MOHSIN SALEET JAFRI

School of Systems Biology
George Mason University
6401 Rockfish Creek Lane, MSN 2A1
Fairfax VA 22030

703-993-8420 (phone)

sjafri (at) gmu.edu

EDUCATION:

PhD in biomedical sciences, The City University of New York/The Mount Sinai School of Medicine , 2/93
MS in mathematics, Courant Institute of Mathematical Sciences, New York University , 1/89
BS in mathematics, Duke University , 5/86

EXPERIENCE:

GEORGE MASON UNIVERSITY                             8/14-present
Professor and Chair, Department of Molecular Neuroscience, Kransnow Institute of Advanced Study
Serve as Department Chair. Teach neuroscience, bioinformatics, computational biology, and systems biology courses.  Conduct research using mathematical models in the areas of cardiovascular physiology, cell signaling, cell energetics,

GEORGE MASON UNIVERSITY                             9/12-8/14
Professor, Department of Molecular Neuroscience, Kransnow Institute of Advanced Study
Teach neuroscience, bioinformatics, computational biology, and systems biology courses.  Conduct research using mathematical models in the areas of cardiovascular physiology, cell signaling, cell energetics.

GEORGE MASON UNIVERSITY                             1/11-present
Professor, School of Systems Biology, College of Science
Teach bioinformatics, computational biology, and systems biology courses.  Conduct research using mathematical models in the areas of cardiovascular physiology, cell signaling, cell energetics.

THE JOHNS HOPKINS UNIVERSITY                        8/09-8/10
Visiting Scholar, Department of Biomedical Engineering and Institute for Computational Medicine
Research in cardiac excitation-contraction coupling using computational models.

GEORGE MASON UNIVERSITY                             6/06-12/10
Professor and Chair, Department of Bioinformatics and Computational Biology, College of Science
Serve as Department Chair. Teach bioinformatics and computational biology courses.  Conduct research using mathematical models in the areas of cardiovascular physiology, cell signaling, cell energetics.

GEORGE MASON UNIVERSITY                             9/99-5/06
Associate Professor and PhD Program Director, Program in Bioinformatics and Computational Biology, School of Computational Sciences;
Serve as PhD Program Director. Teach bioinformaticss courses.  Conduct research using mathematical models in the areas of cardiovascular physiology, cell signaling, cell energetics.

UNIVERSITY OF MARYLAND                   1/10-present
Adjunct Professor, Center for Biomedical Engineering and Technology
Performed Research in the area of computational modeling of cardiac excitation-contraction couplint.

UNIVERSITY OF MARYLAND BIOTECHNOLOGY INSTITUTE                   9/06-1/10
Adjunct Professor, Medical Biotechnology Center
Performed Research in the area of computational modeling of cardiac excitation-contraction couplint.

UNIVERSITY OF MARYLAND BIOTECHNOLOGY INSTITUTE                   5/03-9/06
Adjunct Associate Professor, Medical Biotechnology Center
Performed Research in the area of computational modeling of cardiac excitation-contraction couplint.

NATIONAL INSTITUTES OF HEALTH                5/03-8/03
Adjunct Investigator, Laboratory of Cardiac Energetics , National Heart, Lung, and Blood Institute
Performed research developing computational models of cardiac energy metabolism.

THE UNIVERSITY OF TEXAS AT DALLAS                             9/99-8/02
Assistant Professor, Department of Mathematical Sciences
Teach mathematics courses with an emphasis on the applications of mathematics to medicine and biology.  Conduct research using mathematical models in the areas of cardiovascular physiology, cell signaling, cell energetics, and neurobiology.

THE JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE                       5/95-8/99
Whitaker Foundation Research Associate, Department of Biomedical Engineering
Consult with faculty on high performance computing/modeling projects. Teach a course on high performance computing. Conduct research and train graduate students.

UNIVERSITY OF CALIFORNIA, DAVIS                                                                  12/92-4/95
Postdoctoral Fellow, Institute for Theoretical Dynamics
Study calcium regulation, calcium waves, and buffering in Xenopus oocytes, insulin secreting beta cells in the pancreas, and hormone secreting gonadotrophs.

