Toward a multiscale model of antigen presentation in immunity
暂无分享,去创建一个
Nicolas Perry | Stewart T. Chang | D. Kirschner | T. Riggs | Nicolas Perry | J. Linderman | Jennifer J. Linderman | Denise E. Kirschner | Stewart T. Chang | Thomas W. Riggs
[1] Grégoire Altan-Bonnet,et al. Chemokines enhance immunity by guiding naive CD8+ T cells to sites of CD4+ T cell–dendritic cell interaction , 2006, Nature.
[2] T. Springer,et al. High endothelial venules (HEVs): specialized endothelium for lymphocyte migration. , 1995, Immunology today.
[3] Mark M. Davis,et al. Direct observation of ligand recognition by T cells , 2002, Nature.
[4] Michael Loran Dustin,et al. What is the importance of the immunological synapse? , 2004, Trends in immunology.
[5] J. Banchereau,et al. IL-6 switches the differentiation of monocytes from dendritic cells to macrophages , 2000, Nature Immunology.
[6] Mark J. Miller,et al. Antigen-Engaged B Cells Undergo Chemotaxis toward the T Zone and Form Motile Conjugates with Helper T Cells , 2005, PLoS biology.
[7] P. Ye,et al. The effects of different HIV type 1 strains on human thymic function. , 2002, AIDS research and human retroviruses.
[8] Gajendra P.S. Raghava,et al. Prediction of CTL epitopes using QM, SVM and ANN techniques. , 2004, Vaccine.
[9] Søren Brunak,et al. Improved prediction of MHC class I and class II epitopes using a novel Gibbs sampling approach , 2004, Bioinform..
[10] K. Parker,et al. Scheme for ranking potential HLA-A2 binding peptides based on independent binding of individual peptide side-chains. , 1994, Journal of immunology.
[11] J. Lamb,et al. The inhibitory effects of mycobacterial lipoarabinomannan and polysaccharides upon polyclonal and monoclonal human T cell proliferation. , 1988, Clinical and experimental immunology.
[12] C. Harding,et al. Inhibition of IFN-γ-Induced Class II Transactivator Expression by a 19-kDa Lipoprotein from Mycobacterium tuberculosis: A Potential Mechanism for Immune Evasion1 , 2003, The Journal of Immunology.
[13] Hay,et al. Lymphocyte migration in development and disease , 1999, Seminars in immunology.
[14] B. Pulendran,et al. Cutting Edge: Impairment of Dendritic Cells and Adaptive Immunity by Ebola and Lassa Viruses1 , 2003, The Journal of Immunology.
[15] R. Steinman,et al. Protein-specific helper T-lymphocyte formation initiated by dendritic cells. , 1985, Science.
[16] D. Sedmak,et al. Human Cytomegalovirus Inhibits Major Histocompatibility Complex Class II Expression By Disruption of the Jak/Stat Pathway , 1998, The Journal of experimental medicine.
[17] Catherine M Lloyd,et al. CellML: its future, present and past. , 2004, Progress in biophysics and molecular biology.
[18] T. Hanai,et al. Hidden Markov model-based prediction of antigenic peptides that interact with MHC class II molecules. , 2002, Journal of bioscience and bioengineering.
[19] Mark J. Miller,et al. T cell repertoire scanning is promoted by dynamic dendritic cell behavior and random T cell motility in the lymph node. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[20] W. Rom,et al. Local immune responses correlate with presentation and outcome in tuberculosis. , 1998, American journal of respiratory and critical care medicine.
[21] P. Holt. Antigen presentation in the lung. , 2000, American journal of respiratory and critical care medicine.
[22] Susan X. Hsiong,et al. Multi-scale modeling to predict ligand presentation within RGD nanopatterned hydrogels. , 2006, Biomaterials.
[23] S. Granjeaud,et al. The Strategy of T Cell Antigen-presenting Cell Encounter in Antigen-draining Lymph Nodes Revealed by Imaging of Initial T Cell Activation , 2003, The Journal of experimental medicine.
[24] O. Fardel,et al. Differential expression of major histocompatibility complex class Ia, Ib, and II molecules on monocytes-derived dendritic and macrophagic cells. , 1999, Human immunology.
[25] Burkhard Rost,et al. UniqueProt: creating representative protein sequence sets , 2003, Nucleic Acids Res..
[26] F. J. Davis,et al. Illustration of Sampling‐Based Methods for Uncertainty and Sensitivity Analysis , 2002, Risk analysis : an official publication of the Society for Risk Analysis.
