Screen Reader Access   

People : Scientific : Faculty & Scientists


Assistant Professor
+91-129-2876479  (+91-129-2876375)
samrat.chatterjee [at] thsti [dot] res [dot] in
BSc. Calcutta University (2001)
MSc. Jadavpur University (2003)
PhD. Indian Statistical Institute (2008)

Research Statement

Through mathematical modelling and data analysis, my research work is dedicated to understand biological problems. I use small conceptual models as well as large scale models to understand relation between processes (variables) and the factors (parameters) driving those processes. I build different mathematical models using different kinds of differential equations like ordinary differential equations (ODEs), delay differential equations (DDEs) and stochastic differential equations (SDEs). To analyze those models I use different mathematical tools from linear algebra, classical algebra and differential equations with computer simulation (numerical analysis) using softwares like Matlab, Maple, SPlus and XPP-AUTO. I also have experience of handling large volumes of high-throughput data (from micro-array and mass-spectrometer experiments). To analyze those large volume data, I use systems biology techniques (like network analysis) using softwares like cytoscape, Simca and other online packages like KEGG pathway, PANTHER and STRING data set. I am also developing tools (using Matlab with my own algorithm) that can be used to handle large volume of high-throughput data and to estimate parameters for the proposed model.

In terms of large scal data analysis, one of our major research thrust is to build dynamical network to capture disease progression trajectories and to identify disease state specific regulatory nodes. In another direction, we used genome scale metabolic models to identify choke points responsible for causing disease state and use this information for restoration to normal state. The tools for such studies includes differential equation, graph theory, dynamical theorem like chaos theory, numerical analysis and tools from physics like percolation and statistical modeling that includes machine learning. In terms of small scale model, we are focusing in two areas. First area focused in biulding ODE based models to understand the host-pathogen interaction in presence of M.tb. We are looking at how pathogen is manipulating host machinary for its survival and then using models we are hypothesing on possible rstoration mechanisms. In the second area we are exploring the role of calcium signalling in maintaining normal function of cardiomyocytes. We are looking at possible restoration meachism for normal cardiac functioning in disease conditions like diabetes causing calcium overloading etc.


Journal editorial board member:

  • The Scientific World Journal.

Journal referee

  • Journal of theoretical biology” by Elsevier.
  • Nonlinear Analysis series B: Real world application” by Elsevier.
  • Ecological Complexity” by Elsevier.
  • "Mathematical Methods in the Applied Science" by John Wiley and sons.
  • Frontiers of Environmental Science & Engineering in China” by Springer.
  • Ecological Modelling”by Elsevier.
  • International Journal of Biomathematics” by worldscientific.
  • Journal of Biological systems” by worldscientific.
  • Nonlinear studies: The international journal”.
  • Journal of medical plants research” by Academic journals.
  • “Bulletin of Calcutta Mathematical Society” by CMS.
  • “EURASIP Journal on Bioinformatics and Systems Biology” by springer open journal.
  • “Mathematics and computers in simulation” by Elsevier.
  • International Journal of Bifurcation and Chaos” by worldscientific.
  • “Nonlinear Analysis: Modelling and Control” by Lithuanian Association of Nonlinear Analysts (LANA).
  • "Advances in Difference equations" by Springer.
  • "Ain Shams Engineering Journal" by Elsevier.


Academic Society member:

  • American Mathematical Society (Affiliated member).
  • Biomathematical society of India (member).

Review assignments as faculty

  • Associate faculty member in F1000
  • Reviewer in ‘Mathematical Reviews’ published by the American Mathematical society, (Reviewer Code: 59077)



50. Das, P., Kumar, A., Bairagi, N., and Chatterjee, S., Restoring calcium homeostasis in diabetic cardiomyocytes: An investigation through mathematical modeling. Molecular Biosystems (vol. 13), pp. 2056-2068, (2017).*corresponding author

49. Gupta, N., Duggal, S., Jailkhani, N., Chatterjee, S., Rao, K. V., & Kumar, A. Dataset to delineate changes in association between Akt1 and its interacting partners as a function of active state of Akt1 protein. Data in Brief (vol. 13)pp.187. (2017).