HEWLETT PACKARD                                                                                                  2/93-6/93
System Administration Consultant
Development and implementation of system administration procedures including workstation setup, backup procedure development, and printer setup.

MOUNT SINAI SCHOOL OF MEDICINE                                                                 9/90-12/92
System Administrator
Provide user support for and administrate computer resources in the Department of Biomathematical Sciences and the Genomic Institute.

MOUNT SINAI SCHOOL OF MEDICINE                                                                 5/89-9/90
Scientific Programmer/Analyst
Conformational analysis of proteins using combinatorial energy minimization techniques. Modeling of physiological systems. Assist with system administration tasks.

NATIONAL INSTITUTES OF HEALTH                                                                   5/87-9/87
Mathematician, Mathematics Research Branch
Studied the electrical activity of pancreatic beta cells using mathematical models.

UNIVERSITY OF MARYLAND SCHOOL OF MEDICINE                                  5/86-5/87
Mathematical Consultant
Constructed mathematical models to study calcium regulation in cardiac myocytes for the Department of Physiology.

PUBLICATIONS:

  1. Paudel, R., M. S. Jafri, and A. Ullah. 2024. Gain-of-Function and Loss-of-Function Mutations in the RyR2-Expressing Gene are Responsible for the CPVT1-Related Arrhythmogenic Activities in the Heart. Current Issues in Molecular Biology. 46(11): 12886-12910.
  2. Alvarez, J. A. E., M. S. Jafri, and A. Ullah. 2024. Failing Human Ventricular Cardiomyocytes: A Re-evaluation of Ca2+ Cycling, Voltage Dependence, and Spark Characteristics. Biomolecules. 14(11): 1371.
  3. Nezamuldeen, L. and M. S. Jafri. 2024. Text Mining to Understand Disease-Causing Gene Variants. Knowledge. 4(3): 422-443.
  4. Nezamuldeen, L. and M. S. Jafri. 2024. Boolean Modeling of Biological Network Applied to Protein-Protein Interaction Network of Autism Patients. Biology. 13(8): 606.
  5. Amnouiel, S., K. Yalamanchili, S. Sankararaman, and M. S. Jafri. 2024. Evaluating Ovarian Cancer Chemotherapy Response Using Gene Expression Data and Machine Learning BioMedInformatics. 4(2): 1396-1424
  6. Amnouiel, S. and M. S. Jafri. 2024. High-Accuracy Prediction of Colorectal Cancer Chemotherapy Efficacy Using Machine Learning Applied to Gene Expression Data Frontiers in Physiology. 14: 1272206.
  7. Nezamuldeen, L. and M. S. Jafri. 2023. Protein-Protein Interaction Network Extraction Using Text Mining Methods Adds Insight into Autism Spectrum Disorder. Biology. 12(10): 1344.
  8. Sandoval L., S. Jafri, J. B. Balasubramanian, P. Bhawsar, J. L. Edelson, Y. Martins, W. Maass, S. J. Chanock. M. Garcia-Closas, and J. S. Almeida. 2023. PRScalc, a privacy-preserving calculation of raw polygenic risk scores from direct-to-consumer genomics data. Bioinform Adv. 2023;3(1):vbad145.
  9. Alvarez, J. A. E., M. S. Jafri, and A. Ullah. 2023. Local Control Model of a Human Ventricular Myocyte: An Exploration of Frequency-Dependent Changes and Calcium Sparks. Biomolecules. 13(8): 1259. Editor's Choice Article
  10. Adams, R. A., Z. Liu, C. Hsieh, M. Marko, W. J. Lederer, M. S. Jafri, and C. Mannella. 2023. Structural Analysis of Mitochondria in Cardiomyocytes: Insights into Bioenergetics and Membrane Remodeling. Curr. Issues Mol. Biol. 45(7):6097-6115.
  11. McCoy, M. D., A. Ullah, W. J. Lederer, and M. S. Jafri. 2023. Understanding Calmodulin Variants Affecting Calcium Dependent Inactivation of L-type Calcium Channels through Whole-Cell Simulation of the Cardiac Ventricular Myocyte. Biomolecules. 13(1):72.
