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Ajaykumar Gandhi
Researcher at Research Department
Cancer Therapeutics And Mechanisms
Diabetes Treatment And Management
Drug Discovery
Immunology
Synthesis And Biological Activity
165
Citations
7
H-index
0
Patents
12
Publications
0
Grants
$0
Total Funding
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Research Contributions
SARS-CoV-2 3CLpro Inhibitor Identification
Identified a novel hit as a SARS CoV-2 3CLpro inhibitor using QSAR-based virtual screening, supported by molecular docking, molecular dynamics simulation, and MMGBSA calculations.
Arabian Journal of Chemistry (2021)
ALK Tyrosine Kinase Inhibitor Optimization
Recognized pharmacophoric features for optimizing ALK tyrosine kinase inhibitors as anticancer leads using QSAR, molecular docking, MD simulation, and MMGBSA calculations.
Molecules (2022)
Anti-SARS-CoV Peptide Compound Analysis
Extended the identification of structural features responsible for anti-SARS-CoV activity of peptide-type compounds using QSAR modeling.
SAR and QSAR in environmental research (2020)
Aldose Reductase Inhibitor Identification for Diabetes
Identified potent aldose reductase inhibitors as antidiabetic agents using QSAR-based virtual screening, molecular docking, MD simulation, and MMGBSA approaches.
Saudi Pharmaceutical Journal (2022)
Lysine-Specific Histone Demethylase 1A Inhibitor Analysis
Unraveled structural features in Lysine-Specific Histone Demethylase 1A inhibitors for novel anticancer lead development using QSAR, molecular docking, MD simulation, and MMGBSA.
Molecules (2022)
SGLT2 Inhibitor Analysis for Anti-Hyperglycemic Lead Development
Performed QSAR analysis of sodium glucose co-transporter 2 (SGLT2) inhibitors for anti-hyperglycemic lead development.
SAR and QSAR in environmental research (2021)
Pazopanib-Loaded PLGA Nanoparticles for Cancer Chemotherapy
Developed and evaluated pazopanib-loaded PLGA nanoparticles for enhanced bioavailability and sustained release in cancer chemotherapy.
Current Trends in Pharmacy and Pharmaceutical Chemistry (2025)
L-Proline as an Organo-Catalyst
Summarized advances in the use of L-Proline as a versatile organo-catalyst in organic chemistry.
Combinatorial Chemistry & High Throughput Screening (2022)
Research Highlights
Ajaykumar Gandhi is a researcher specializing in computational drug discovery, with a focus on QSAR modeling, molecular docking, and simulation techniques for identifying potential inhibitors for diseases like cancer, diabetes, and viral infections. His work contributes to the development of novel therapeutic leads through in silico methods.
Research Areas
Cancer Therapeutics And MechanismsDiabetes Treatment And ManagementDrug DiscoveryImmunologySynthesis And Biological Activity
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