Items where Author is "Bharadwaj, Shiv Kumar"

Article

Bahuguna, Ashutosh and Bharadwaj, Shiv Kumar and Bajpai, Vivek K. and Shukla, Shruti and Won, Dong Wook and Park, In Wha and Na, Min Kyun and Sonwal, Sonam and Huh, Yun Suk and Han, Young Kyu and Simal-Gandara, Jesus and Xiao, Jianbo and Kim, Myunghee (2021) Insights into cyclooxygenase-2 inhibition by isolated bioactive compounds 3-caffeoyl-4-dihydrocaffeoyl quinic acid and isorhamnetin 3-O-beta-D-glucopyranoside from Salicornia herbacea. Phytomedicine, 90 . ISSN 0944-7113 (Print) 1618-095X (Online)

Bharadwaj, Shiv Kumar and Rao, Akhilesh Kumar and Dwivedi, Vivek Dhar and Mishra, Sarad Kumar and Yadava, Umesh (2021) Structure-based screening and validation of bioactive compounds as Zika virus methyltransferase (MTase) inhibitors through first-principle density functional theory, classical molecular simulation and QM/MM affinity estimation. Journal of Biomolecular Structure and Dynamics, 39 (7). pp. 2338-2351. ISSN 0739-1102 (Print) 1538-0254 (Online)

Bahuguna, Ashutosh and Bharadwaj, Shiv Kumar and Chauhan, Anil Kumar and Kang, Sun Chul (2020) Inhibitory insights of strawberry (Fragaria × ananassa var. Seolhyang) root extract on tyrosinase activity using computational and in vitro analysis. International Journal of Biological Macromolecules, 165 . pp. 2773-2788. ISSN 0141-8130 (Print) 1879-0003 (Online)

Kaushik, Aman Chandra and Kumar, Ajay and Peng, Zhennan and Khan, Abbas and Junaid, Muhammad and Ali, Arif and Bharadwaj, Shiv Kumar and Wei, Dong Qing (2019) Evaluation and validation of synergistic effects of amyloid-beta inhibitor-gold nanoparticles complex on Alzheimer's disease using deep neural network approach. Journal of Materials Research, 34 (11). pp. 1845-1853. ISSN 0884-2914 (Print) 2044-5326 (Online)

Kaushik, Aman Chandra and Kumar, Ajay and Rehman, Ashfaq Ur and Junaid, Muhammad and Khan, Abbas and Bharadwaj, Shiv Kumar and Sahi, Shakti and Wei, Dong Qing (2018) Deciphering g-protein-coupled receptor 119 agonists as promising strategy against type 2 diabetes using systems biology approach. ACS Omega, 3 (12). pp. 18214-18226. ISSN 2470-1343

Kaushik, Aman Chandra and Bharadwaj, Shiv Kumar and Kumar, Sanjay and Wei, Dong Qing (2018) Nano-particle mediated inhibition of Parkinson's disease using computational biology approach. Scientific Reports, 8 (1). ISSN 2045-2322

Dwivedi, Vivek Dhar and Tripathi, Indra Prasad and Kaushik, Aman Chandra and Bharadwaj, Shiv Kumar and Mishra, Sarad Kumar (2018) Biological Data Analysis Program (BDAP): a multitasking biological sequence analysis program. Neural Computing and Applications, 30 (5). pp. 1493-1501. ISSN 0941-0643 (Print) 1433-3058 (Online)

Kaushik, Aman Chandra and Kumar, Ajay and Dwivedi, Vivek Dhar and Bharadwaj, Shiv Kumar and Kumar, Sanjay and Bharti, Kritika and Kumar, Pavan and Chaudhary, Ravi Kumar and Mishra, Sarad Kumar (2018) Deciphering the biochemical pathway and pharmacokinetic study of amyloid βeta-42 with superparamagnetic iron oxide nanoparticles (SPIONs) using systems biology approach. Molecular Neurobiology, 55 (4). pp. 3224-3236. ISSN 0893-7648 (Print) 1559-1182 (Online)

Bharadwaj, Shiv Kumar and Pandey, Ashish and Yağcı, Barış and Özgüz, Volkan and Qureshi, Anjum (2018) Graphene nano-mesh-Ag-ZnO hybrid paper for sensitive SERS sensing and self-cleaning of organic pollutants. Chemical Engineering Journal, 336 . pp. 445-455. ISSN 1385-8947 (Print) 1873-3212 (Online)

Dwivedi, Vivek Dhar and Tripathi, Indra Prasad and Tripathi, Ramesh Chandra and Bharadwaj, Shiv Kumar and Mishra, Sarad Kumar (2017) Genomics, proteomics and evolution of dengue virus. Briefings in Functional Genomics, 16 (4). pp. 217-227. ISSN 2041-2649 (Print) 2041-2657 (Online)

Bharadwaj, Shiv Kumar and Mitchell, Robert J. and Qureshi, Anjum and Kolkar Mohammed, Javed Hussain Niazi (2017) Toxicity evaluation of e-juice and its soluble aerosols generated by electronic cigarettes using recombinant bioluminescent bacteria responsive to specific cellular damages. Biosensors and Bioelectronics, 90 . pp. 53-60. ISSN 0956-5663 (Print) 1873-4235 (Online)

