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Pritee Chunarkar Patil

Observed names: P. Chunarkar Patil, P. Chunarkar-Patil, Patil, Pritee Chunarkar, Pritee Chunarkar-Patil
ORCID: 0000-0002-7705-8484
Observed ORCID: 0000-0002-7705-8484
OpenAlex ID: A5008877866
Anticancer Drug Discovery Based on Natural Products: From Computational Approaches to Clinical Studies
2024 · Pritee Chunarkar-Patil, Mohammed Kaleem, et al. · Biomedicines · 454
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Multi-step molecular docking and dynamics simulation-based screening of large antiviral specific chemical libraries for identification of Nipah virus glycoprotein inhibitors
2020 · Malti Sanjay Kalbhor, Shovonlal Bhowmick, et al. · Biophysical Chemistry · 28
Pharmacoinformatics approach based identification of potential Nsp15 endoribonuclease modulators for SARS-CoV-2 inhibition
2021 · Rutuja Umesh Savale, Shovonlal Bhowmick, et al. · Archives of Biochemistry and Biophysics · 22
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Pharmacoinformatics-based identification of anti-bacterial catalase-peroxidase enzyme inhibitors
2019 · Chaitanya Sadashiv Jangam, Shovonlal Bhowmick, et al. · Computational Biology and Chemistry · 22
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Identification of novel hit molecules targeting M. tuberculosis polyketide synthase 13 by combining generative AI and physics-based methods
2024 · Rupesh V. Chikhale, Rinku Choudhary, et al. · Computers in Biology and Medicine · 20
Identification of Mycobacterium tuberculosis transcriptional repressor EthR inhibitors: Shape-based search and machine learning studies
2024 · Rupesh V. Chikhale, Gaber E. Eldesoky, et al. · Heliyon · 17
Identification of mycobacterial Thymidylate kinase inhibitors: a comprehensive pharmacophore, machine learning, molecular docking, and molecular dynamics simulation studies
2024 · Rupesh V. Chikhale, Surbhi Pravin Pawar, et al. · Molecular Diversity · 12
Machine learning assisted methods for the identification of low toxicity inhibitors of Enoyl-Acyl Carrier Protein Reductase (InhA)
2024 · Rupesh V. Chikhale, Heba Taha M. Abdelghani, et al. · Computational Biology and Chemistry · 11
De novo design based identification of potential HIV-1 integrase inhibitors: A pharmacoinformatics study
2020 · Pooja Balasaheb Shinde, Shovonlal Bhowmick, et al. · Computational Biology and Chemistry · 9
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Identification of bio-active food compounds as potential SARS-CoV-2 PLpro inhibitors-modulators via negative image-based screening and computational simulations
2022 · Shovonlal Bhowmick, Nora Abdullah AlFaris, et al. · Computers in Biology and Medicine · 8
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Identification of potential cruzain inhibitors using de novo design, molecular docking and dynamics simulations studies
2019 · Shovonlal Bhowmick, Rekha Dhondiram Chorge, et al. · Journal of Biomolecular Structure and Dynamics · 7
Identification of phosphodiesterase 10 A modulators for neurodegenerative and psychiatric disorders: Combination of physics-based virtual screening and machine learning approaches
2026 · Vipra Ajay Parekh, Musarat Amina, et al. · Computational Biology and Chemistry · 5
Pharmacophore guided deep learning approach to identify novel inhibitors targeting mycobacterial polyketide synthase Pks13-TE domain
2024 · Rinku Choudhary, Shovonlal Bhowmick, et al. · Journal of Molecular Structure · 5
Big data analytics
2018 · Pritee Chunarkar Patil, Akshanda Bhosale · Open Access Journal of Science · 5
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Anti-breast cancer potential of fluoro-containing triazole-synthesized hybrid molecules: In-vitro screening and Force Field-based molecular dynamics approach
2025 · Malik Nasibullah, Altaf Ahmad Shah, et al. · Next research. · 4
Investigation of bio-active Amaryllidaceae alkaloidal small molecules as putative SARS-CoV-2 main protease and host TMPRSS2 inhibitors: interpretation by in-silico simulation study
2023 · Shovonlal Bhowmick, Tapan Kumar Mistri, et al. · Journal of Biomolecular Structure and Dynamics · 4
Hepatitis C Virus (HCV) and the Role of Phytochemicals in the Antiviral Effects of Different Medicinal Plants Against Infection
2023 · A. S. Moghe, M. M. Deshpande, et al. · Reference series in phytochemistry · 4
Identification of Potent CHK2 Inhibitors‐Modulators for Therapeutic Application in Cancer: A Machine Learning Integrated Fragment‐Based Drug Design Approach
2024 · Mahima Sudhir Kolpe, Vikramsinh Sardarsinh Suryawanshi, et al. · ChemistrySelect · 3
Identification of Peregrin inhibitors-modulators by harnessing the computational prowess of molecular simulation and machine learning algorithms
2024 · Hemchandra Deka, Atul Darasing Pawar, et al. · Journal of Molecular Liquids · 3
Host–microbial symbiotic relationships in sponges
2023 · Darshit Patel, Pritee Chunarkar-Patil, et al. · Elsevier eBooks · 3
Virtual reality in bioinformatics
2019 · Pritee Chunarkar Patil, Tanisha Batra · Open Access Journal of Science · 3
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Identification of potential 3CLpro inhibitors-modulators for human norovirus infections through an advanced virtual screening approach
2025 · Shovonlal Bhowmick, Tapan Kumar Mistri, et al. · Journal of Biomolecular Structure and Dynamics · 2
Integrated Artificial Intelligence and Physics-Based Methods for the De novo Design of Spleen Tyrosine Kinase (SYK) Inhibitors
2025 · Atul Darasing Pawar, Heba Taha M. Abdelghani, et al. · Medicinal Chemistry · 2
Machine learning-integrated and fingerprint-based similarity search against immuno oncology library for identification of novel ERK2 inhibitors
2024 · Vikramsinh Sardarsinh Suryawanshi, Surbhi Pravin Pawar, et al. · Structural Chemistry · 2
Identification of Aurora A kinase allosteric inhibitors: A comprehensive virtual screening through fingerprint-based similarity search, molecular docking, machine learning and molecular dynamics simulation
2024 · Mahima Sudhir Kolpe, Surbhi Pravin Pawar, et al. · Journal of Molecular Liquids · 2
Works count: 58
Citation count: 667
H-index: 9
I10-index: 8
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