| Treatment of infectious disease: beyond antibiotics A Nigam, D Gupta, A Sharma Microbiological research 169 (9-10), 643-651, 2014 | 155 | 2014 |
| Assessment of the metabolic capacity and adaptability of aromatic hydrocarbon degrading strain Pseudomonas putida CSV86 in aerobic chemostat culture A Nigam, PS Phale, PP Wangikar Bioresource Technology 114, 484-491, 2012 | 15 | 2012 |
| Structure modeling of novel DNA glycosylase enzyme from oral pathogen Streptococcus sanguinis A Sharma, A Nigam Bioinformation 5 (3), 136, 2010 | 8 | 2010 |
| Scale-up and inhibitory studies on productivity of lipase from Acinetobacter radioresistens PR8 KK Gupta, A Nigam, S Jagtap, R Krishna Journal of bioscience and bioengineering 124 (2), 150-155, 2017 | 7 | 2017 |
| COVID-19 diagnostics: a panoramic view on its present scenario, challenges and solutions M Quraishi, SK Upadhyay, A Nigam Proceedings of the National Academy of Sciences, India Section B: Biological …, 2022 | 5 | 2022 |
| Computational finding of potential inhibitor for Cytochrome P450 Mono-oxygenases Enzyme of Mycobacterium tuberculosis A Sharma, KK Subbias, O Robine, I Chaturvedi, A Nigam, N Sharma, ... Bioinformation 8 (19), 931, 2012 | 4 | 2012 |
| Dynamics of rate limiting enzymes involved in the sequential substrate uptake by Pseudomonas putida CSV86: Modeling and experimental validation D Das, A Basu, A Nigam, PS Phale, PP Wangikar Process biochemistry 46 (3), 701-708, 2011 | 4 | 2011 |
| In-silico identification of natural antiviral drug against SARS-CoV-2 and comparison with potential FDA approved drug targets S Akermi, N Lohar, S Sinha, S Johari, S Jayant, A Nigam Journal of Science 3 (4), 84-94, 2020 | 2 | 2020 |
| Prediction of Skin Sensitization by in-silico tools: Today and future R Biswas, S Akermi, A Nigam Journal of Science 3 (3), 35-41, 2020 | 2 | 2020 |
| Processing of biofuels D Gupta, A Singh, A Sharma, A Nigam Biofuels Production, 59-84, 2013 | 2 | 2013 |
| Drug Response Prediction Using Machine Learning S Akermi, S Sahoo, R Panesar, J Bernard, A Dey, R Biswas, S Johari, ... Computational Intelligence in Oncology: Applications in Diagnosis, Prognosis …, 2022 | 1 | 2022 |
| Computational Intelligence Methods for the Diagnosis of COVID-19 S Akermi, S Sinha, S Johari, S Jayant, A Nigam Computational Intelligence Methods in COVID-19: Surveillance, Prevention …, 2021 | 1 | 2021 |
| Photo-bioreactors: Harnessing Solar Energy in Biological Way A Nigam, A Sharma Proceedings of the National Academy of Sciences, India Section B: Biological …, 2020 | 1 | 2020 |
| Identification of Extracellular Signal of Secretory Peptides in Cyanobacterium aponinum PCC10605 by In Silico Approach R Nandru, R Badhwar, N Roy, S Dasgupta, A Nigam Proceedings of the National Academy of Sciences, India Section B: Biological …, 2024 | | 2024 |
| Recent Advances in Algal Bio-Cathode Powered Microbial Fuel Cells N Savla, A Nigam Whole-Cell Biocatalysis, 443-463, 2024 | | 2024 |
| Nature-Inspired Computing Techniques in Drug Design, Development, and Therapeutics S Akermi, A Dey, NF Lee, R Lee, N Larzat, JB Idoipe, R Biswas, JK Simak, ... Nature-Inspired Intelligent Computing Techniques in Bioinformatics, 275-292, 2022 | | 2022 |
| Potential Microorganisms for Power Generation via Microbial Fuel Cells P Patil, R Singh, A Nigam Novel Feedstocks for Biofuels Production, 359-368, 2022 | | 2022 |
| Molecular Docking And Toxicity Analysis of FDA Approved Drugs And Plant Metabolites Against Potential Biomarkers To Target Human Hepatocellular Carcinoma J kaur Simak, A Nigam, A SHARMA Journal of Science 5 (3), 13-14, 2022 | | 2022 |
| Designing of Antimicrobial compounds and finding their mechanism of inhibition on Pseudomonas aeruginosa by in-silico approach T Agasam, A Nigam, A Sharma Journal of Science 5 (3), 11, 2022 | | 2022 |
| Tools and utilities cyanobacterial genetic engineering: A road to photosynthetic microbial cell factories R Nandru, M Quraishi, N Roy, A Nigam Journal of Science 5 (1), 8-39, 2022 | | 2022 |
