Varun Jaiswal

Assistant Professor / Engineering & Technology
Assistant Professor, Ph.D.


Varun Jaiswal

Assistant Professor at Shoolini University and teaches subjects in Computer Science and Bioinformatics. He has received PhD from Jaypee University of Information Technology in Bioinformatics and M.Tech from Jawaharlal Nehru University New Delhi. Currently applying machine learning and data mining technique to solve different problems in Biology, Medical, and Computer Science.


  1. Bhawana Kumari, Kalpana Chauhan, Jalpa Trivedi, Varun Jaiswal, et al. Benzothiazole-Based-Bioconjugates with Improved Antimicrobial, Anticancer and Antioxidant Potential ChemistrySelect, 3.40 (2018): 11326-11332. DOI: 10.1002/slct.201801936 (Impact Factor: 1.5).
  2. Jaiswal, Varun*. "Multi target drug design for gastrointestinal cancer." Annals of Oncology28.suppl_3 (2017) (Impact Factor: 11.8).
  3. DivyaVishambra, Malay Srivastava, Kamal Dev, VarunJaiswal*: Subcellular localization based comparative study on radioresistant bacteria: A novel approach to mine proteins involve in radioresistance. Journal of Computational Biology and Chemistry., 69 (2017): 1-9. (Impact Factor: 1.33) PMID:28527408
  4. ManjuKashyap, Umar Farooq, Varun Jaiswal*, Homology modelling of frequent HLA class-II alleles:- A perspective to improve prediction of HLA binding peptide and understand the HLA associated disease susceptibility. Infection, Genetics and Evolution. 44 (2016): 234-244.,Accepted. (Impact Factor: 2.8) PMID:27421208
  5. Kumar, Arvind, Jaiswal, Varun et al. "Functional redundancy in Echinocandin B in-cluster transcription factor ecdB of Emericellarugulosa NRRL 11440." Biotechnology Reports (2018): e00264 (in press).
  6. Kumar, Arvind, Jaiswal, Varun et al. Larvicidal Activity of Methanol and Chloroform Extract of Swertiaceliata against Three Mosquito Vectors Journal of Communicable Diseases (2018) 50 17-24.
  7. ManjuKashyap, Varun Jaiswal, Umar Farooq, Prediction and analysis of promiscuous T cell-epitopes derived from the vaccine candidate antigens of Leishmaniadonovani binding to MHC class-II alleles using in silico approach, Infection, Genetics and Evolution, 2017 (Impact Factor: 2.8) PMID:28549876
  8. Varun Jaiswal, Sree Krishna Chanumolu, Pankaj Sharma, Rajinder S Chauhan, Chittaranjan Rout, EpiCombFlu: Exploring known influenza epitopes for universal influenza vaccine design. Bioinformatics. 2013, 29(15): 1904-1907. (PMID: 23716197 ).(Impact Factor: 7.3).
  9. Varun Jaiswal, Sree Krishna Chanumolu, Ankit Gupta, Rajinder S Chauhan, Chittaranjan Rout Jenner-Predict Server: Prediction of protein vaccine candidates (PVCs) in bacteria based on host-pathogen interactions. BMC Bioinformatics. 2013, 1;14(1):211.(PMID: 23815072) (Impact Factor: 2.4).
  10. Varun Jaiswal, Rajinder S Chauhan, Chittaranjan Rout, Common Antigens Prediction in Bacterial Bioweapons: A Perspective for Vaccine Design. Infection, Genetics and Evolution. 21 (2014): 315-319.,(PMID: 24300889) (Impact Factor: 2.8).
  11. Pawan Kumar, Varun Jaiswal, Tarun Pal, Rajinder S. Chauhan., Comparative whole-transcriptome analysis of Podophyllum species (P. hexandrum and P. peltatum) for transcription factors contributing to biosynthesis of podophyllotoxin. Protoplasma, 254.1 (2017): 217-228.. (PMID: 26733390) (IF-2.65)
  12. Sharad Kumar Suthar, Varun Jaiswal, Sandeep Lohan, Sumit Bansal, Anil Chaudhary, Amit Tiwari, Angel Treasa Alex, Alex Joesph Novel quinolone substituted thiazolidin-4-ones as anti-inflammatory, anticancer agents: Design, synthesis and biological screening. European Journal of Medicinal Chemistry. 2013, 63:589-602. (PMID: 23548704) (Impact Factor: 3.5).
  13. Navin Kumar Tailor, Varun Jaiswal, San SweeLan, Hong Boon Lee, Manu Sharma, Synthesis, selective cancer cytotoxicity and mechanistic studies of novel analogs of lantadenes. Anti-Cancer Agents in Medicinal Chemistry, 2013, 1;13(6):957-66. (PMID: 23293887) (Impact Factor: 2.6).
  14. ArchitSood, Varun Jaiswal, et al. "Mining whole genomes and transcriptomes of Jatropha (Jatropha curcas) and Castor bean (Ricinus communis) for NBS-LRR genes and defense response associated transcription factors." Molecular biology reports (2014): 1-13.(PMID: 25106526). (Impact Factor: 1.9).
