Ravindra Kulkarni

5PUBLICATIONS
10CO-AUTHORS
Cheminformatics and quantitative structure-activity relationshipsBiologically active moleculesMolecular targetsDeep learning
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Publications (5)

|Apr 22, 2026
From in silico and machine learning model to validation: discovery of novel amide-functionalized imidazopyridines as PIM-1 kinase inhibitors using an integrated ligand and structure-based hopping approach.

|Apr 01, 2025
Inspired by molecular dynamic simulation, exploring chemical constituents of alcoholic extract of Garuga pinnata computationally as inhibitors of GluN2B-containing NMDA receptors.

Jagannath Shinge, Amol Muthal, Vinayak Walhekar

|Feb 14, 2025
Synergistic Warriors: Design and Synthesis of Dual-Acting Schiff-Based Threaded 1,2,3-Triazole Hybrids for Potent Antineoplastic and Anti-Mycobacterial Activities.

Vinayak Walhekar, Raghavendra Kulkarni, Mohana Vamsi Nuli

|May 09, 2023
Reconnoitering imidazopyridazines as anticancer agents based on virtual modelling approach: quantitative structure activity relationship, molecular docking and molecular dynamics.

Khandekar Mangala, Walhekar Vinayak, Choudhary Aasiya

|Feb 10, 2023
Machine learning facilitated structural activity relationship approach for the discovery of novel inhibitors targeting EGFR.

Rekha Choudhary, Vinayak Walhekar, Amol Muthal

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Frequent Collaborators

1 joint publications

Vinayak Walhekar

1 joint publications

Raghavendra Kulkarni

1 joint publications

Mohana Vamsi Nuli

1 joint publications

Anil Kumar Garige