Dr. K.R.Dasegowda Assistant Professor

Specialization

Bioinformatics, Computational drug design and Biomaterial, Biochemistry

Areas Of Interest

Drug design, Biomaterial, Agro nanomaterials, Omics technologies, Protein engineering

Qualification

M.Sc., PGDBI, PhD Biotechnology

Teaching Experience

22 years

Awards & Recognition

• Jury Member for Stage-2 of ELEVATE 2025 (Idea2PoC Grant-in-Aid Scheme) under the Karnataka Startup Policy 2022–2027, organized by the Department of Electronics, IT & Bt, Government of Karnataka.
• Editor for the 7 th international conference on tropical resources and sustainable sciences (ctress 7.0) proceedings 2025
• Invited speaker at International Webinar Conference on "Impact of Natural Bioactive Compounds for the Treatment of COVID-19: Diagnostic Challenges and Futuristic Perspectives" held on 30th and 31st May 2020 organized by Hericure Healthcare, Pune and University of KwaZulu- Natal, Durban (South Africa).
• Long Service award: 14 years of service at New Horizon College of Engineering, September 2018.
• Invited guest talk in National Workshop on Bioinformatics: An Interface between Biology and computer Science organized by Dept of Biotechnology, Tumkur University and UGC during 28th and 29th March 2016. Student project guided on Biomaterials won 2nd prize in ABVP-SRISHTI 2015.
• Invited guest talk in two day seminar cum workshop on computational Biology Applications organized by Maharani Lakshmi Ammanni College for Women, Bangalore during February 15, 2014.
• Invited guest talk at National Workshop on “Bioinformatics Techniques in Drug Designing” at St. Joseph’s Post Graduate Centre, St. Joseph’s College, Bangalore in the year-2012
• Best faculty award from New Horizon College of Engineering in the field of Biotechnology in the year-2008.

Orcid ID

https://orcid.org/0000-0002-1424-8109

Vidwan ID/Profile URL

https://vidwan.inflibnet.ac.in/profile/231365

Scopus ID/Google Scholar ID

https://scholar.google.com/citations?hl=en&user=srCohlsAAAAJ

Funded Project (amount sanctioned)

• KSCST, 10000 INR (Completed), unnatha bharat abhiyan 100000 INR(completed)

Publications In Refereed Journals

Total publications: 10

Total citations: 12

h-index: 3

Key Publications (Only Q1 & Q2 rated):