48. Das, P. N., Mehrotra, P., Mishra, A., Bairagi, N., Chatterjee, S., Calcium dynamics in cardiac excitatory and non-excitatory cells and the role of gap junction. Mathematical Biosciences, (vol. 289), pp. 51-68, (2017).*corresponding author  

47. Anand, R., Chatterjee, S., Tracking disease progression by searching paths in a temporal network of biological processes. Plos One (12(4)): e0176172, *corresponding author

46. Anand, R., Chatterjee, S., Extracting genes involved in disease from a connected network of perturbed biological processes. Journal of Computational Biology (Vol. 24(5)), pp. 460-469,, (2017). *corresponding author

45. Mehrotra, P., Rao, K., Chatterjee, S., A mathematical model predicting host mitochondrial pyruvate transporter activity to be critical regulator ofMycobacterium tuberculosis pathogenicity. Biosystems (vol. 155), pp. 1-9, (2017).*corresponding author


2016 (Total 4):

44. Anand, R., Ravichandran, S., Chatterjee, S., A new method of finding groups of coexpressed genes and condition of coexpression. BMC Bioinformatics (17:486) (2016). DOI 10.1186/s12859-016-1356-3. *corresponding author

43. Das, P. N.,Pedruzzi, G., Bairagi, N., Chatterjee, S., Coupling calcium dynamics and mitochondrial bioenergetic: an in silico study to simulate cardiomyocyte dysfunction. Molecular Biosystems (vol. 12), pp. 806-817, (2016).*corresponding author

42. Pedruzzi, G., Das, P. N., Rao, K., Chatterjee, S., Understanding PGE2, LXA4 and LTB4 balance during Mycobacterium tuberculosis infection through mathematical model. Journal of Theoretical Biology (Vol. 389), pp.159-170, (2016). *corresponding author

41. Chatterjee, S., Pessani, D., Venturino, E., Harvesting strategies for ``bianchetti" and ``blue fish" in the Ligurian Sea (North Mediterranean). Appl. Math. Inf. Sci., 10, No. 3,pp.1-14, (2016).


2015(Total 3):

40. Singh, V., Kaur, C., Chaudhary, VK., Rao, K., Chatterjee, S., M. tuberculosisSecretory Protein ESAT-6 Induces Metabolic Flux Perturbations to Drive Foamy Macrophage Differentiation. Scientific Reports. 5, 12906; doi: 10.1038/ srep12906 (2015). *corresponding author

39. Pedruzzi, G., Rao, K., Chatterjee, S., Mathematical model of mycobacterium-host interaction describes physiology of persistence. Journal of Theoretical Biology (Vol. 376), pp.105-117, (2015). *corresponding author

38. Biswas, S., Chatterjee, S., Chattopadhyay, J., Cannibalism may control disease in predator population: Result drawn from a model based study. Mathematical methods in the Applied Sciences(Vol 38), pp. 2272-2290 (2015).


2014 (Total 2):

37. Sinha, N., Negi, S., Tikoo, K., Sharma, S., Tripathi, P., Kumar, D., Rao, K V S., Chatterjee, S., Molecular signatures for obesity and associated disorders identified through partial least square regression models.BMC System Biology (2014). 8:104. *corresponding author

36. Mehrotra, P., Jamwal, S., Saquib, N, Md., Sinha, N., Siddiqui, Z., Manivel, V., Chatterjee, S., and Rao, K, V S., Pathogenicity of Mycobacterium tuberculosis is expressed by regulating metabolic thresholds of the host macrophage. PLOS Pathogens.(2014). 10 (7): e1004265. doi:10.1371/journal.ppat.1004265


2013: (Total 3)

35. Bhattacharya, S., Chatterjee, S., Biswas, B., Roy, P., Guerekata, G., Chattopadhyay, J., A handling tool to estimate upper bounds of environmental fluctuations.Applicable analysis. (2013) DOI: 10.1080/00036811.2013.851786.

34. Kapil, C., Hussain, T., Jairajpuri, M, A., Yogavel, M., Chatterjee, S., Sharma, A., Systematic analysis of proteomes with emphasis oninsertions in malaria parasite Plasmodium falciparum. Protein & Peptide Letters(Vol. 20), pp.1088-1097, (2013).

