| Therapeutics for COVID-19: from computation to practices—where we are, where we are heading to PK Ojha, S Kar, JG Krishna, K Roy, J Leszczynski Molecular Diversity 25, 625-659, 2021 | 62 | 2021 |
| Chemometric modeling of power conversion efficiency of organic dyes in dye sensitized solar cells for the future renewable energy JG Krishna, PK Ojha, S Kar, K Roy, J Leszczynski Nano Energy 70, 104537, 2020 | 39 | 2020 |
| QSPR modeling of absorption maxima of dyes used in dye sensitized solar cells (DSSCs) JG Krishna, K Roy Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 265, 120387, 2022 | 15 | 2022 |
| QSAR modelling of organic dyes for their acute toxicity in daphnia magna using 2d-descriptors KR Jillella Gopala Krishna SAR and QSAR in environmental research 33 (2), 111-139, 2022 | 13 | 2022 |
| Application of QSARs in identification of mutagenicity mechanisms of nitro and amino aromatic compounds against Salmonella typhimurium species GK Jillella, K Khan, K Roy Toxicology in vitro 65, 104768, 2020 | 11 | 2020 |
| Application of QSAR for the identification of key molecular fragments and reliable predictions of effects of textile dyes on growth rate and biomass values of Raphidocelis … GK Jillella, PK Ojha, K Roy Aquatic Toxicology 238, 105925, 2021 | 10 | 2021 |
| Chemometric modeling of absorption maxima of carbazole dyes used in dye-sensitized solar cells J Gopala Krishna, PK Ojha, K Roy Development of Solar Cells: Theory and Experiment, 207-232, 2021 | 3 | 2021 |
| Recent advancements in QSAR and machine learning approaches for risk assessment of organic chemicals PM Khan, GK Jillella, K Roy QSAR in Safety Evaluation and Risk Assessment, 167-185, 2024 | 2 | 2024 |
| Integrated Modeling of Organic Chemicals in Tadpole Ecotoxicological Assessment: Exploring Qstr, Q-Rasar, and Intelligent Consensus Prediction Techniques K Khan, GK Jillella, A Gajewicz-Skretna Q-Rasar, and Intelligent Consensus Prediction Techniques, 0 | 1 | |
| Artificial Neural Network (ANN) Modeling of Odor Threshold Property of Diverse Chemical Constituents of Black Tea and Coffee JG Krishna, PK Ojha Research Anthology on Artificial Neural Network Applications, 375-398, 2022 | | 2022 |
| Machine learning algorithms to Predict clinical Outcomes in Chronic Obstructive Pulmonary Disease and Asthma: A Systematic Review Protocol MC Boya Chandra sekhar, Vidyasagr Kota, Gopala Krishna Jillella https://www.crd.york.ac.uk/pro, 2019 | | 2019 |
| BiAnaCA: Tool for Calculation and Data Analysis of BioAnalytes in Biochemical Assay PVB T Turakhiya Abhikumar, J Gopalakrishna, G Sivakumar, Sujit R Tangadpalliwar Indo-US conference on Molecular Modelling and Informatics in Drug Design, 2014 | | 2014 |
KUNAL ROYProfessor, Jadavpur University, DTC Laboratory, Dept. Pharmaceutical Technology, IndiaVerified email at jadavpuruniversity.in