[27] J. Flynn,et al. CCR5-Deficient Mice Control Mycobacterium tuberculosis Infection despite Increased Pulmonary Lymphocytic Infiltration1 , 2004, The Journal of Immunology.
[28] Denis Noble,et al. Dimensionality in cardiac modelling. , 2005, Progress in biophysics and molecular biology.
[29] Vladimir Brusic,et al. Prediction of MHC class II-binding peptides using an evolutionary algorithm and artificial neural network , 1998, Bioinform..
[30] V. Marchesi,et al. The migration of lymphocytes through the endothelium of venules in lymph nodes: an electron microscope study , 1964, Proceedings of the Royal Society of London. Series B. Biological Sciences.
[31] Hanah Margalit,et al. A structure-based approach for prediction of MHC-binding peptides. , 2004, Methods.
[32] A. Rudensky,et al. Lysosomal cysteine proteases regulate antigen presentation , 2003, Nature Reviews Immunology.
[33] Peter Hunter,et al. A strategy for integrative computational physiology. , 2005, Physiology.
[34] A J Young,et al. The physiology of lymphocyte migration through the single lymph node in vivo. , 1999, Seminars in immunology.
[35] A Sette,et al. A structure-based algorithm to predict potential binding peptides to MHC molecules with hydrophobic binding pockets. , 1997, Human immunology.
[36] C. Rouzioux,et al. Frequency and phenotyping of human immunodeficiency virus (HIV)-specific CD8+ T cells in HIV-infected children, using major histocompatibility complex class I peptide tetramers. , 2001, The Journal of infectious diseases.
[37] C. Mackay,et al. T-cell function and migration. Two sides of the same coin. , 2000, The New England journal of medicine.
[38] M A Savageau,et al. Reconstructionist molecular biology. , 1991, The New biologist.
[39] A Finney,et al. Systems biology markup language: Level 2 and beyond. , 2003, Biochemical Society transactions.
[40] R. Pabst,et al. Migration of naive and memory T cells in vivo. , 1998, Immunology today.
[41] C. Sumen,et al. ReviewIntravital Microscopy : Visualizing Immunity in Context , 2004 .
[42] Tony White,et al. UML as a cell and biochemistry modeling language. , 2005, Bio Systems.
[43] P. Cresswell,et al. HLA-DM induces CLIP dissociation from MHC class II alpha beta dimers and facilitates peptide loading. , 1995, Cell.
[44] A. Geluk,et al. Identification of HLA class II-restricted determinants of Mycobacterium tuberculosis-derived proteins by using HLA-transgenic, class II-deficient mice. , 1998, Proceedings of the National Academy of Sciences of the United States of America.
[45] P. Holt,et al. Localization of T cells, macrophages and dendritic cells in rat respiratory tract tissue: implications for immune function studies. , 1987, Immunology.
[46] Jose L. Segovia-Juarez,et al. Identifying control mechanisms of granuloma formation during M. tuberculosis infection using an agent-based model. , 2004, Journal of theoretical biology.
[47] M A Nowak,et al. Quantitation of HIV-1-specific cytotoxic T lymphocytes and plasma load of viral RNA. , 1998, Science.
[48] P. Dönnes,et al. Integrated modeling of the major events in the MHC class I antigen processing pathway , 2005, Protein science : a publication of the Protein Society.
[49] E. Sercarz,et al. MHC-guided processing: binding of large antigen fragments , 2003, Nature Reviews Immunology.
[50] Simeone Marino,et al. Dendritic Cell Trafficking and Antigen Presentation in the Human Immune Response to Mycobacterium tuberculosis 1 , 2004, The Journal of Immunology.
[51] H. Rammensee,et al. SYFPEITHI: database for MHC ligands and peptide motifs , 1999, Immunogenetics.
[52] Melody A. Swartz,et al. Dendritic-cell trafficking to lymph nodes through lymphatic vessels , 2005, Nature Reviews Immunology.
[53] L. Picker,et al. Lymphocyte Homing and Homeostasis , 1996, Science.
[54] T. Watts. T cell activation by preformed, long-lived Ia-peptide complexes. Quantitative aspects. , 1988, Journal of immunology.
[55] Philip K Maini,et al. Interpreting two-photon imaging data of lymphocyte motility. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.
[56] J. Sprent,et al. T Cell Death and Memory , 2001, Science.
[57] P. Maini,et al. Towards whole-organ modelling of tumour growth. , 2004, Progress in biophysics and molecular biology.
