Prabha Garg

Orcid: 0000-0002-6922-4809

According to our database1, Prabha Garg authored at least 18 papers between 2006 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Explainable AI-driven Alzheimer's disease stage diagnosis leveraging CNN.
Evol. Syst., June, 2026

A novel context-aware retrieval framework for biomedical knowledge integration with large language models.
Inf. Fusion, 2026

2025
Developing a predictive QSAR model for FGFR-1 inhibitors: integrating computational and experimental validation.
J. Comput. Aided Mol. Des., December, 2025

Diagnosing Respiratory Variability: Convolutional Neural Networks for Chest X-ray Classification Across Diverse Pulmonary Conditions.
J. Imaging Inform. Medicine, 2025

Enhanced Chemical Reaction Mining through Combined Model Adaptation and Prompt Engineering.
J. Chem. Inf. Model., 2025

Can LLMs revolutionize text mining in chemistry? A comparative study with domain-specific tools.
Comput. Stand. Interfaces, 2025

Enzyme classification integrating LSTM and Prot-BERT sequence encoding.
Appl. Soft Comput., 2025

2024
CRAFT: a web-integrated cavity prediction tool based on flow transfer algorithm.
J. Cheminformatics, December, 2024

2023
Deep learning-based prediction model for diagnosing gastrointestinal diseases using endoscopy images.
Int. J. Medical Informatics, September, 2023

2021
Machine learning-enabled predictive modeling to precisely identify the antimicrobial peptides.
Medical Biol. Eng. Comput., 2021

2020
Structure-Based Virtual Screening to Discover Potential Lead Molecules for the SARS-CoV-2 Main Protease.
J. Chem. Inf. Model., 2020

2017
Selective Fusion of Heterogeneous Classifiers for Predicting Substrates of Membrane Transporters.
J. Chem. Inf. Model., 2017

Comparative conformational variation and flexibility analysis of binding site D-loop and its importance in designing of potential tankyrases inhibitors.
Int. J. Comput. Biol. Drug Des., 2017

2011
MSubCellProt: Predicting Protein Multiple Subcellular Localization using Machine Learning.
Proceedings of the ISCA 3rd International Conference on Bioinformatics and Computational Biology, 2011

2010
eBiochem: A Web Based Bioinformatics and Life Science Job Management System for a HPC Cluster.
Proceedings of the 2010 International Conference on Grid Computing & Applications, 2010

2009
SubCellProt: Predicting Protein Subcellular Localization Using Machine Learning Approaches.
Silico Biol., 2009

2007
QSAR modeling of CCR5 receptor antagonists using artificial neural network.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2007

2006
In Silico Prediction of Blood Brain Barrier Permeability: An Artificial Neural Network Model.
J. Chem. Inf. Model., 2006


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