  15. Patel, H. M., Noolvi, M. N., Sharma, P., Jaiswal, V., et al., Quantitative structure–activity relationship (QSAR) studies as strategic approach in drug discovery. Medicinal Chemistry Research, 1-17. (Impact Factor: 1.612).
  16. Aseem Chawla, TseringStobdan, Ravi B Srivastva, Varun jaiswal et al., Sex-biased temporal gene expression in male and female floral buds of Seabuckthorn (Hippophaerhamnoides). e0124890. Plos One (Impact Factor: 3.7) (PMID: 25915052)
  17. Suthar, Sharad Kumar, Sumit Bansal, MdMaqusoodAlam, Varun Jaiswal, et al.,. "Design, synthesis, and biological evaluation of oxindole derivatives as antidepressive agents." Bioorganic & Medicinal Chemistry Letters.,25.22 (2015): 5281-5285.. (Impact Factor: 2.4), (PMID: 26428872).
  18. Pawan Kumar, Ritika Sharma, Varun Jaiswal, Rajinder S. Chauhan (2016) Identification, validation, and expression of ABC transporters in Podophyllumhexandrum and their role in podophyllotoxin biosynthesis. BiologiaPlanterum., 60(3), 452-458. (IF-1.85)
  19. Khah, S., Goyal, R., Chabba, A., Jaiswal, V., Sharma, G., &Naushad, M, et al. "Certain 4-Iminoflavones Derivatives: Synthesis, Docking Studies, Antiasthmatic and Antimicrobial Agents." Asian Journal of Chemistry 28.8 (2016).
  20. Pal T, Jaiswal V, Chauhan RS: DRPPP: A machine learning based tool for prediction of disease resistance proteins in plants. Computers in Biology and Medicine 2016, 78:42-48. (PMID: 27658260) (Impact Factor: 1.5)
  21. Anjali Negi, Varun Jaiswal*: A First Attempt to Develop a Diabetes Prediction Method Based on Different Global Datasets. Accepted in PDGC 2016 and included in IEEE Xplore Proceedings DOI: 10.1109/PDGC.2016.7913152
  22. Lalaantika Sharma, Gaurav Gupta, Varun Jaiswal*: Classification and Development of Tool for Heart Diseases (MRI Images) Using Machine. Accepted in PDGC 2016 and included in IEEE Xplore Proceedings. DOI:10.1109/PDGC.2016.7913149
  23. Chauhan D, Jaiswal V*: Comparative Study Review on Lung Cancer Detection Using Optimization and Clustering Approach. International Journal of Computer Science and Information Security special issue: ICETCSE 2016 vol 14. Paper 62 (pp. 238-243)
  24. Anjali Negi, Varun Jaiswal*: A Review on Current Advances in Machine Learning Based Diabetes Prediction Artificial. Intelligence Review Under review (Impact Factor: 1.7)
  25. Afroze Mohammad Alam, Varun Jaiswal, Sohail Akhter, Jayshree B.S: Isolation of isoflavones from Iris kashmiriana, as potential anti proliferative agents targeting NF-KappaB. Phytochemistry. (PMID: 28108024) (Impact Factor: 2.77).
  26. Chauhan D, Jaiswal V*: Development of Computational Tool for Lung Cancer Prediction Using Data Mining. International Journal of Computer Applications Technology and Research. Volume 5– Issue 7, 417-421, 2016, ISSN:- 2319–8656
  27. Neha Gupta, Varun Jaiswal* Study of all obesity genes on transcriptome of Alzheimer disease: A perspective to understand Alzheimer and design therapeutic strategy Genomics (Under Revision).
  28. Gaurav Gupta, Neha Gupta, Ankit Gupta, Pankaj Vaidya, and Varun Jaiswal: Prediction of Alzheimer Associated Proteins (PAAP): A perspective to understand Alzheimer Disease for Therapeutic Design. Communicate in Bioinformatics.
  29. Sethi, K., Ansari M.D., Jaiswal, V* “Machine learning based support system for students to select stream (subject)” Recent Patent on Computer Science.(In Press).
  30. Sethi, K., Gupta, A., Gupta, G., Jaiswal, V*., “Machine Learning Based Performance Evaluation System Based On Multi-Categorial Factors” IEEE, Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC) 2018.
  31. Gaurav Gupta, Ankit Gupta, Varun Jaiswal* et al.,  A Review and Analysis of Mobile Health  Applications for Alzheimer Patients and Caregivers, IEEE, Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC) 2018.
  32. Pankaj Vaidya, Ankit Gupta, Varun Jaiswal*, Machine Learning Based Prediction of Anatomical Therapeutic Chemical (ATC) class of drug like molecule, IEEE, Recent innovation in Electrical Electronics & Communication Engineering (ICRIEECE-2018).
  33. Huma Khan1, Azhar Khan, Varun Jaiswal et al., Potential Angiotensin Converting Enzyme Inhibitors from Moringa oleifera, Recent patent in biotechmology, PMID: 30747089 (Accepted)

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