• Rambabu, M., Gowda, M. N., Selvam, P. K., Vasudevan, K., & Dasegowda, K. R. (2024). Transcriptomic insights into skin cancer: A bioinformatics and network biology approach to biomarker identification. Journal of King Saud University – Science, 36(11), 103510.
• Sunila, B. G., Dhanushkumar, T., Dasegowda, K. R., Vasudevan, K., & Rambabu, M. (2024). Unraveling the molecular landscape of Ataxia Telangiectasia: Insights into neuroinflammation, immune dysfunction, and potential therapeutic targets. Neuroscience Letters, 828, 137764.
• Kishore, D. S., Prasantha, C. N., Rambabu, M., Vasudevan, K., & Dasegowda, K. R. (2024). Microbial abundance estimation and metagenomic studies of Holcomb Creosote Superfund site soil sample. bioRxiv. https://doi.org/10.1101/2024.03.19.585654
• Dhanushkumar, T., Santhosh, M. E., Selvam, P. K., Rambabu, M., & others. (2024). Advancements and hurdles in the development of a vaccine for triple-negative breast cancer: A comprehensive review of multi-omics and immunomics strategies. Life Sciences, 337, 122360.
• Rambabu, M., Konageni, N., Vasudevan, K., Dasegowda, K. R., & Gokul, A. (2023). Identification of key biomarkers and associated pathways of pancreatic cancer using integrated transcriptomic and gene network analysis. Saudi Journal of Biological Sciences, 30(11), 103819.
• Kant, R., Saini, K. K., Upadhyay, R. K., Singh, Y., Reddy, Y. V. M., Singh, S. P., Dasegowda, K. R., & others. (2023). Design, synthesis, in silico screening, and antiproliferative activity of novel 1,2,3-triazole tethered dibenzosuberane conjugates. Biotechnology and Bioprocess Engineering, 28(5), 761–773.
• Dhanushkumar, T., Kamaraj, B., Vasudevan, K., Gopikrishnan, M., & Dasegowda, K. R. (2023). Structural immunoinformatics approach for rational design of a multi-epitope vaccine against triple-negative breast cancer. International Journal of Biological Macromolecules, 243, 125209.
• Dey, H., Vasudevan, K., Dasegowda, K. R., Rambabu, M., & Cn, P. (2022). An integrated gene network analysis to decode the multi-drug resistance mechanism in Klebsiella pneumoniae. Microbial Pathogenesis, 173, 105878.
• Prabhavathi, H., Dasegowda, K. R., Renukananda, K. H., Karunakar, P., & others. (2022). Molecular docking and dynamic simulation to identify potential phytocompound inhibitors for EGFR and HER2 as anti-breast cancer agents. Journal of Biomolecular Structure and Dynamics, 40(10), 4713–4724.
• Prabhavathi, H., Dasegowda, K. R., Renukananda, K. H., Lingaraju, K., & others. (2021). Exploration and evaluation of bioactive phytocompounds against BRCA proteins by in silico approach. Journal of Biomolecular Structure and Dynamics, 39(15), 5471–5485.
• Mopuri, R., Pulaganti, M., Kareem, M. A., Islam, M. S., Dasegowda, K. R., & Irene, M. (2017). Molecular assessment of protective effect of Vitex negundo in ISO-induced myocardial infarction in rats. Biomedicine & Pharmacotherapy, 92, 249–253.
• Dasegowda, K. R., Maruthi, P. E., Rahmathulla, M. D. S. B., & Devi, K. L. (2016). Protective effect of Fagonia arabica against isoproterenol-induced myocardial infarction in albino rat model.
• Dasegowda, K. R., Nadigar, S., Banu, R., Lakshmi, S., & Nithin, —. (2014). Docking studies using MEF2A and myeloperoxidase as target proteins for myocardial infarction. International Journal of Advanced Research in Engineering and Technology.
• Dasegowda, K. R., Nadigar, S., Banu, R., & Tripati, M. (2014). Alzheimer’s disease and its potential drug targets: A review. International Journal of Advanced Research in Engineering and Technology.

Other Publications:

• Chandan, S., Bhargavi, C. P., Bhavana, S., Dasegowda, K. R., & others. (2025). Integrating computational biology and multiomics data for precision medicine in personalized cancer treatment. In Deep Learning in Genetics and Genomics (pp. 249–277).
• Kottarath, N., Hari, M., Dasegowda, K. R., Prabhavathi, H., Haldar, A., & others. (2025). Deep learning for network building and analysis of biological networks: A case study. In Deep Learning in Genetics and Genomics (pp. 385–398).
• Rai, T., Saji, A., Bisa, S., Vasudevan, K., Rambabu, M., & Dasegowda, K. R. (2025). Deep learning insights into transcriptomics and gene expression patterns analysis. In Deep Learning in Genetics and Genomics (pp. 47–59).
• Dasegowda, K. R., Radhakrishnan, A., Rambabu, M., Peri, S., Vasudevan, K., & others. (2024). Naturinspiriertes Computing: Anwendungsbereich und Anwendungen von künstlichen Immunsystemen zur Analyse und Diagnose komplexer Probleme. In Von der Natur inspirierte intelligente Datenverarbeitungstechniken in der Bioinformatik.
• Dasegowda, K. R., Kavyasree, M. Y., Prabhavathi, H., Rambabu, M., & others. (2024). Applications of artificial intelligence, machine learning, and deep learning in diagnosis and treatment of rheumatoid arthritis. In Artificial Intelligence and Autoimmune Diseases: Applications in the Diagnosis and Therapy of Autoimmune Disorders.

UG / PG Projects

10