  12. Paudel, R., M. S. Jafri,, and A. Ullah. 2022. Pacing Dynamics Determines the Arrhythmogenic Mechanism of the CPVT2-Causing CASQ2G112+5X Mutation in a Guinea Pig Ventricular Myocyte Model. Genes. 14(1):23.
  13. Alomair, L., S. Mustafa, M. S. Jafri, W. Alharbi, A. Aljouie, F. Almsned, M. Alawad, Y. A. Bokhari, and M. Rashid. 2022. Molecular Dynamics Simulations to Decipher the Role of Phosphorylation of SARS-CoV-2 Nonstructural Proteins (nsps) in Viral Replication. Viruses. 14(11):2436.
  14. Paudel, R., M. S. Jafri, and A. Ullah. 2022. The Role of Ca2+ Sparks in Force Frequency Relationships in the Guinea Pig Ventricular Myocytes. Biomolecules. 12(11):1577. Editor's Choice Article
  15. Kumar, R. and M. S. Jafri. 2022. Computational Modelling of Mitochondria to Understand the Dynamics of Oxidative Stress. In Mitochondria - Methods and Protocols. Namrata Tomar Ed. Methods Mol Biol. 2497:363-422.
  16. Jafri M. S. and A. Ullah. 2022. Models of Calcium Waves. In: Jaeger D., Jung R. (Ed.) Encyclopedia of Computational Neuroscience. 2nd Edition. 222 SpringerReference (www.springerreference.com). Springer-Verlag Berlin Heidelberg.
  17. Ullah, A., M. T. Hoang-Trong, W. J. Lederer, R. L. Winslow, and M. S. Jafri. 2022. Critical Requirements for the Initiation of a Cardiac Arrhythmia in Rat Ventricle: How Many Myocytes?. Cells. 11(12): 1878.
  18. Yalamanchili, K., N. Afzal, L. Boyman, C. A. Mannella, W. J. Lederer, M. S. Jafri. 2022. Understanding the Dynamics of the Transient and Permanent Opening Events of Mitochondrial Permeability Transition Pore with a Novel Stochastic Model. Membranes. 12(5):494.
  19. Hong, C. G., H. Li, N. Patel. P. M. Parel, G. A. Manyak, A. R. Berg, R. O'Hagan, E. Florida, J. Rodante, H. Teague, M. P. Playforf, A. V.Sorokin, C. O. Wu, M. Chen, M. S. Jafri, E. Munger, N. N. Mehta. 2022. Identifying Baseline Top Predictors of Lipid-Rich Necrotic Core by Machine Learning in Psoriasis. J Am Coll Cardiol.79(9 Suppl.): 1811.
  20. Sankararaman, S., J. Hamre III, F. Almsned, A. Aljouie, Y. Bokhari, M. Alawwad, L. Alomair, and M. S. Jafri. 2022. Active Site Prediction of Phosphorylated SARS-CoV-2 N-Protein Using Molecular Simulation. Inform. Med. Unlocked. 29:100889.
  21. Hamre III, J. R. and M. S. Jafri. 2022. Optimizing Peptide Inhibitors of SARS-Cov-2 nsp10/nsp16 Methyltransferase Predicted through Molecular Simulation and Machine Learning. Inform. Med. Unlocked. 29:100886.
  22. Hamre III, J. R., M. D. McCoy, D. K. Klimov, and M. S. Jafri. 2022. Machine Learning-Based Prediction of Drug and Ligand Binding in BCL-2 Variants Through Molecular Dynamics. Comput Biol Med. 140:105060.
  23. Hoang-Trong, T. M., A. Ullah, W. J. Lederer, and M. S. Jafri. 2021. A Stochastic Spatiotemporal Model of Rat Ventricular Myocyte Calcium Dynamics Demonstrated Necessary Features for Calcium Wave Propagation. Membranes. 11(12): 989.
  24. Gurunathan, V., J. Hamre III, D. K. Klimov, and M. S. Jafri. 2021. Data Mining of Molecular Simulations Suggest Key Amino Acid Residues for Aggregation, Signaling and Drug Action. Biomolecules. 11(10): 1541.
  25. Hoang-Trong, M. T., A. Ullah, W. J. Lederer, and M. S. Jafri. 2021. Cardiac alternans occurs through the synergy of voltage- and calcium-dependent mechanisms. Membranes. 1(10): 794.
  26. Alomair, L., F. Almsned, A. Ullah, M. S. Jafri. 2021. In silico prediction of the phosphorylation of NS3 as an essential mechanism for Dengue virus replication and the antiviral activity of Quercetin. Biology. 10(10): 1067.
  27. Limbu, S., B. L. Prosser, W. J. Lederer, C. W. Ward, and M. S. Jafri. 2021. X-ROS Signaling Depends on Length-Dependent Calcium Buffering by Troponin. Cells. 10(5):1189.
