Atal Bihari Vajpayee Institute of Good Governance and Policy Analysis

(A registered body of Government of Madhya Pradesh under Public Service Management Department)

(A registered body of Government of Madhya Pradesh under Public Service Management Department)
cmypdp Atmanirbhar

Who's Who

Dr Sunil Kumar Suryawanshi

Name




Advisors



email: sunil.suryawanshi11@mp.gov.in



Dr. Sunil Kumar Suryawanshi is public policy expert in the area of Bioeconomy and currently serving as an Advisor and Nodal Officer, Excellence in Bioeconomy - Cell (EIBC) under the Centre of Human Resource and Technology. He holds a Doctor of Philosophy (Ph.D.) in Bioinformatics and a Master of Technology (M.Tech.) in Bioinformatics from MANIT, Bhopal. Additionally, he earned a Master of Science (M.Sc.) in Life Sciences from the School of Life Sciences, Devi Ahilya Vishwavidyalaya (DAVV), Indore.



Dr. Suryawanshi has more than thirteen years of teaching and research experience across government and private institutions. He has also qualified the CSIR-UGC NET for Lectureship in Life Sciences. During his academic journey, he received the Teaching Assistance Fellowship (2013–2018) during his Ph.D. tenure and the MHRD-GATE Fellowship (2008–2010) during his M.Tech. program. His research contributions include international publications in the field of Bioinformatics, reflecting his expertise and commitment to advancing the discipline.



Publication



1.      An in-silico approach for prediction of B cell and T cell epitope candidates against Chikungunya virus



         A Venkatesan, U Chouhan, SK Suryawanshi, JK Choudhari, Immunological Medicine 46 (4), 163-174, 2023



2.      Insilico Anticancer Peptide Prediction from Curcuma longa



         SK Suryawanshi, U Chouhan, JK Choudhari, Molecular & Cellular Biomechanics 19 ((4)), 191-208, 2022



3.      Computational approaches for the prediction of antimicrobial potential peptides from Ocimum tenuiflorum,



         SK Suryawanshi, U Chouhan, Asian J. Pharm. Clin. Res 11, 398-401, 2018



4.      Machine learning approaches to study HIV/AIDS infection: A Review



         S Kumari, U Chouhan, SK Suryawanshi, Biosci. Biotech. Res. Comm 10 (1), 34-43, 2017



5.      Application of bioinformatics in the prediction and identification of potential antimicrobial peptides from Curcuma longa



         SK Suryawanshi, U Chouhan, Biosci. Biotech. Res. Comm 9 (2), 220-228, 2016



6.      Trehalose Biosynthesis in Cyanobacterium Anabaena PCC 7120 Under Salt Stress



         SK Suryawanshi, Bonnie Foi Research Journal 1 (1), 18-30, 2011



7.      Amino Acid Composition based SVM model for Predicting Proteins of Asthma in Rattus norvegicus,



         SK Suryawanshi, B Pant, KR Pardasani, Bonnie Foi Research Journal 1 (1), 31-37, 2011



































 















































































 































































































































































































 































































































































































































































































































































































































































































































































































































Back