33. Chattopadhyay, J., Chatterjee, S., Venturino, E. Aggregation of toxin producing phytoplankton acts as a defense mechanism- a model based study.Mathematical and Computer Modelling of Dynamical System(Vol. 19), pp.159-174, (2013). *corresponding author


2012: (Total 3)

32. Midha, Mukul., Tikoo, K., Sinha, N., Negi, S., Verma, H N., Rao, K V S., Chatterjee, S., Manivel, V., Extracting time dependent obese-diabetic specific networks in hepatic proteome analysis.Journal of Proteome Research (Vol. 11), pp. 6030-6043, (2012). *co-corresponding author

31. Chatterjee, S.,Coupling effect of grazing pressure and nutrient enrichment on system stability. Mathematical Biosciences (Vol. 238), pp.1-11, (2012). *single author

30. Chatterjee, S., Kesh, D., Bairagi, N., How population dynamics change in presence of migratory prey and predator's preference?Ecological Complexity, (Vol. 11),pp- 53-66(2012).


2011: (Total 4)

29. Chatterjee, S., Kumar, D.,Unraveling the Design Principle for Motif Organization in Signaling Networks. PLos One 6(12): e28606. Doi: 10.1371/ journal. pone. 0028606 (2011).

28. Bhattacharya, S., Chatterjee, S., Chattopadhyay, J., Basu, A., On stochastic differential equations and equilibrium distribution: A conditional moment approach. Environmental and Ecological Statistics (vol. 18 (4)), pp. 687-708, (2011).

27. Chatterjee, A., Pal, S., Chatterjee, S., Bottom-up and top-down effect on toxin producing phytoplankton and its consequence on the formation of the plankton bloom. Appl. Math. Comp. (Vol. 218), pp.3387-3398, (2011).

26. Chatterjee, S., Venturino, E., On predation of symbiotic systems. AIP Conf. Proc., (Vol. 1389), pp. 1240-1243, (2011).


2010: (Total 3)

25. Md. Sarwar Jamal, M, S., Ravichandran, S., Chatterjee, S., Dua, R., Rao, K. V. S., Defining the antigen receptor-dependent regulatory network that induces arrest of cycling immature B-lymphocytes. BMC System Biology, 4:169, (2010).

24. Chatterjee, S., Alternative food source coupled with prey recovery enhance stability between migratory prey and their predator in the presence of disease. Nonlinear Analysis B: Real world application,(Vol. 11(5)), pp. 4415-4430, (2010). *single author

23. Das, K.,Chatterjee, S., Chattopadhyay, J., Occurrence of chaos and its possible control in a predator-prey model with density dependent disease-induced mortality on predator population. Journal of Biological Systems, (Vol. 18(2)), pp.399-435,(2010).


2009: (Total 7)

22. Chatterjee, S., Venturino, E. Shark-Fish interplay at different life stages. Aplimat- Journal of Applied Mathematics (Vol. 2(2)), pp. 177-188, (2009). (Accepted in the APLIMAT proceeding also-- Chatterjee, S., Venturino, E. Shark-Fish interplay at different life stages. Aplimat- 8th- International conference on Applied Mathematics, APLIMAT- 2009, Slovak University of Technology in Bratislava, pp. 567-576).

21. Chatterjee, S., Isaia, M., Venturino, E. Effects of spiders' predational delays in intensive agroecosystems. Nonlinear Analysis: Real world application (Vol. 10), pp. 3045-3058, (2009).

20. Chatterjee, S., Isaia, M., Venturino, E. Spiders as a biological controllers in the Langa Astigiana vineyards. Journal of Theoretical Biology,(Vol. 258), pp. 352-362, (2009). *corresponding author

19. Chatterjee, S., Venturino, E., Chakraborty, S., Chattopadhyay, J., A simple mathematical model for seasonal planktonic blooms. Mathematical Methods in the Applied Sciences, (Vol. 32), pp.1738-1750,(2009).

18. Pal, S.,Chatterjee, S., Das, K., Chattopadhyay, J., Role of competition in phytoplankton population for the occurrence and control of plankton bloom in the presence of environmental fluctuations. Ecological Modelling (Vol. 220), pp. 96-110, (2009).

17. Das, K.,Chatterjee, S., Chattopadhyay, J., Disease in prey population and body size of intermediate predator reduce the prevalence of chaos- conclusion drawn from Hastings-Powell model. Ecological Complexity,(Vol. 6), pp. 363-374, (2009).