  28. Almsned, F., R. H. Lipsky, and M. S. Jafri. 2021. Transcriptomic Analysis Of Multiple Sclerosis Patients Monocytes Cells By Rna-Sequencing. Inform. Med. Unlocked. 100563.
  29. Afzal, N., W. J. Lederer, M. S. Jafri, and C. A. Mannella. 2021. Effect of Crista Morphology on Mitochondrial ATP Output: A Computational Study. Current Research in Physiology. 4:163-176.
  30. Munger, E., A. Dey, J. Rodante, M. Playford, A. Sorokin, X. Tian, C. Wu, A. Hasan, M. Chen, J. Gelfand, M. S. Jafri, N. Mehta. 2021. Identifying Top Predictors of Change in Noncalcified Coronary Burden in Psoriasis by Machine Learning over One-Year. JPPA. 6(2):113-117.
  31. Munger, E. M., J. W. Hickey, A. K. Dey, M. S. Jafri, J. M Kinser, N. N. Mehta. 2021. Application of Machine Learning in Understanding Atherosclerosis: Emerging Insights. APL Bioeng. 5(1):011505. Editor's Pick
  32. M. D. McCoy, J. Hamre III, D. K. Klimov, and M. S. Jafri. 2021. Understanding Proteins Through the Crystal Structure. The Biophysical Society. www.biophysics.org/blog/understanding-proteins-through-the-crystal-structure. Cover
  33. McCoy, M. D., J. Hamre, D. K. Klimov, and M. S. Jafri. 2021. Predicting genetic variation severity using machine learning to interpret molecular simulations. Biophys. J. 120(2):189-204.
  34. Yang, L., E. N. Dedkova, P. D. Allen, M. S. Jafri. A. F. Fomina. 2021. T lymphocytes from malignant hyperthermia-susceptible mice display aberrations in intracellular calcium signaling and mitochondrial function. Cell Calcium. 93:102235.
  35. Ahmad A., F. Almsned, P. Ghazali, M. W. Ahmed, M. S. Jafri, H. Bokhari. 2020. Neuropeptide S receptor gene Asn107 polymorphism in obese male individuals in Pakistan. Plos One 15(12): e0243205.
  36. Seifuddin, F., K. Singh, A. Suresh, J. Judy, Y.-C. Chen, V. Chaitankar, I. Tunc, X. Ruan, P.Li, Y. Chen, H. Cao, R. Lee, F. Goes, P. Zandi, M. S. Jafri, and M. Pirooznia. 2020. lncRNAKB, A Knowledgebase of Tissue-Specific Functional Annotation and Trait Association of Long Noncoding RNA. Nature Sci. Data 7(1):326.
  37. Yang, P.-C. and M. S. Jafri. 2020. Ca2+ signaling in T Lymphocytes: The Interplay of the Endoplasmic Reticulum, Mitochondria, Membrane Potential, and CRAC Channels on Transcription Factor Activation. Heliyon. 6(3): e03526
  38. Munger, E., H. Choi, A. K. Dey, Y. A. Elnabawi, J. W. Groenendyk, J. Rodante, A. Keelk, M. Aksentijevich, A. S. Reddy, N. Khalil, J. Argueta-Ameya, M. P. Playford, J. Erb-Alvarez, X. Tian, C. Wu, J. E. Gudjonsson, L. C. Tsoi, M. S. Jafri, V. Sandfort, M. Y. Chen, S. J. Shah, D. A. Bluemke, B. Lockshin, A. Hasan, J. M. Gelfand, N. N. Mehta. A. 2020. Application of Machine Learning to Determine Top Predictors of Non-Calcified Coronary Burden in Psoriasis: an Observational Cohort Study. J. Am. Acad. Dermatol. 83(6):1647-1653
  39. McCoy, M. D., V. Shivakumar, S. Nimmagadda, M. S. Jafri, and S. Madhavan. 2019. SNP2SIM: a modular workflow for standardizing molecular simulation and functional analysis of protein variants. BMC Bioinformatics 20:171-178.
  40. King, J. R., A. Ullah, E. Bak, S. Jafri, and N. Kabbani. 2018. Ionotropic and metabotropic mechanisms of allosteric modulation of a7 nicotinic receptor intracellular calcium. Mol Pharmacol. 93(6):601-611
  41. Wescott, A. P., M. S. Jafri, W. J. Lederer, and G. S. B. Williams. 2016. Ryanodine Receptor Sensitivity Governs the Stability and Synchrony of Local Calcium Release during Cardiac Excitation-Contraction Coupling. J Mol Cel Cardiol. 92:82-92.
  42. Yang P.-C. and M. S. Jafri. 2015. The Phase Lag between Agonist-Induced Oscillatory Ca2+ and IP3 Signals Does Not Imply Causality. Calcium Signaling. 2(1):1-10.
  43. Hoang-Trong T. M., A. Ullah, and M. S. Jafri. 2015. Calcium sparks in the heart: dynamics and regulation. Research and Reports in Biology 2015:203-214.