[58] Simeone Marino,et al. Understanding the Immune Response in Tuberculosis Using Different Mathematical Models and Biological Scales , 2005, Multiscale Model. Simul..
[59] G Janossy,et al. The importance of lymphocyte trafficking in regulating blood lymphocyte levels during HIV and SIV infections. , 1999, Seminars in immunology.
[60] P. Robinson,et al. Multiscale brain modelling , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.
[61] Gregory R. Grant,et al. Statistical Methods in Bioinformatics , 2001 .
[62] P. Cresswell,et al. High-affinity binding of an influenza hemagglutinin-derived peptide to purified HLA-DR. , 1990, Journal of immunology.
[63] M F del Guercio,et al. Several common HLA-DR types share largely overlapping peptide binding repertoires. , 1998, Journal of immunology.
[64] Peter V Coveney,et al. Modelling biological complexity: a physical scientist's perspective , 2005, Journal of The Royal Society Interface.
[65] Mark J. Miller,et al. Autonomous T cell trafficking examined in vivo with intravital two-photon microscopy , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[66] J. Sprent,et al. Circulating T and B lymphocytes of the mouse. II. Lifespan. , 1973, Cellular immunology.
[67] Savageau Ma,et al. Reconstructionist molecular biology. , 1991 .
[68] M. Fenton. Macrophages and tuberculosis , 1998, Current opinion in hematology.
[69] Debashis Ghosh,et al. Peptide length-based prediction of peptide-MHC class II binding , 2006, Bioinform..
[70] T. Moore,et al. Distinct compartmentalization of CD4+ T-cell effector function versus proliferative capacity during pulmonary cryptococcosis. , 2006, The American journal of pathology.
[71] L. Segel,et al. Design Principles for the Immune System and Other Distributed Autonomous Systems , 2001 .
[72] J. Linderman,et al. Mathematical modeling of helper T lymphocyte/antigen-presenting cell interactions: analysis of methods for modifying antigen processing and presentation. , 1996, Journal of theoretical biology.
[73] Channa K. Hattotuwagama,et al. Quantitative online prediction of peptide binding to the major histocompatibility complex. , 2004, Journal of molecular graphics & modelling.
[74] M. Miyasaka,et al. Lymphocyte trafficking across high endothelial venules: dogmas and enigmas , 2004, Nature Reviews Immunology.
[75] J. Crapo,et al. Allometric relationships of cell numbers and size in the mammalian lung. , 1992, American journal of respiratory cell and molecular biology.
[76] Gennaro De Libero,et al. Recognition of lipid antigens by T cells , 2005, Nature Reviews Immunology.
[77] A S Perelson,et al. Drug concentration heterogeneity facilitates the evolution of drug resistance. , 1998, Proceedings of the National Academy of Sciences of the United States of America.
[78] D. Flower,et al. Quantitative approaches to computational vaccinology , 2002, Immunology and cell biology.
[79] Paul C. Rogers,et al. From Naive to Memory T Cells , 1996, Immunological reviews.
[80] P. Travers,et al. N‐terminal elongation of a peptide determinant beyond the first primary anchor improves binding to H‐2 I‐Ad and HLA‐DR1 by backbone‐dependent and aromatic side chain‐dependent interactions, respectively , 1999, European journal of immunology.
[81] Stanislav Y Shvartsman,et al. Computational analysis of EGFR inhibition by Argos. , 2005, Developmental biology.
[82] Xiao-Li Meng,et al. Comparing correlated correlation coefficients , 1992 .
[83] W. Rom,et al. Increased release of interleukin-1 beta, interleukin-6, and tumor necrosis factor-alpha by bronchoalveolar cells lavaged from involved sites in pulmonary tuberculosis. , 1996, American journal of respiratory and critical care medicine.
[84] R. R. Mallios,et al. Class II MHC quantitative binding motifs derived from a large molecular database with a versatile iterative stepwise discriminant analysis meta- algorithm , 1999, Bioinform..
[85] J. Sprent,et al. Circulating T and B lymphocytes of the mouse. I. Migratory properties. , 1973, Cellular immunology.
[86] B. Palmer,et al. Influence of plasma viremia on defects in number and immunophenotype of blood dendritic cell subsets in human immunodeficiency virus 1-infected individuals. , 2003, The Journal of infectious diseases.
[87] J. Jacquez. Compartmental analysis in biology and medicine , 1985 .
