Faculty of Alliance College and Engineering Design

Dr. Sundaramurthy Pandurangan

Professor


sundaramurthy.pandurangan@alliance.edu.in

Dr. Pandurangan is a mathematician and has completed his doctorate from the Indian Institute of Technology, Roorkee. His interest area includes application of artificial intelligence techniques in data analytics. Prior to his current position, he served as a molecular biomarker data specialist at PointCross.com Pvt. Ltd., a company which develops software products for the clinical research industry. At PointCross, he has contributed to the design and development of a software product "Xbiom Insights" which has been used to integrate, search and analyze pre-clinical, clinical and molecular biomarker data.

During his tenure as the Professor of Mathematics at the VIT University, Dr. Pandurangan mentored a research student who submitted his Ph.D. thesis on network based drug target identification with cancer perspective. Dr. Pandurangan has conducted his postdoctoral research in computational cancer genomics at the Cold Spring Harbor Laboratory, New York and worked on the detection and characterization of human structural variants. In addition, he has designed and spearheaded the development of a webserver “HORI”, and an algorithm “HORIBALFRE” to solve the grand challenging problem (protein structure prediction) in bioinformatics. Dr. Pandurangan initiated computational systems biology research at IIT Roorkee and has been the first researcher in India to have submitted a Ph.D. thesis on systems biology of signaling networks.

Prior to his research endeavors, Dr. Pandurangan acquired ample experience in the field of teaching where he has taught statistical methods, machine learning algorithms, operations research, numerical methods, graph theory and engineering mathematics for engineering students.

 

SOFTWARE PRODUCTS DEVELOPED

 

RESEARCH PAPER PUBLICATIONS

  • MD Aksam V.K, Chandrasekaran V.M., and Sundaramurthy Pandurangan, 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. (Accepted)
     
  • MD Aksam V.K, Chandrasekaran V.M., and Sundaramurthy Pandurangan Tological alternate centrality measure capturing drug targets in the network of MAPK pathways IET Systems Biology. (Accepted)
     
  • MD Aksam V.K., V.M. Chandrasekaran, and Sundaramurthy Pandurangan , Protein Domain Level Cancer Drug Targets in the Network of MAPK pathways, IEEE / ACM Transactions on Computational Biology and Bioinformatics. (Accepted)
     
  • V.K. MD Aksam, V.M. Chandrasekaran, and Sundaramurthy Pandurangan , Cancer drug target identification and node level analysis of the network of MAPK pathways. Network Modeling Analysis in Health Informatics and Bioinformatics (2018) 7: 4.
     
  • V.K. MD Aksam, V.M. Chandrasekaran, Sundaramurthy Pandurangan, Hub nodes in the network of human Mitogen-Activated Protein Kinase (MAPK) pathways: Characteristics and potential as drug targets. Informatics in Medicine Unlocked 9 (2017) 173 – 180.
     
  • V.K. MD Aksam, V.M. Chandrasekaran, Sundaramurthy Pandurangan, Identification of cluster of proteins in the network of MAPK pathways as cancer drug targets. Informatics in Medicine Unlocked 9 (2017) 86 – 92.
     
  • Appala Raju Kotaru, Khader Shameer, Pandurangan Sundaramurthy, Ramesh Chandra Joshi, An Improved Hypergeometric Probability Method for Identification of Functionally Linked Proteins using Phylogenetic Profiles. Bioinformation 9(7): 368-374, 2013.
     
  • Sundaramurthy Pandurangan, Sunita Gakkhar. Impacts of Feedback Mechanism in JNK Cascade. 1st IEEE International Conference on Computational Advances in Bio and medical Sciences (ICCABS), Feb. 3 - 5, 2011. (Accepted)
     
  • Pandurangan Sundaramurthy, Raashi Srinivasan, Khader Shameer, Sunita Gakkhar, Ramanathan Sowdhamini. HORIBALFRE program: Higher Order Residue Interactions Based Algorithm for Fold Recognition. Bioinformation 7(7): 352-359, 2011.
     