  44. Macquaide, N., M. T. Hoang-Trong,J-I Hotta, W. Sempels, I. Lenaerts, P. Holemans, J. Hofkens, M. S. Jafri, R. Willems, and K. R. Sipido. 2015. Ryanodine receptor cluster fragmentation and redistribution in persistent atrial fibrillation. Cardiovasc. Res. 108(3):387-398.
  45. Limbu S, T. M. Hoang-Trong, B. L. Prosser, W. J. Lederer, and M. S. Jafri. 2015. Modeling Local X-ROS and Calcium Signaling in Heart. Biophys. J. 109(10):2037-2050.
  46. M. A. Walker, G. S. B. Williams, T. Kohl. S. E. Lehnart, M. S. Jafri, J. L. Greenstein, W. J. Lederer, and R. L. Winslow. 2014. Calcium Release Sparks Our Interest. The Biophysical Society. www.biophysics.org/blog/calcium-release-sparks-our-interest.
  47. Walker, M. A., G. S. B. Williams, T. Kohl, S. E. Lehnart, M. S. Jafri, J. L. Greenstein, W. J. Lederer, and R. L. Winslow. 2014. Superresolution modeling of calcium release in the heart. Biophys. J. 107:3018-3029. Cover
  48. Jafri, M. S. 2014. Mechanisms of Myofascial Pain. International Scholarly Research Notices. Volume 2014. Article ID 523924, 16 pages.
  49. Jafri, M. S. and R. Kumar. 2014. Modeling mitochondrial function and its role in disease. Progress in Molecular Biology and Translational Science 123:103-125.
  50. Jafri M. S. and A. Ullah. 2014. Models of Calcium Waves.In: Jaeger D., Jung R. (Ed.) Encyclopedia of Computational Neuroscience: SpringerReference (www.springerreference.com). Springer-Verlag Berlin Heidelberg.
  51. Mannella, C. A., W. J. Lederer, and M. S. Jafri. 2013. The connection between inner membrane topology and mitochondrial function. J. Mol. Cell. Cardiol. 62C:51-57.
  52. Jafri, M. S. 2012. Models of Excitation-Contraction Coupling in Cardiac Ventricular Myocytes. In Bioinformatics and Drug Discovery. Richard S. Larson Ed. Methods Mol Biol. 910:309-35.
  53. Wagner, E., M. Lauterbach, T. Kohl, V. Westphal, G.S.B. Williams, J.H. Steinbrecher, J.H. Streich, B. Korff, Hoang-Trong M. T., B, Hagen, S, Luther, G. Hasenfuss, U. Parlitz, M. S. Jafri , SW Hell, W,J. Lederer, S. E. Lehnart. 2012. STED live cell super-resolution imaging shows proliferative remodeling of T-tubule membrane structures after myocardial infarction. Circulation Research. 111(4): 402-414
  54. Hoang-Trong, M. T., G. S. B. Williams, A. C. Chikando, E. A. Sobie, W. J. Lederer, and M. S. Jafri. 2011. Stochastic Simulation of Cardiac Calcium Dynamics and Waves. Conf Proc IEEE Eng Med Biol Soc. 2011: 4677-4680.
  55. Williams, G. S. B., A. C. Chikando, T. M. Hoang-Trong, E. A. Sobie, W. J. Lederer, and M. S. Jafri. 2011. Dynamics of Calcium Sparks and Calcium Leak in Heart. Biophys. J. 101:1287-1296.
  56. Williams, G. S., G. D. Smith, E. A. Sobie, and M. S. Jafri. 2010. Models of cardiac excitation-contraction coupling in ventricular myocytes. Math. Biosci. 226(1):1-15.
  57. Ramay, H. R., M. S. Jafri, W. J. Lederer, and E. A. Sobie. 2010. Predicting local SR Ca2+ dynamics during Ca2+ wave propagation in ventricular myocytes. Biophys. J. 98(11):2515-2523
  58. Bertram, R., P. Budu-Grajdeanu, and M. S. Jafri. 2009. Using Phase Relations to Identify Potential Mechanisms for Metabolic Oscillations in Isolated β-Cell Mitochondria. Islets 1(2):87-94
  59. Jafri, M. S. 2009. Transcriptional Therapies for Heart Failure: An Update. Asian Hospital and HealthCare Management. 19:53-55
  60. Williams, G. S., M. A. Huertas, E. A. Sobie, M. S. Jafri, and G. D. Smith. 2008. Moment closure for local control models of calcium-induced calcium release in cardiac myocytes. Biophys. J. 95(4):1689-1703
  61. Williams, G. S., M. A. Huertas, G. D. Smith, M. S. Jafri, and E. A. Sobie. 2008. Non-spatial whole cell models of global calcium responses that account for heterogeneous domain calcium concentrations. Proceedings of the 2008 Conference on Frontiers of Applied and Computational Mathematics.` 231-239