[88] C. Harding,et al. Prolonged Toll-Like Receptor Signaling by Mycobacterium tuberculosis and Its 19-Kilodalton Lipoprotein Inhibits Gamma Interferon-Induced Regulation of Selected Genes in Macrophages , 2004, Infection and Immunity.
[89] Arne Elofsson,et al. Prediction of MHC class I binding peptides, using SVMHC , 2002, BMC Bioinformatics.
[90] D. Purdie. Statistical Methods in Medical Research, 4th edn , 2003 .
[91] Vladimir Brusic,et al. Computational methods for prediction of T-cell epitopes--a framework for modelling, testing, and applications. , 2004, Methods.
[92] H. Rammensee,et al. Chemistry of peptides associated with MHC class I and class II molecules. , 1995, Current opinion in immunology.
[93] S Brunak,et al. Sensitive quantitative predictions of peptide-MHC binding by a 'Query by Committee' artificial neural network approach. , 2003, Tissue antigens.
[94] James P. Keener,et al. Mathematical physiology , 1998 .
[95] Glenn F. Webb,et al. Model of HIV-1 disease progression based on virus-induced lymph node homing and homing-induced apoptosis of CD4+ lymphocytes. , 2000 .
[96] H. Grey,et al. Structural analysis of peptides capable of binding to more than one Ia antigen. , 1989, Journal of immunology.
[97] Makiko Nakayama. When in context , 2008 .
[98] Stephen Shaw,et al. Cords, channels, corridors and conduits: critical architectural elements facilitating cell interactions in the lymph node cortex , 1997, Immunological reviews.
[99] Sumati Rajagopalan,et al. Understanding how combinations of HLA and KIR genes influence disease , 2005, The Journal of experimental medicine.
[100] Shayn M Peirce,et al. Microvascular Remodeling: A Complex Continuum Spanning Angiogenesis to Arteriogenesis , 2003, Microcirculation.
[101] O. Michielin,et al. Structural prediction of peptides bound to MHC class I. , 2006, Journal of molecular biology.
[102] M. Burdick,et al. Recruitment of inflammatory cells to the pleural space. Chemotactic cytokines, IL-8, and monocyte chemotactic peptide-1 in human pleural fluids. , 1993, Journal of immunology.
[103] Denise Kirschner,et al. Dynamics of naive and memory CD4+ T lymphocytes in HIV-1 disease progression. , 2002, Journal of acquired immune deficiency syndromes.
[104] Lee A. Segel,et al. Modeling Dynamic Phenomena in Molecular and Cellular Biology , 1984 .
[105] C. Harding,et al. Inhibition of Major Histocompatibility Complex II Expression and Antigen Processing in Murine Alveolar Macrophages by Mycobacterium bovis BCG and the 19-Kilodalton Mycobacterial Lipoprotein , 2004, Infection and Immunity.
[106] H. Grey,et al. The minimal number of antigen‐major histocompatibility complex class II complexes required for activation of naive and primed T cells , 1997, European journal of immunology.
[107] R. R. Mallios,et al. Predicting class II MHC/peptide multi-level binding with an iterative stepwise discriminant analysis meta-algorithm , 2001, Bioinform..
[108] D. Kirschner,et al. The human immune response to Mycobacterium tuberculosis in lung and lymph node. , 2004, Journal of theoretical biology.
[109] D. Vlachos. A Review of Multiscale Analysis: Examples from Systems Biology, Materials Engineering, and Other Fluid–Surface Interacting Systems , 2005 .
[110] D. DeAngelis,et al. Individual-Based Models and Approaches in Ecology , 1992 .
[111] Sonya J Snedecor,et al. Comparison of three kinetic models of HIV-1 infection: implications for optimization of treatment. , 2003, Journal of theoretical biology.
[112] G. Huse. Individual‐based Modeling and Ecology , 2008 .
[113] V. Brusic,et al. Neural network-based prediction of candidate T-cell epitopes , 1998, Nature Biotechnology.
[114] R N Cahill,et al. The effects of antigen on the migration of recirculating lymphocytes through single lymph nodes , 1976, The Journal of experimental medicine.
[115] Tamara L. Kinzer-Ursem,et al. Receptor binding kinetics and cellular responses of six N-formyl peptide agonists in human neutrophils. , 2004, Biochemistry.
[116] M. Dorf,et al. Differential Roles of CC Chemokine Ligand 2/Monocyte Chemotactic Protein-1 and CCR2 in the Development of T1 Immunity1 , 2002, The Journal of Immunology.
[117] Ronna R Mallios,et al. A consensus strategy for combining HLA-DR binding algorithms. , 2003, Human immunology.
