Dr. Sundaramurthy Pandurangan
Qualification : Ph.D. (IIT, Roorkee)
Designation : Professor of Practice
Details of Educational Qualification:
| Course | Specialization | Group | College Name/University | Year of Passing |
|---|---|---|---|---|
| Ph.D. | Mathematics | Mathematics | Indian Institute of Technology, Roorkee | 2009 |
| M.Sc. | Mathematics | M.Sc. | Sacred Heart College, University of Madras | 1995 |
| B.Sc. | Mathematics | B.Sc. | MazharulUloom College, University of Madras | 1993 |
List of Publications
| S.No | Title of the Paper | Full Details of Journal Name / Conference Name, Volume number, page number, Date |
|---|---|---|
| 1 | Neural network based prediction of less side effect causing cancer drug targets in the network of MAPK pathways. | International Journal of Bioinformatics Research and Applications. 17(1): 69 – 79, 2021 |
| 2 | Protein Domain Level Cancer Drug Targets in the Network of MAPK pathways | IEEE / ACM Transactions on Computational Biology and Bioinformatics, 16(6):2057 - 2065, 2019. |
| 3 | Topological alternate centrality measure capturing drug targets in the network of MAPK pathways. | IET Systems Biology12(5):226-232, 2018. |
| 4 | Cancer drug target identification and node level analysis of the network of MAPK pathways. | Network Modeling Analysis in Health Informatics and Bioinformatics, 7:4, 2018. |
| 5 | Hub nodes in the network of human Mitogen-Activated Protein Kinase (MAPK) pathways: Characteristics and potential as drug targets. | Informatics in Medicine Unlocked9, 173 – 180, 2017. |
| 6 | Identification of cluster of proteins in the network of MAPK pathways as cancer drug targets. | Informatics in Medicine Unlocked9, 86 – 92, 2017. |
| 7 | An Improved Hypergeometric Probability Method for Identification of Functionally Linked Proteins using Phylogenetic Profiles. | Bioinformation,9(7): 368-374, 2013. |
| 8 | HORIBALFRE program: Higher Order Residue Interactions Based ALgorithm for Fold REcognition. | Bioinformation7(7): 352-359, 2011. |
| 9 | A bioinformatics protocol for the identification of spatial clusters and the calculation of higher order residue interactions in protein structures. | Protocol Exchange (2010) http://www.nature.com/protocolexchange/protocols/655 |
| 10 | HORI: Higher Order Residue Interactions, a web server to compute possible interactions in a protein structure. | BMC Bioinformatics, 11(Suppl 1):S24, 2010. |
| 11 | Dynamic modeling and simulation of JNK, and P38 kinase cascades with feedbacks and cross – talks. | IEEE Trans.Nanobioscience, 9(4):225-31, 2010. |
| 12 | Systems Biology: To Meet Challenges for Biology in the Twenty-first Century | Research in Biotechnology, 1: 01 – 05, 2010 (Review) |
| 13 | Lose and gain: Impacts of ERK5 and JNK cascades on each other | Systems and Synthetic Biology, 4(2), 125-132, 2010 |
| 14 | Analysis of ERK5, JNK, and P38 kinase cascades:A systems approach | Bioinformation,3(6),250–254, 2009. |
| 15 | Computational prediction and analysis of impact of the cross talks between JNK and P38 kinase signaling pathways | Bioinformation, 3(6), 244 – 249, 2009. |