  62. Jafri, M. S. 2007. The globalization of biotechnology. Global Studies Review. 3(3):4-5
  63. Nguyen, M. T., S. J. Dudycha, and M. S. Jafri. 2007. The effects of Ca2+ on cardiac mitochondrial energy production is modulated by Na+ and H+ dynamics. Am. J. Physiol. Cell Physiol. 292(6):C2004-2020.
  64. Williams, G. S., M. A. Huertas, E. A. Sobie, M. S. Jafri, and G. D. Smith. 2007. A probability density approach to modeling local control of calcium-induced calcium release in cardiac myocytes. Biophys. J. 92:2311-2328.
  65. Fisher, W. G., P.-C. Yang, R. K. Medikonduri, and M. S. Jafri. 2006. NFAT and NFκB Activation in T Lymphocytes: A Model of Differential Activation of Gene Expression. Ann. Biomed. Eng. 34(11):1712-28.
  66. Jafri, M. S., and M. Kotulska. 2006. Modeling the Mechanism of Metabolic Oscillations in Ischemic Cardiac Myocytes. J. Theor. Biol. 242(4):801-817.
  67. Sobie, E. A., S. Guatimosim, L. Gomez-Viquez, L-S. Song, H. Hartmann, M. S. Jafri and W. J. Lederer. 2006. The Ca2+ leak paradox and "rogue ryanodine receptors": SR Ca2+ efflux theory and practice. Prog. Biophys. Mol. Biol. 90:172-185.
  68. Nguyen, M-H. T., and M. S. Jafri. 2005. Mitochondrial calcium signaling and energy metabolism. Ann. N. Y. Acad. Sci. 1047:127-137.
  69. Nguyen, M.-H. T., and M. S. Jafri. 2005. The impact of mitochondrial Ca2+ handling on energy metabolism. Proceedings of the 2005 Conference on Computational and Mathematical Methods on Science and Engineering. 608-619.
  70. Nguyen, M-H. T., H. R. Ramay, S. J. Dudycha, and M. S. Jafri. 2004. Modeling the cellular basis of cardiac excitation-contraction coupling and energy metabolism. Part I : Part 2 Recent Research Developments in Biophysics 3(Pt. 1):125-145.
  71. Jafri, M. S. and K.-H. Yang. 2004. Modeling Neuronal Calcium. Computational Neuroscience: A Comprehensive Approach ed. J. Feng. CRC Press. 75-95
  72. Jafri, S., M. K. Bashi, and S. Ellahham. 2003. Usefulness of lercanidipine, a new calcium antagonist, for systemic hypertension. Hypertension Today 1:6-10.
  73. Sobie, E. A., M. S. Jafri, and W. J. Lederer. 2003. Models of cardiac Ca2+-induced Ca2+ release and Ca2+ sparks. Understanding Calcium Dynamics: Experiments and Theory. in Lecture Notes in Physics vol 623.eds M. Falcke and D. Malchow. Springer Verlag. 97-114.
  74. Zhang, H., D. Noble, M. Cannell, C. Orchard, M Lancaster, M. R. Boyett, A.V. Holden, M. Saleet Jafri, E.A. Sobie, W.J. Lederer, S.S. Demir, A. Michailova, F. DelPrincipe, M. Egger, E. Niggli, G.L. Smith, C.M. Loughrey, N. Macquaide, J. Dempster, and A.T. Trafford. 2003. Dynamics of cardiac intracellular Ca2+ handling – from experiments to virtual cells. International Journal of Bifurcation and Chaos 13:3535-3560.
  75. M. Kotulska and M. S. Jafri. 2003. Modeling the mechanism of metabolic oscillations in metabolically deprived cardiac myocytes. Proceedings of the IEEE. 91(1 suppl.).
  76. Guatimosim, S., K.W.Dilly, F.Santana, M.S.Jafri , E.A.Sobie, and W.J.Lederer. 2002. Local Ca2+ signaling and EC coupling in heart Ca2+ sparks and the regulation of the [Ca2+] transient . J.Mol.Cell.Cardiol. 34:941 - 050.
  77. Sobie, E. A., K. W. Dilly, J. d. S. Cruz, W. J. Lederer, and M. S. Jafri. 2002. Termination of cardiac of Ca2+ sparks: an investigative mathematical model of calcium-induced calcium release. Biophys. J. 83:59-78
  78. Jafri, M. S., S. J. Dudycha, and B. O'Rourke. 2001. Cardiac energy metabolism: models of cellular respiration. Ann. Rev. Biomed. Eng. 3:57-81.
  79. Rice, J. J. and M. S. Jafri. 2001. Modeling calcium handling in cardiac cells. Phil. Trans. Roy. Soc. A. 359:1143-1157.