[118] Y. Cheng,et al. Relationship between the inhibition constant (K1) and the concentration of inhibitor which causes 50 per cent inhibition (I50) of an enzymatic reaction. , 1973, Biochemical pharmacology.
[119] Kun Yu,et al. Methods for Prediction of Peptide Binding to MHC Molecules: A Comparative Study , 2002, Molecular medicine.
[120] C. Harding,et al. Mycobacterium tuberculosis inhibits MHC class II antigen processing in murine bone marrow macrophages. , 1998, Cellular immunology.
[121] Channa K. Hattotuwagama,et al. AntiJen: a quantitative immunology database integrating functional, thermodynamic, kinetic, biophysical, and cellular data , 2005, Immunome research.
[122] K. Wiesmüller,et al. Quantitative analysis of peptide-MHC class II interaction. , 1999, Seminars in immunology.
[123] Gajendra P. S. Raghava,et al. MHCBN: a comprehensive database of MHC binding and non-binding peptides , 2003, Bioinform..
[124] O. Schueler‐Furman,et al. Structure‐based prediction of binding peptides to MHC class I molecules: Application to a broad range of MHC alleles , 2000, Protein science : a publication of the Protein Society.
[125] J. Linderman,et al. The relationship between antigen concentration, antigen internalization, and antigenic complexes: modeling insights into antigen processing and presentation , 1990, The Journal of cell biology.
[126] A. Khoruts,et al. Visualizing the generation of memory CD4 T cells in the whole body , 2001, Nature.
[127] Ulrich H. von Andrian,et al. Homing and cellular traffic in lymph nodes , 2003, Nature Reviews Immunology.
[128] A. Jevnikar,et al. The relationship between predicted peptide–MHC class II affinity and T-cell activation in a HLA-DRβ1*0401 transgenic mouse model , 2002, Arthritis research & therapy.
[129] L. Atlas,et al. Multiscale Modeling of Cardiac Cellular Energetics , 2005, Annals of the New York Academy of Sciences.
[130] R. Germain,et al. Dynamic Imaging of T Cell-Dendritic Cell Interactions in Lymph Nodes , 2002, Science.
[131] F. Brauer,et al. Mathematical Models in Population Biology and Epidemiology , 2001 .
[132] Ronald N Germain,et al. Stromal cell networks regulate lymphocyte entry, migration, and territoriality in lymph nodes. , 2006, Immunity.
[133] H. Ploegh,et al. Class II MHC peptide loading by the professionals. , 2004, Current opinion in immunology.
[134] Yang Dai,et al. Prediction of MHC class II binding peptides based on an iterative learning model , 2005, Immunome research.
[135] Nicholas A. Peppas,et al. Receptors: models for binding, trafficking, and signaling , 1996 .
[136] Ana Cumano,et al. A Clonogenic Bone Marrow Progenitor Specific for Macrophages and Dendritic Cells , 2006, Science.
[137] V L Roggli,et al. Cell number and distribution in human and rat airways. , 1994, American journal of respiratory cell and molecular biology.
[138] P. Cresswell,et al. HLA-DM induces clip dissociation from MHC class II αβ dimers and facilitates peptide loading , 1995, Cell.
[139] Jotun Hein,et al. Statistical Methods in Bioinformatics: An Introduction , 2002 .
[140] S. Glotzer,et al. Molecular and Mesoscale Simulation Methods for Polymer Materials , 2002 .
[141] A. Vitiello,et al. The relationship between class I binding affinity and immunogenicity of potential cytotoxic T cell epitopes. , 1994, Journal of immunology.
[142] R. Steinman,et al. High Levels of a Major Histocompatibility Complex II–Self Peptide Complex on Dendritic Cells from the T Cell Areas of Lymph Nodes , 1997, The Journal of experimental medicine.
[143] William Arbuthnot Sir Lane,et al. Specificity and promiscuity among naturally processed peptides bound to HLA-DR alleles , 1993, The Journal of experimental medicine.
[144] A. Palucka,et al. TNF Skews Monocyte Differentiation from Macrophages to Dendritic Cells 1 , 2003, The Journal of Immunology.
[145] R. Sékaly,et al. Delayed expansion of a restricted T cell repertoire by low-density TCR ligands. , 2005, International immunology.
[146] Yingdong Zhao,et al. Application of support vector machines for T-cell epitopes prediction , 2003, Bioinform..
[147] Lee A. Segel. Mathematical Models in Biology (Leah Edelstein-Keshet) , 1988 .
