Discovery and Assesment of New Target Sites for Anti-HIV Therapies Problem given by: Sanjive Qazi, Gustavus Adolphus College, U.S.A. Working group: Chris Breward, Math. Inst., University of Oxford, U.K. Jane Heffernan, York University, Canada. Robert M. Miura, New Jersey Institute of Technology, U.S.A. Neal Madras, York University, Canada. John Ockendon, OCIAM Math. Inst. , University of Oxford, U.K. Mads Peter Sørensen, DTU Mathematics, Tech. Univ. of Denmark. Bob Anderssen, CSIRO, Mathematical and Information Sciences, Australia. Roderick Melnik, Wilfrid Laurier University, Canada. Mark McGuinness, Victoria University, New Zealand. Fields-MITACS Industrial Problem-Solving Workshop August 11 – 15, 2008 Introduction The HIV viruses infect cells by endocytosis and takes over parts of the cells reaction pathways in order to reproduce itself and spread the infection. One such pathway is the mammalian inflammatory signaling, which invoke NF-κB as the principal transcription factor. A treatment against HIV could be based on blocking the NF-κB pathway by a suitably designed drug. The aim of the current project is to investigate the feasibility of this idea by using mathematical modelling of the NF-κB pathway. Fields-MITACS Industrial Problem-Solving Workshop August 11 – 15, 2008 Outline Cartoon model of the inflammatory pathway. How HIV attacks mammalian cells through e.g. TNF signalling. The role of IKK and the TNF receptor in the cell membrane. Mathematical model of the NF-κB pathway. The role of IKK signaling. Fixed points and stability. Numerical examples. Extended mathematical model. Fixed points and stability. Numerical examples. Outlook and further work. Fields-MITACS Industrial Problem-Solving Workshop August 11 – 15, 2008 HIV Life Cycle Protease HIV Fusion Reverse Transcriptase Viral RNA Viral RNA Transcribed to DNA RNA + Viral Proteins Released Viral DNA Incorporated Into Host Genome New Proteins from Viral DNA Budding of New Virion CD4 receptor Protease Enables Capsid Assembly CD4 T-cell 4 Drug Therapy HIV Protease Fusion Reverse Transcriptase Viral RNA Viral RNA Transcribed to DNA RNA + Viral Proteins Released Viral DNA Incorporated Into Host Genome New Proteins from Viral DNA Budding of New Virion CD4r Protease Enables Capsid Assembly CD4 T-cell 5 Cartoon of the NF-κB pathway Fields-MITACS Industrial Problem-Solving Workshop August 11 – 15, 2008 Reaction scheme k 1 Ac An k -1 where A c =NF B in the cytoplasm k 2 B +2A +DNA 2A n +DNA n n A n =NF B in the cell nucleus Bc =I B (inhibitory B)in the cytoplasm k 3 B Bn c Bn =I B in the cell nucleus AB=NF B+I B complex k 4 AB Bc +A c D=I K=inhibitory B kinase k1 , k -1 , k 2 , k 3 , k 4 , k 5 are kinetic rate constants k 5 A +D AB+D c Mathematical description Use law of mass action for each of the reactions Assume constant concentration of D, and combine with k5 We get An after the fact from A=A*-Ac-AB Mathematical description Parameter values come from literature (means that someone else guessed them!) k4 0.5M 1s 1 A* 0.1M 4 k1 0.8 10 s 1 k1 0.9 101 s 1 k2 1.6 102 s 1 k2 0s 1 k3 2 104 s 1 k5 1.13 104 s 1 Steady State 2 k k A k1 An 3 2 n A AB c k3 k2 k5 k1 A* Ac An AB k3k2 k1 An k2 An2 Bc Bn k4 k1 k3 k2 k3 k 2 Has unique physical fixed point for all positive parameter values. Stable at given parameter values (in general: Jacobian at fixed point has positive determinant, negative trace, no positive real eigenvalues). 10 Numerics 2k5 k5=0 11 Numerics 2k5 k5=0 12 Cartoon number 2 of the NF-κB pathway Modified reaction scheme where k 1 Ac An k -1 k 2 B +2A +DNA 2A n +DNA n n k 3 B Bn c k 4 AB Bc +A c k 5 A +D AB+D a c i k 6 TNF+D 0 D a +TNF k -6 A c =NF B in the cytoplasm A n =NF B in the cell nucleus Bc =I B (inhibitory B)in the cytoplasm Bn =I B in the cell nucleus AB=NF B+I B complex D a =active I K=(inhibitory B kinase) D i =inactive I K D 0 =neutral I K TNF=tumor necrosis factor k1 , k -1 , k 2 , k 3 , k 4 , k 5 , k 6 , k -6 are kinetic rate constants Modified reaction scheme cont’d D0 is produced at the constant rate kp and degrades at the rate Li D1 degrades TNF is produced outside of the cell in response to HIV infection Mathematical description Use law of mass action for each of the reactions Concentration of TNF is rolled up into k6 Mathematical description Steady states and stability • Has unique physical fixed point for the given parameter values, as well as for all smaller (nonnegative) values of k6) and k5). • Stable at given parameter values (other values not checked). Numerics 19 Numerics 20 Numerics 21 Future Work 27 variable model Systematic reduction to see if it corresponds with our 7 variable model Control model Consider problem as optimal control with mu and lambda as the control parameters Unclear what to minimize Sensitivity analysis Vary rates 22 Reference: Cheong et.al. Understanding NF-κB signaling via mathematical modeling, Molecular Sytems Biology 4:192, 2008. Reference: Krishna et.al. Minimal model of spiky oscillations in NF-κB signaling, PNAS 103(29), 1084010845, 2006. Reference: Chan et.al. Quantitative ianalysis of human immunodeficiency virus type 1-infected CD4+ cell proteome: … Journal of Virology, 7571-7583, 2007. Reference: Lipniacki et.al. Mathematical model of NF-κB regulatory module, Journal of Theoretcal Biology 228, 195-215, 2004. Fields-MITACS Industrial Problem-Solving Workshop August 11 – 15, 2008 Summary and outlook HIV viruses take over host cellular pathways for their reproduction. One such pathway is the NF-κB pathway. Cartoon modeling of the NF-κB pathway. Mathematical modeling for clearifying the underlying regulatory pathway dynamics and hopefully summarizing abundant experimental observations. Mathematical modling as a tool for rational guided drug targeting. Extended complex models and mode reduction of bio chemical complexity. Fields-MITACS Industrial Problem-Solving Workshop August 11 – 15, 2008