  • Sundaramurthy Pandurangan, Shameer Khader, Raashi Srinivasan, Sunita Gakkhar, Sowdhamini Ramanathan. 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
     
  • Pandurangan Sundaramurthy, Khader Shameer, Raashi Srinivasan,  Sunita Gakkhar, Ramanathan Sowdhamini. HORI: Higher Order Residue Interactions, a web server to compute possible interactions in a protein structure. BMC Bioinformatics, 11(Suppl 1):S24, 2010.
     
  • Sundaramurthy P, Gakkhar S. Dynamic modeling and simulation of JNK, and P38 kinase cascades with feedbacks and cross – talks. IEEE Trans. Nanobioscience, 9(4):225-31, 2010.
     
  • Sundaramurthy Pandurangan, Sunita Gakkhar. Systems Biology: To Meet Challenges for Biology in the Twenty-first Century, Research in Biotechnology, 1: 01 – 05, 2010 (Review)
     
  • Sundaramurthy Pandurangan, Sunita Gakkhar. Lose and gain: Impacts of ERK5 and JNK cascades on each other. Systems and Synthetic Biology, 4(2), 125-132, 2010
     
  • Pandurangan Sundaramurthy,Sunita Gakkhar, Ramanathan Sowdhamini. Analysis of ERK5, JNK, and P38 kinase cascades: A systems approach, Bioinformation, 3(6), 250–254, 2009.
     
  • Pandurangan Sundaramurthy, Sunita Gakkhar, Ramanathan Sowdhamini. Computational prediction and analysis of impact of the cross talks between JNK and P38 kinase signaling pathways. Bioinformation, 3(6), 244 – 249, 2009.

 

POSTER / ORAL PRESENTATIONS

  1. Neural network based prediction of less side effects causing cancer drug targets in the network of MAPK pathways, 7–9 Nov. 2017, Inbix'17: Indian Conference on Bioinformatics 2017, Birla Institute of Scientific Research, Jaipur.
     
  2. Identification of cluster of proteins in the network of MAPK pathways as cancer drug targets, 28- 30, Nov. 2016, International Conference on Advances in Scientific Computing (ICASC 2016), Indian Institute of Technology Madras.
     
  3. Characterization and implications of targeting hub nodes in the network of MAPK pathways, 23 - 26, Nov. 2015, International Conference on Systems Biology 2015 (ICSB2015), Singapore.
     
  4. HORIBALFRE: Higher Order Residue Interactions Based Algorithm for Fold Recognition. Feb. 3-5, 2011, 1stIEEE International Conference on Computational Advances in Bio and medical Sciences (ICCABS), Florida.
     
  5. HORI: a web server to compute Higher Order Residue Interactions in protein structures, 18 – 21 Jan. 2010, The Eighth Asia Pacific Bioinformatics Conference (APBC 2010), Bangalore.
     
  6. Prediction and Analysis of the Dynamical Behaviors of ERK5, JNK and P38 Kinase Cascades, 07 Nov. 2009, Ph.D. thesis viva presentation, Department of Mathematics, Indian Institute of Technology, Roorkee.
     
  7. Bioinformatics – A Multidisciplinary Applied Science, 21-27 Nov. 2005, Research Level Group Discussion on Natural Computing, Indian Institute of Technology Madras.
     
  8. Structure Based Drug Design – Highly Challenging and Rewarding, 21-27 Nov. 2005, Research Level Group Discussion on Natural Computing, Indian Institute of Technology Madras.
     
  9. Structure Based Strategies for Drug Design, 08 June 2005, Comprehensive Oral Presentation, Department of Mathematics, Indian Institute of Technology, Roorkee.

 

INVITED TALKS

  1. Quantitative Analysis of Interactions among the Kinase Cascades in MAPK Pathways. 04th November 2016, Department of Life Sciences, Central University of Tamil Nadu, Thiruvarur.
     
  2. 21st Century Biology: Omics, Systems and Networks. 16th March 2016, National Conference on “Current Scenario in Biotechnology”, Department of Biotechnology, Kumaraguru College of Technology, Coimbatore.
     