[148] C. Harding,et al. The Mycobacterium tuberculosis 19-Kilodalton Lipoprotein Inhibits Gamma Interferon-Regulated HLA-DR and FcγR1 on Human Macrophages through Toll-Like Receptor 2 , 2003, Infection and Immunity.
[149] C. Mims. The pathogenesis of infectious disease. , 1976 .
[150] Yoonsuck Choe,et al. The role of temporal parameters in a thalamocortical model of analogy , 2004, IEEE Transactions on Neural Networks.
[151] C. Harding,et al. Regulation of Class II MHC Expression in APCs: Roles of Types I, III, and IV Class II Transactivator1 , 2002, The Journal of Immunology.
[152] Michael Breakspear,et al. Dynamics of a neural system with a multiscale architecture , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.
[153] Arup K Chakraborty,et al. The Immunological Synapse Balances T Cell Receptor Signaling and Degradation , 2003, Science.
[154] Hadi Dowlatabadi,et al. Sensitivity and Uncertainty Analysis of Complex Models of Disease Transmission: an HIV Model, as an Example , 1994 .
[155] D Rognan,et al. Use of fluorescence polarization to monitor MHC-peptide interactions in solution. , 2001, Journal of immunological methods.
[156] A. Haase,et al. Population biology of HIV-1 infection: viral and CD4+ T cell demographics and dynamics in lymphatic tissues. , 1999, Annual review of immunology.
[157] Marc K Jenkins,et al. Visualizing the first 50 hr of the primary immune response to a soluble antigen. , 2004, Immunity.
[158] F. Cardinaux,et al. In vivo competition between self peptides and foreign antigens in T-cell activation , 1988, Nature.
[159] U. Hobohm,et al. Selection of representative protein data sets , 1992, Protein science : a publication of the Protein Society.
[160] Thomas A Neubert,et al. Could TCR antagonism explain associations between MHC genes and disease? , 2003, Trends in molecular medicine.
[161] C Danieli,et al. Dendritic cells use macropinocytosis and the mannose receptor to concentrate macromolecules in the major histocompatibility complex class II compartment: downregulation by cytokines and bacterial products , 1995, The Journal of experimental medicine.
[162] Michael D. Cahalan,et al. Imaging the Single Cell Dynamics of CD4+ T Cell Activation by Dendritic Cells in Lymph Nodes , 2004, The Journal of experimental medicine.
[163] Denise Kirschner,et al. A Model to Predict Cell-Mediated Immune Regulatory Mechanisms During Human Infection with Mycobacterium tuberculosis1 , 2001, The Journal of Immunology.
[164] E. Thorsby,et al. HLA associated genetic predisposition to autoimmune diseases: Genes involved and possible mechanisms. , 2005, Transplant immunology.
[165] B. Chain,et al. Improvement of the in vitro T cell proliferation assay by a modified method that separates the antigen recognition and IL-2-dependent steps. , 1987, Journal of immunological methods.
[166] D. Lauffenburger,et al. Receptors: Models for Binding, Trafficking, and Signaling , 1993 .
[167] P. Haccou. Mathematical Models of Biology , 2022 .
[168] Vladimir Brusic,et al. Virtual models of the HLA class I antigen processing pathway. , 2004, Methods.
[169] Irini A. Doytchinova,et al. Towards the in silico identification of class II restricted T-cell epitopes: a partial least squares iterative self-consistent algorithm for affinity prediction , 2003, Bioinform..
[170] R Pabst,et al. HIV-induced decline in blood CD4/CD8 ratios: viral killing or altered lymphocyte trafficking? , 1998, Immunology today.
[171] Morten Nielsen,et al. Immunological bioinformatics , 2005, Computational molecular biology.
[172] J. Skolnick,et al. Application of an artificial neural network to predict specific class I MHC binding peptide sequences , 1998, Nature Biotechnology.
[173] Denise E Kirschner,et al. Multiple mechanisms allow Mycobacterium tuberculosis to continuously inhibit MHC class II-mediated antigen presentation by macrophages. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[174] H. Bui,et al. Structural prediction of peptides binding to MHC class I molecules , 2006, Proteins.
[175] J. Linderman,et al. Antigen processing and presentation: how can a foreign antigen be recognized in a sea of self proteins? , 1991, Journal of theoretical biology.
[176] N. Reiner,et al. Attenuation of HLA-DR expression by mononuclear phagocytes infected with Mycobacterium tuberculosis is related to intracellular sequestration of immature class II heterodimers. , 1998, Journal of immunology.