| Application of molecular docking methods on endocrine disrupting chemicals: a review R Satpathy Journal of Applied Biotechnology Reports 7 (2), 74-80, 2020 | 26 | 2020 |
| Quantitative structure–activity relationship methods for the prediction of the toxicity of pollutants R Satpathy Environmental Chemistry Letters 17 (1), 123-128, 2019 | 19 | 2019 |
| Homology modelling of lycopene cleavage oxygenase: The key enzyme of bixin production R Satpathy, RK Guru, R Behera, A Priyadarshini J Comput Sci Syst Biol 3 (3), 2010 | 16 | 2010 |
| Computational QSAR analysis of some physiochemical and topological descriptors of Curcumin derivatives by using different statistical methods R Satpathy, RK Guru, R Behera J Chem Pharm Res 2 (6), 344-50, 2010 | 15 | 2010 |
| Computational phylogenetic study and data mining approach to laccase enzyme sequences R Satpathy, R Behera, SK Padhi, RK Guru J Phylogenet Evol Biol 1 (2), 2013 | 14 | 2013 |
| Quantitative structure-activity modelling of toxic compounds R Satpathy Nanotechnology, food security and water treatment, 313-331, 2018 | 12 | 2018 |
| Prediction of anticancer property of bowsellic acid derivatives by quantitative structure activity relationship analysis and molecular docking study R Satpathy, RK Guru, R Behera, B Nayak Journal of Pharmacy and Bioallied Sciences 7 (1), 21-25, 2015 | 11 | 2015 |
| Application of bioinformatics tools and databases in microbial dehalogenation research: a review R Satpathy, VB Konkimalla, J Ratha Applied biochemistry and microbiology 51, 11-20, 2015 | 11 | 2015 |
| Antidiabetic, antioxidant and studies of bacterial endosymbiont inhabiting L. S Chigurupati, S Vijayabalan, A Karunanidhi, KK Selvarajan, SS Nanda, ... Ovidius University Annals of Chemistry 30 (2), 95-100, 2019 | 10 | 2019 |
| In silico modeling and docking study of potential helicase (nonstructural proteins) inhibitors of novel coronavirus 2019 (severe acute respiratory syndrome coronavirus 2) R Satpathy Biomedical and Biotechnology Research Journal (BBRJ) 4 (4), 330-336, 2020 | 8 | 2020 |
| In Silico Phylogenetic Analysis and Molecular Modelling Study of 2‐Haloalkanoic Acid Dehalogenase Enzymes from Bacterial and Fungal Origin R Satpathy, VB Konkimalla, J Ratha Advances in Bioinformatics 2016 (1), 8701201, 2016 | 8 | 2016 |
| In-silico Comparative Study and Quantitative Structure-activity Relationship Analysis of Some Structural Physiochemical Descriptors of Elvitegravir Analogs R Satpathy, S Ghosh Journal of Young Pharmacists 3 (3), 246-249, 2011 | 6 | 2011 |
| Application of Bioinformatics resources for mining of simple sequence repeats (SSRs) marker in plant genomes: An Overview S Raghunath Research Journal of Biotechnology Vol 17, 8, 2022 | 5 | 2022 |
| In silico prediction of anti–SARS-CoV-2 effect of dermaseptin peptides from amphibian origin R Satpathy Trends in Peptide and Protein Sciences 5, 1-9 (e6), 2020 | 5 | 2020 |
| Therapeutic importance and application of boswellic acid from the plant Boswellia serrata R Satpathy Advanced Pharmacological Uses of Medicinal Plants and Natural Products, 302-315, 2020 | 5 | 2020 |
| Computational tools and techniques to predict aquatic toxicity of some halogenated pollutants R Satpathy Handbook of Research on the adverse effects of pesticide pollution in …, 2019 | 5 | 2019 |
| Application of some medicinal plants and their constituents in the treatment of diabetes mellitus R Satpathy Treating endocrine and metabolic disorders with herbal medicines, 32-47, 2021 | 4 | 2021 |
| In-silico gene co-expression network analysis in Paracoccidioides brasiliensis with reference to haloacid dehalogenase superfamily hydrolase gene R Satpathy, VB Konkimalla, J Ratha Journal of Pharmacy and Bioallied Sciences 7 (3), 212-217, 2015 | 4 | 2015 |
| Homology modelling and molecular dynamics study of plant defensin DM-AMP1 R Satpathy, R Behera, RK Guru Journal of Biochemical Technology 3 (4), 309-311, 2011 | 4 | 2011 |
| Artificial Intelligence Techniques in the Classification and Screening of Compounds in Computer‐Aided Drug Design (CADD) Process R Satpathy Artificial Intelligence and Machine Learning in Drug Design and Development …, 2024 | 3 | 2024 |