  3. Dynamical behaviors of cancer signaling networks. 14 September 2013, Department of Mathematics, Sacred Heart College, Tirupattur.
     
  4. Linear Program for a grand challenging problem in bioinformatics. 2-5 July 2012, FDP on Probability and Statistics for Engineers, School of Advanced Sciences, VIT University, Vellore Campus.
     
  5. Systems Biology of Signaling Networks. 18 October 2011, School of Biotechnology, Madurai Kamaraj University.
     
  6. Mathematics for grand challenging problems in biology. 5-7 July 2011, FDP on Mathematics and Statistics for Biologists, School of Bio Sciences and Technology, VIT University, Vellore Campus.
     
  7. Is it right to correlate a signaling pathway to cancer? 1 July 2011, School of Bio Sciences and Technology, VIT University, Vellore Campus.
     
  8. Network Based Drug Discovery 14 – 15 May 2011, National Level Seminar on Current Trends and Advanced Analytical Procedures in Pharma Industry. The Oxford College of Pharmacy, Bangalore.
     
  9. Mathematical Flavor on Bioinformatics – I & II, 07 – 14 July 2010, Instructional Workshop on Mathematical Modeling and Simulation, National Center for Advanced Research in Discrete Mathematics (n-CARMATH), Kalasalingam University, Krishnankoil.
     
  10. On the Dynamic Pathway Modeling and its Applications, 12 -13 March 2009, National Conference on Applications of Mathematics in Science and Technology, Sacred Heart College, Tirupattur.
     
  11. Bioinformatics: Who and What Can Do? 17 Sep. 2007, KCG College of Technology, Chennai.
     
  12. Bioinformatics: Opportunities and Challenges, 06 April 2006, Rajalakshmi Engineering College, Chennai.

 

SYMPOSIUMS / WORKSHOPS / CONFERENCES / SEMINORS / EVENTS ATTENDED

  1. New Frontiers in Deep Learning (Meetup), Sapient India, 26th May 2018, Bangalore
     

  2. Artificial Intelligence Bootcamp, Great Learning, 7 – 8th April 2018, Bangalore.
     

  3. Powering the Future with Analytics, Accenture’s Analytics Forum, 22nd July 2017, Bangalore
     

  4. Data Platform Day, Microsoft, 18th March 2017, Bangalore.
     

  5. Artificial Intelligence Seminar, Intel® Software, 9th Dec. 2016, Bangalore.
     

  6. Computational Cell Biology, March 28 – April 1, 2011. Cold Spring Harbor Laboratory, New York.
     

  7. Systems Biology: Networks, March 22-26, 2011.Cold Spring Harbor Laboratory, New York.
     

  8. Advances in Genome Biology and Technology (AGBT), February 2-5, 2011. Marco Island, Florida.
     

  9. Grant Writing Workshop, 09 – 10 Dec. 2010 Cold Spring Harbor Laboratory, New York.
     

  10. Personal Genomes, 10 – 12 Sep. 2010, Cold Spring Harbor Laboratory, New York.
     

  11. International Symposium on Interface between Chemistry and Biology (CHEMBIO), 17-18 Feb. 2009, Indian Institute of Science, Bangalore and 19 Feb. 2009, National Center for Biological Sciences, Tata Institute of Fundamental Research, Bangalore.
     

  12. Third Indo – French Bioinformatics Meeting (IFBM), 12-14 June 2006. National Center for Biological Sciences, Tata Institute of Fundamental Research, Bangalore.
     

  13. 71ST Annual Conference of Indian Mathematical Society (IMS), 26-29 Dec. 2005, Department of Mathematics, Indian Institute of Technology Roorkee.
     

  14. Machine Learning Techniques in Functional Proteomics, 18-21 Oct. 2005, Institute of Microbial Technology, Chandigarh.
     

  15. Symposium on Current Trends in Biomathematics, 11-13 March 2005. Department of Mathematics, Indian Institute of Technology Roorkee.
     

  16. Drug Discovery and Development in New Millennium -2 (D3NM – 2), Feb 28 – March 03 2005, National Institute of Pharmaceutical Education and Research, Chandigarh.