  80. S. J. Dudycha and M. S. Jafri. 2001. Modeling regulation of the citric acid cycle. Proceedings of the Physiological Society of New Zealand. 20(suppl 1):36
  81. E. A. Sobie, W. J. Lederer, and M. S. Jafri. 2001. Modeling the mechanism of calcium sparks. Proceedings of the Physiological Society of New Zealand. 20(suppl 1):77
  82. Winslow, R. L., D. F. Scollan, A. Holmes, L. Irvine, C. Y. Yung, and M. S. Jafri. 2000. Electrophysiological modeling of cardiac ventricular function: from cell to organ. Ann. Rev. Biomed. Eng. 2:119-155.
  83. Rice, J. J., M. S. Jafri, and R. L. Winslow. 2000. Modeling short-term interval-force relations in cardiac muscle. Am. J. Physiol. 278:H913-H931.
  84. Rice, J. J., M. S. Jafri and R. L. Winslow. 1999. Modeling gain and gradedness of Ca2+ release in the functional unit of the cardiac diadic space. Biophys. J. 77:1871-1884.
  85. Haddock, P. S., W. A. Coetzee, E. Cho, H. Katoh, D. M. Bers, M. S. Jafri, and M. Artman. 1999. Sub-cellular [Ca2+] gradients during excitation-contraction coupling in newborn rabbit ventricular myocytes. Circ. Res. 84:571-586.
  86. Irvine, L. A., M. S. Jafri, and R. L. Winslow. 1999. Cardiac sodium channel markov model with temperature dependence and recovery from inactivation. Biophys. J. 76:1868-1885.
  87. Winslow, R. L., J. J. Rice, M. S. Jafri, E. Marban, and B. O'Rourke. 1999. Mechanisms of altered excitation-contraction coupling in canine tachycardia-induced heart failure II. model studies. Circ. Res. 84:571-586.
  88. M. S. Jafri. 2000. Elementary events in excitation-contraction coupling in the cardiac diadic space. Proceedings of the World Congress on Medical Physics and Biomedical Engineering.
  89. M. S. Jafri. 2000. Computational modeling of short-term interval-force relations in single cardiac myocytes. Proceedings of the World Congress on Medical Physics and Biomedical Engineering
  90. Winslow, R. L., J. J. Rice, and M. S. Jafri. 1998. Modeling the cellular basis of altered excitation-contraction coupling in heart failure. Prog. Biphys. Mol. Biol. 69:497-514.
  91. Rice, J. J., M. S. Jafri, and R. L. Winslow. 1998. Modeling short-term interval force relations in cardiac muscle. Ann. N. Y. Acad. Sci. 853:345-349.
  92. Jafri, M. S., J. J. Rice and R. L. Winslow. 1998. Cardiac calcium dynamics: the roles of ryanodine receptor adaptation and sarcoplasmic reticulum Ca2+ load. Biophys. J. 74:1149-1168.
  93. Jafri, M. S. and J. Keizer. 1997. Agonist-induced calcium waves in oscillatory cells: a biological example of Burgers' equation. Bull. Math. Biol. 59:1125-1144
  94. Jafri, M. S. and J. Keizer. 1995. On the roles of Ca2+ diffusion, Ca2+ buffering, and the endoplasmic reticulum in IP3 induced Ca2+ release. Biophys. J. 69:2139-2153.
  95. Jafri, M. S. 1995. A theoretical study of cytosolic calcium waves in Xenopus oocytes. J. Theor. Biol. 172:209-216.
  96. Jafri, M. S. and B. Gillo. 1994. A membrane potential model with counterions for cytosolic calcium oscillations. Cell Calcium . 16:9-19.
  97. Jafri, M. S. and J. Keizer. 1994. Diffusion of IP3 , but not Ca2+ , is necessary for a class of IP3-induced Ca2+ wave trains. Proc. Natl. Acad. Sci. USA 91:9485-9489.
  98. Benham, C. J. and M. S. Jafri. 1993. Disulphide bonding patterns and protein topologies. Protein Science. 2:41-54.
  99. Vajda, S., M. S. Jafri, O. U. Sezerman, and C. Delisi. 1993. Necessary conditions for avoiding incorrect polypeptide folds in conformational search by energy minimization. Biopolymers. 33:173-192.
  100. Jafri, M. S., S. Vajda, P. Pasik, and B. Gillo. 1992. A membrane model for cytosolic calcium oscillations: a study using Xenopus oocytes. Biophys. J. 63:235-246.