16. Chatterjee, S., Kundu, K., Pal, S., Chattopadhyay, J., Venturino, E. Comparing two new ecoepidemic models of the Salton Sea. MATHMOD 2009, the 6th Vienna International Conference on Mathematical Modelling, Vienna, Austria, February 11th – 13th, 2009.


2008: (Total 8)

15. Venturino, E.,Isaia, M., Bona, F., Chatterjee, S., Badino, G. Biological controls of intensive agro-ecosystems: wanderer spiders in the Langa Astigiana. Ecological Complexity, (Vol. 5(2)),pp157-164, (2008).

14. Chatterjee, S., Pal, S.,Chattopadhyay, J. Role of migratory birds under environmental fluctuation- A mathematical study. Journal of Biological Systems, (Vol. 16 (1)), pp. 81-106, (2008). *corresponding author

13. Chattopadhyay, J., Chatterjee, S., Venturino, E. Patchy agglomeration as a transition from monospecies to recurrent plankton blooms. Journal of Theoretical Biology,(Vol. 253), pp. 289-295, (2008).

12. Bandyopadhyay, M., Chatterjee, S., Chakraborty, S., Chattopadhyay, J., Density dependent predator death prevalence chaos in a tri-trophic food chain model. Nonlinear Analysis: Modelling and Control, (Vol. 13), pp. 305-324, (2008).

11. Chatterjee, S., Isaia, M., Bona, F., Badino, G., Venturino, E. Modelling environmental influences on wanderer spiders in the Langhe region (Piemonte-NW Italy). Journal of Numerical Analysis, Industrial and Applied Mathematics (Vol. 3), pp. 193-209, (2008).

10. Bairagi, N., Chatterjee, S., Chattopadhyay, J. Variability in the secretion of CRH, ACTH & Cortisol and understandability of the HPA axis dynamics- a mathematical study based on clinical evidences. Mathematical Medicine and Biology: A journal of IMA, (Vol. 25), pp. 37-63, (2008).

9. Das, K.,Chatterjee, S., Chattopadhyay, J., Dynamics of nutrient-phytoplankton interaction in the presence of viral infection and periodic nutrient input. Math. Model. Nat. Phenom.(Vol. 3 (3)), pp. 149-169,(2008).

8. Chatterjee, S., Venturino, E. The paradox of enrichment in ratio--dependent ecoepidemic models. NUMERICAL ANALYSIS AND APPLIED MATHEMATICS: International Conference on Numerical Analysis and Applied Mathematics 2008, Kos, Greece; AIP Conf. Proc., Vol. 1048(1), pp. 974-977 (2008).


2007: (Total 5)

7. Chakraborty, S., Chatterjee, S., Venturino, E., Chattopadhyay, J. Recurring plankton bloom dynamics modeled via toxin producing phytoplankton. Journal of Biological Physics, (Vol. 33(4)), pp. 271-290, (2007).

6. Chatterjee, S. and Chattopadhyay, J. Role of migratory bird population in a simple eco-epidemiological model. Mathematical and Computer Modelling of Dynamical System. (Vol. 13 (1)), pp. 99-114, (2007).

5. Chatterjee, S., Das, K., Chattopadhyay, J. Time delay factor can be used as a key factor for preventing the outbreak of a disease- results drawn from a mathematical study of a one season eco-epidemiological model. Nonlinear Analysis: Real World application (Vol. 8 (5)), pp. 1472-1493, (2007).

4. Pal, S.,Chatterjee, S., Chattopadhyay, J. Role of toxin and nutrient for the occurrence and termination of plankton bloom - Results drawn from field observations and a mathematical model. Biosystems. (Vol. 90(1)), pp. 87-100, (2007).

3. Chatterjee, S., Kundu, K.,Chattopadhyay, J. Role of horizontal incidence in the occurrence and control of chaos in an eco-epidemiological system. Mathematical Medicine and Biology: A Journal of IMA. (Vol. 24(3)), pp. 301-326, (2007).


2006: (Total 2)

2. Chatterjee, S., Ghosh, A, K., Chattopadhyay, J. Controlling disease in migratory bird population- A probable solution through mathematical study. Dynamical system: An International Journal. (Vol. 21 (3)), pp. 265-288, (2006).

