| The role of multidrug resistance protein (MRP-1) as an active efflux transporter on blood–brain barrier (BBB) permeability K Lingineni, V Belekar, SR Tangadpalliwar, P Garg Molecular diversity 21, 355-365, 2017 | 65 | 2017 |
| Ultrasonic disruption of Pseudomonas putida for the release of arginine deiminase: kinetics and predictive models MD Patil, MJ Dev, S Tangadpalliwar, G Patel, P Garg, Y Chisti, ... Bioresource technology 233, 74-83, 2017 | 23 | 2017 |
| ChemSuite: A package for chemoinformatics calculations and machine learning SR Tangadpalliwar, S Vishwakarma, R Nimbalkar, P Garg Chemical Biology & Drug Design 93 (5), 960-964, 2019 | 12 | 2019 |
| Predicting inhibitors for multidrug resistance associated protein-2 transporter by machine learning approach S Kharangarh, H Sandhu, S Tangadpalliwar, P Garg Combinatorial chemistry & high throughput screening 21 (8), 557-566, 2018 | 11 | 2018 |
| Integrated computational solution for predicting skin sensitization potential of molecules KL Sarath Kumar, SR Tangadpalliwar, A Desai, VK Singh, A Jere PloS one 11 (6), e0155419, 2016 | 11 | 2016 |
| Machine learning modelling for the high-pressure homogenization-mediated disruption of recombinant E. coli KD Bhilare, MD Patil, S Tangadpalliwar, MJ Dev, P Garg, UC Banerjee Process Biochemistry 71, 182-190, 2018 | 10 | 2018 |
| Machine Learning modeling for ultrasonication-mediated fermentation of Penicillium brevicompactum to enhance the release of Mycophenolic Acid G Patel, MD Patil, S Tangadpalliwar, SH Nile, P Garg, G Kai, UC Banerjee Ultrasound in Medicine & Biology 47 (3), 777-786, 2021 | 9 | 2021 |
| Machine learning modelling for the ultrasonication-mediated disruption of recombinant E. coli for the efficient release of nitrilase KD Bhilare, MD Patil, S Tangadpalliwar, A Shinde, P Garg, UC Banerjee Ultrasonics 98, 72-81, 2019 | 5 | 2019 |
| Integrated Computational Solution for Predicting Skin Sensitization Potential of Molecules. SK KL, SR Tangadpalliwar, A Desai, VK Singh, A Jere Plos one 11 (6), e0155419-e0155419, 2016 | 1 | 2016 |
| Multi-modal approach for prediction of skin toxicity in small molecules S Tangadpalliwar, D Behera, N Singhal, C Kondragunta Toxicology Letters 350, S87-S88, 2021 | | 2021 |
| Comparative conformational variation and flexibility analysis of binding site D-loop and its importance in designing of potential tankyrases inhibitors PG Rakesh D. Nimbalkar, Sujit R. Tangadpalliwar Journal of Computational Biology and Drug Design, 2017 | | 2017 |
| e-scider: A tool to retrieve, prioritize and analyze the articles from PubMed database SR Tangadpalliwar, R Nimbalkar, P Garg DOI number: 10.17632/IJCA-FEB2017-0005 International Journal of Computer …, 2017 | | 2017 |
| BiAnaCA: A Freely Accessible Tool for Data Analysis of End-Point Biochemical Assay PGPVB Abhikumar TT, Sujit RT, Sivakumar G, Venkateswara Rao A, Kulbhushan T Journal of Bioinformatics Computational and Systems Biology 1 (1), 104, 2015 | | 2015 |
| Molecular insights on dynamics of binding site D-loop of tankyrases: Role of Molecular Dynamics simulations in Computational Drug Design RD Nimbalkar, SR Tangadpalliwar, P Garg | | |
Prabha GargNational Institute of Pharmaceutical Education and Research, S.A.S. NagarVerified email at niper.ac.in