THESES and DISSERTATIONS:

  1. Jafri, M. S. 1993. A theoretical study of spatial and temporal cytosolic calcium waves. Doctoral Dissertation-The City University of New York.
  2. Jafri, M. S. 1986. Mathematical models for counter-current exchange in the rete mirabile as the filling mechanism of the fish swim bladder. Honors Thesis-Duke University.

PATENTS:

  1. Jafri MS, McCoy, M. U. S. Patent 11,574.702 Mining All Atom Simulations for Diagnosing and Treating Disease. 2017.
  2. Jafri MS , Hoang-Trong MT, Willams GSB, U. S. Patent 9,009,095. Method and System for Utilizing Markov Chain Monte Carlo Simulations. 2012.
  3. Grehlingher PM, Jafri MS , Li J, Winslow RL, European Patent EP1171841 A1, System and method for modeling genetic, biochemical, biophysical, and anatomical information, 2000.
  4. Winslow RL, Jafri MS , Grehlingher PM, Li J, Canadian Patent CA 2367463 A1, System and method for modeling genetic, biochemical, biophysical, and anatomical information, 2000.
  5. Grehlingher PM, Jafri MS , Li J, Winslow RL, World Intellectual Property Association Patent WO/2000/065523, System and method for modeling genetic, biochemical, biophysical, and anatomical information, 2000.
  6. Winslow RL, Jafri MS , Grehlingher PM, Li J, U. S. Patent PCT/US2000/003318, System and method for modeling genetic, biochemical, biophysical, and anatomical information, 1999.