1. Chatterjee, S., Bandyopadhyay,M. Chattopadhyay, J. Proper predation makes the system disease free - Conclusion drawn from an eco-epidemiological model. Journal of Biological Systems. (Vol. 14(4)), pp. 599-616, (2006).


1. Kumar, D., Chatterjee, S., Mathematics and Biology: The Growing Synergy. Math Unlimited: Essays in Mathematics, Ed: H.N. Ramaswamy, R. Sujatha, C.S. Yogananda, published by Science publishers, Taylor and Francis group(2012). *corresponding author

2. Jailkhani, N., Chatterjee, S., Rao, K., Systems Biology: Evolution of a new discipline. Science and culture. (Vol. 78)pp. 100-105(2012).

3. Caccherano,E., Chatterjee S., Giani, L C., Grande, L., Romano, T., Visconti, G., Venturino, E., Models of symbiotic associations in food chains. published by NOVA Science publishers, (In press).

4. Roy, P.K., Mondol, J., Chatterjee, S., Vertical incidence increases virulence in pathogens: A model based study. Electrical Engineering and Applied Computing. Lecture Notes in Electrical Engineering. (Vol. 90)pp. 661-673(2011).

5. Chatterjee, S., Migratory birds and spread of disease- A mathematical model based study, VDM-Verlag (Germany). (ISBN-13:978-3639268256). [full book].

6.  Bairagi, N., Pal, S., Chatterjee, S., Chattopadhyay, J. A qualitative study on nutrient, non-toxic phytoplankton, toxic phytoplankton and zooplankton interaction in open marine system. Aspects of Mathematical Biology, Birkhauser, eds, Hosking, R, J., and Venturino, E.Mathematics and Biosciences in Interactionpp. 41-68, (2008).

1. Diary No.: 52951/2014-CO/SW 
Title: Computer Software for Drug Targeting
Authors: Dr. Samrat Chatterjee | Dr. Rajat Anand
IPR Protection Status: Copyright protection opted [Software Category]
Advantageous Feature(s):Algorithm uses less number of parameters than existing software
Application(s):Software can be used to extract drug targets from biological/Clinical data based on protein-protein interaction
Subscription: THSTI

2. Diary No.: 5662/2017CO/SW
Title: An Artificial Intelligence Algorithm for Predicting Susceptibility to Type 2 Diabetes
Authors: Dr. Samrat Chatterjee, Rajat Anand, Dr. Kanury V.S. Rao, Dr. Ravi Chandra Beeram
IPR Protection Status: Copyright protection opted[Software Category]
Advantageous Feature(s):Predict their future diabetic state with high accuracy
Application(s):Predict susceptibility to Type 2 Diabetes
Subscription: THSTI

3. Indian Patent number: 201711041969
Title of the technology: Method of predict diabetes outcome susceptibility
Inventors: Dr. Samrat Chatterjee , Dr. Kanury Venkata Subba Rao, Dr. Rajat Anand, Mr. Shivam Kumar, Dr. Yashwant Kumar and
Dr. Ravi Chandra Beeram

Field of invention: The present invention relates to the field of biotechnology particularly relates to prediction of type-2 diabetes in the general population. 

Owner(s): THSTI, RPBL

  • "Mathematical approaches to understand host- 
pathogen cross-talk in Mycobacterial pathogenesis". (Granted by SERB, DST) for three years from 2015. (Principal Investigator).
  • "Unravelling the architecture of biological networks to identify points of sensitivity under perturbation". (Granted by DBT) for three years from 2016. (Principal investigator) in collaboration with Indian Statistical Institute.
  • "Use of model trajectories to understand the regulatory mechanisms underlying metabolic diseases". (Granted by CSIR) for three years from 2016. (Principal investigator)
  • "Improving the resolution of protein-protein interaction (PPI) network". (Granted by DBT) for three years from Jan, 2018. (Principal investigator)


  1. Gold Medal in M. Sc– 2003
  2. NBHM Research award (for PhD research)– 2003
  3. Selected as young Indian researcher under MIUR project of Italian Government– 2006, 2007.
  4. Autobiography is published in 2010 Edition of Who's Who in the World.

External student:

Mr. Phonindra Nath Das: (PhD student) Registered at Jadavpur University with Dr. Nandadulal Bairagi, Professor, Jadavpur University-- THESIS SUBMITTED 2017.