives as a potential therapeutic agent for the treatment of Alzheimer’s disease

    2022

    View DOI
    1 cites
  50. Discovery of putative G-protein-biased µ-opioid agonists via hierarchical virtual screening of ultra-large chemical space

    2026

    View DOI
    0 cites
  51. Explainable AI-driven Alzheimer’s disease stage diagnosis leveraging CNN

    2026

    View DOI
    0 cites
  52. OpioidBias: A Machine Learning Tool for Predicting the Biased Agonism of Opioid Ligands

    2025

    View DOI
    0 cites
  53. Pharmacoinformatics-based identification of dual inhibitors of leishmanial DHFR and PTR1 enzymes

    2025

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

    2025

    View DOI
    0 cites
  55. Deep Learning–Assisted Virtual Screening of a Large Chemical Library for Selective GSK3β Inhibitors

    2025

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

    Journal of Biomolecular Structure and Dynamics2024journal article

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

    Journal of Biomolecular Structure and Dynamics2024journal article

    View DOI
    0 cites
  58. Author response for "Stoichiometry of ligand binding and role of C‐terminal lysines in &lt;i&gt;Mycobacterium tuberculosis&lt;/i&gt; and human &lt;scp&gt;GAPDH&lt;/scp&gt; multifunctionality"

    2024

    View DOI
    0 cites
  59. Prediction of Antimicrobial Peptides Using Machine Learning Approach

    2024

    View DOI
    0 cites
  60. Issue Information

    2023

    View DOI
    0 cites
  61. Data Identification of a Temporal Data for Soft classifiers FCM and PCM

    2021

    0 cites
  62. A Design Entropy Based Hybrid Soft Classifier Algorithms for Improving Classification Performance of a Satellite Data

    2019

    View DOI
    0 cites
  63. Interaction associated to ADR database (InAADR): An adverse drug reactions resource for drug, food and protein interactions

    2017

    0 cites
  64. Comparative conformational variation and flexibility analysis of binding site D-loop and its importance in designing of potential tankyrases inhibitors

    2017

    View DOI
    0 cites
  65. Impact of violence against woman on work place

    2016

    View DOI
    0 cites
  66. Computational Approaches for Enzyme Functional Class Prediction: A Review

    2015

    View DOI
    0 cites
  67. Combined surgical and prosthetic approach for rehabilitation of frontonasal defect using custom made titanium implant: a case report

    2011

    View DOI
    0 cites
  68. MSubCellProt: Predicting Protein Multiple Subcellular Localization using Machine Learning.

    2011

    0 cites
  69. eBiochem: A Web Based Bioinformatics and Life Science Job Management System for a HPC Cluster.

    2010

    0 cites
  70. Creation and validation of S. pombe gene database for GenMAPP analysis

    2007

    0 cites
  71. 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
  72. QSAR study of curcumine derivatives as HIV-1 integrase inhibitors

    Current Computer-Aided Drug Design1970journal article

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

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

    0 cites
  74. LeishBase: Leishmania major structural database

    International Journal of Integrative Biology1970journal article

    0 cites
  75. 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