Kaushik, Aman Chandra and Pal, Anirudh and Kumar, Akash and Dwivedi, Vivek Dhar and Bharadwaj, Shiv Kumar and Pandey, Amit and Mishra, Sarad Kumar and Sahi, Shakti (2017) Internal transcribed spacer sequence database of plant fungal pathogens: PFP-ITSS database. Informatics in Medicine Unlocked, 7 . pp. 34-38. ISSN 2352-9148

Dwivedi, Vivek Dhar and Tripathi, Indra Prasad P. and Bharadwaj, Shiv Kumar and Kaushik, Aman Chandra and Mishra, Sarad Kumar (2016) Identification of new potent inhibitors of dengue virus NS3 protease from traditional Chinese medicine database. VirusDisease, 27 (3). pp. 220-225. ISSN 2347-3584 (Print) 2347-3517 (Online)

Book Section / Chapter

Kaushik, Aman Chandra and Kumar, Ajay and Bharadwaj, Shiv Kumar and Chaudhary, Ravi and Sahi, Shakti (2018) Genomics and proteomics using computational biology. In: Kaushik, Aman Chandra and Kumar, Ajay and Bharadwaj, Shiv and Chaudhary, Ravi and Sahi, Shakti, (eds.) Bioinformatics Techniques for Drug Discovery: Applications for Complex Diseases. SpringerBriefs in Computer Science. Springer Cham, pp. 47-57. ISBN 978-3-319-75731-5 (Print) 978-3-319-75732-2 (Online)

Kaushik, Aman Chandra and Kumar, Ajay and Bharadwaj, Shiv Kumar and Chaudhary, Ravi and Sahi, Shakti (2018) Ligand-based approach for in-silico drug designing. In: Kaushik, Aman Chandra and Kumar, Ajay and Bharadwaj, Shiv and Chaudhary, Ravi and Sahi, Shakti, (eds.) Bioinformatics Techniques for Drug Discovery: Applications for Complex Diseases. SpringerBriefs in Computer Science. Springer Cham, pp. 11-19. ISBN 978-3-319-75731-5 (Print) 978-3-319-75732-2 (Online)

Kaushik, Aman Chandra and Kumar, Ajay and Bharadwaj, Shiv Kumar and Chaudhary, Ravi and Sahi, Shakti (2018) Molecular dynamics simulation approach to investigate dynamic behaviour of system through the application of newtonian mechanics. In: Kaushik, Aman Chandra and Kumar, Ajay and Bharadwaj, Shiv and Chaudhary, Ravi and Sahi, Shakti, (eds.) Bioinformatics Techniques for Drug Discovery: Applications for Complex Diseases. SpringerBriefs in Computer Science. Springer Cham, pp. 33-36. ISBN 978-3-319-75731-5 (Print) 978-3-319-75732-2 (Online)

Kaushik, Aman Chandra and Kumar, Ajay and Bharadwaj, Shiv Kumar and Chaudhary, Ravi and Sahi, Shakti (2018) Receptor thermodynamics of ligand–receptor or ligand–enzyme association. In: Kaushik, Aman Chandra and Kumar, Ajay and Bharadwaj, Shiv and Chaudhary, Ravi and Sahi, Shakti, (eds.) Bioinformatics Techniques for Drug Discovery: Applications for Complex Diseases. SpringerBriefs in Computer Science. Springer Cham, pp. 37-42. ISBN 978-3-319-75731-5 (Print) 978-3-319-75732-2 (Online)

Kaushik, Aman Chandra and Kumar, Ajay and Bharadwaj, Shiv Kumar and Chaudhary, Ravi and Sahi, Shakti (2018) Structure-based approach for in-silico drug designing. In: Kaushik, Aman Chandra and Kumar, Ajay and Bharadwaj, Shiv and Chaudhary, Ravi and Sahi, Shakti, (eds.) Bioinformatics Techniques for Drug Discovery: Applications for Complex Diseases. SpringerBriefs in Computer Science. Springer Cham, pp. 21-25. ISBN 978-3-319-75731-5 (Print) 978-3-319-75732-2 (Online)

Kaushik, Aman Chandra and Kumar, Ajay and Bharadwaj, Shiv Kumar and Chaudhary, Ravi and Sahi, Shakti (2018) Thermodynamic cycles and their application in protein targets. In: Kaushik, Aman Chandra and Kumar, Ajay and Bharadwaj, Shiv and Chaudhary, Ravi and Sahi, Shakti, (eds.) Bioinformatics Techniques for Drug Discovery: Applications for Complex Diseases. SpringerBriefs in Computer Science. Springer Cham, pp. 43-46. ISBN 978-3-319-75731-5 (Print) 978-3-319-75732-2 (Online)

Kaushik, Aman Chandra and Kumar, Ajay and Bharadwaj, Shiv Kumar and Chaudhary, Ravi and Sahi, Shakti (2018) Three-dimensional (3D) pharmacophore modelling-based drug designing by computational technique. In: Kaushik, Aman Chandra and Kumar, Ajay and Bharadwaj, Shiv and Chaudhary, Ravi and Sahi, Shakti, (eds.) Bioinformatics Techniques for Drug Discovery: Applications for Complex Diseases. SpringerBriefs in Computer Science. Springer Cham, pp. 27-31. ISBN 978-3-319-75731-5 (Print) 978-3-319-75732-2 (Online)