| Agro-morphological variability and genetic diversity in linseed (Linum usitatissimum L.) germplasm accessions with emphasis on flowering and maturity time A Saroha, D Pal, V Kaur, S Kumar, A Bartwal, J Aravind, J Radhamani, ... Genetic Resources and Crop Evolution 69, 315–333, 2021 | 17 | 2021 |
| Identification of QTNs Associated With Flowering Time, Maturity, and Plant Height Traits in Linum usitatissimum L. Using Genome-Wide Association Study A Saroha, D Pal, SS Gomashe, Akash, V Kaur, S Ujjainwal, S Rajkumar, ... Frontiers in Genetics, 1275, 2022 | 11 | 2022 |
| Metabolomics A Sengupta, P Narad Omics approaches, technologies and applications: Integrative approaches for …, 2018 | 8 | 2018 |
| Transcription factor information system (TFIS): a tool for detection of transcription factor binding sites P Narad, A Kumar, A Chakraborty, P Patni, A Sengupta, G Wadhwa, ... Interdisciplinary Sciences: Computational Life Sciences 9, 378-391, 2017 | 6 | 2017 |
| In silico Identification of Ergosterol as a Novel Fungal Metabolite Enhancing RuBisCO Activity in Lycopersicum esculentum J Mitra, P Narad, A Sengupta, PD Sharma, PK Paul Interdisciplinary Sciences: Computational Life Sciences 8, 229-240, 2016 | 6 | 2016 |
| Docking studies for tuberculosis taking alanine racemase as a receptor and a novel plant source quercetin as a potential drug source S Narad, P., Jain, A. International Journal of Pharma and Bio Sciences 5 (3), B31-B39, 2014 | 4 | 2014 |
| Gene expression, molecular docking, and molecular dynamics studies to identify potential antifungal compounds targeting virulence proteins/genes VelB and THR as possible drug … H Kamboj, L Gupta, P Kumar, P Sen, A Sengupta, P Vijayaraghavan Frontiers in Molecular Biosciences 9, 1055945, 2022 | 3 | 2022 |
| Proteome analysis using machine learning approaches and its applications to diseases A Sengupta, G Naresh, A Mishra, D Parashar, P Narad Advances in Protein Chemistry and Structural Biology 127, 161-216, 2021 | 3 | 2021 |
| Construction of discrete model of human pluripotency in predicting lineage-specific outcomes and targeted knockdowns of essential genes P Narad, L Anand, R Gupta, A Sengupta Scientific reports 8 (1), 11031, 2018 | 3 | 2018 |
| HEPNet: A knowledge base model of human energy pool network for predicting the energy availability status of an individual A Sengupta, M Grover, A Chakraborty, S Saxena PloS one 10 (6), e0127918, 2015 | 3 | 2015 |
| PluriMetNet: A dynamic electronic model decrypting the metabolic variations in human embryonic stem cells (hESCs) at fluctuating oxygen concentrations S Bharti, A Sengupta, P Chugh, P Narad Journal of Biomolecular Structure and Dynamics 40 (10), 4570-4578, 2022 | 2 | 2022 |
| Multi-parametric disease dynamics study and analysis of the COVID-19 epidemic and implementation of population-wide intrusions: The Indian perspective S Bharti, P Narad, P Chugh, A Choudhury, S Bhatnagar, A Sengupta medRxiv, 2020.06. 02.20120360, 2020 | 2 | 2020 |
| VIRdb: a comprehensive database for interactive analysis of genes/proteins involved in the pathogenesis of vitiligo P Srivastava, A Choudhury, M Talwar, S Mohanty, P Narad, A Sengupta PeerJ 8, e9119, 2020 | 2 | 2020 |
| Glucose concentration varies logarithmically under both glycemic conditions in a computationally reconstructed human energy pool network (HEPNet) A Sengupta, P Narad 2016 International Conference on Bioinformatics and Systems Biology (BSB), 1-4, 2016 | 2 | 2016 |
| Comparative homology modeling and docking of lamin a molecule and its incidence in progeria P Narad, M Malpani, V Chakraborty, A Sengupta Int j pharm bio sci, 1164-1170, 2012 | 2 | 2012 |
| Identification of Distinct Vaginal Microbiota Signatures Contributing Toward Preterm Birth Using an Integrative Computational Approach S Kulshreshtha, P Narad, B Singh, D Modi, A Sengupta Korean Society for Microbiology and Biotechnology 51 (1), 109-123, 2023 | 1 | 2023 |
| Systems Biology Paradigm for Exploring the Relation Between Obesity and Ovarian Cancer with a Focus on Their Genome-Scale Metabolic Models P Narad, R Gupta, S Mohanty, R Sharma, N Abbasi, A Sengupta Emerging Technologies in Data Mining and Information Security: Proceedings …, 2022 | 1 | 2022 |
| Plant metabolomics: A new era in the advancement of agricultural research P Narad, R Gupta, A Sengupta Bioinformatics in Agriculture, 139-160, 2022 | 1 | 2022 |
| Metabolomics and flux balance analysis P Narad, G Naresh, A Sengupta Bioinformatics, 337-365, 2022 | 1 | 2022 |
| VIRdb 2.0: Interactive analysis of comorbidity conditions associated with vitiligo pathogenesis using co-expression network-based approach P Srivastava, M Talwar, A Yadav, A Choudhary, S Mohanty, S Bharti, ... F1000Research 9, 2020 | 1 | 2020 |
Dr. Priyanka NaradScientist (Bioinformatics), ICMR Hqrs, New DelhiVerified email at icmr.gov.in
