The breadth of HIV-1 neutralizing antibodies depends on the conservation of key sites in their epitopes
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Yifan Li | Morgane Rolland | Hongjun Bai | Nelson L Michael | Merlin L Robb | Hongjun Bai | M. Robb | N. Michael | M. Rolland | Yifan Li
[1] L. Morris,et al. The Antibody Response against HIV-1. , 2012, Cold Spring Harbor perspectives in medicine.
[2] John R Mascola,et al. Antibody responses to envelope glycoproteins in HIV-1 infection , 2015, Nature Immunology.
[3] A. Trkola,et al. Determinants of HIV-1 broadly neutralizing antibody induction , 2016, Nature Medicine.
[4] Yong Gao,et al. Development of an anti-HIV vaccine eliciting broadly neutralizing antibodies , 2017, AIDS Research and Therapy.
[5] Sang Joon Kim,et al. A Mathematical Theory of Communication , 2006 .
[6] P. Kwong,et al. How HIV-1 entry mechanism and broadly neutralizing antibodies guide structure-based vaccine design , 2017, Current opinion in HIV and AIDS.
[7] Young Do Kwon,et al. Maturation and Diversity of the VRC01-Antibody Lineage over 15 Years of Chronic HIV-1 Infection , 2015, Cell.
[8] Bartek Wilczynski,et al. Biopython: freely available Python tools for computational molecular biology and bioinformatics , 2009, Bioinform..
[9] B. Haynes,et al. Aiming to induce broadly reactive neutralizing antibody responses with HIV-1 vaccine candidates , 2006, Expert review of vaccines.
[10] Lynn Morris,et al. Evolution of an HIV glycan–dependent broadly neutralizing antibody epitope through immune escape , 2012, Nature Medicine.
[11] Lynn Morris,et al. Mapping Polyclonal HIV-1 Antibody Responses via Next-Generation Neutralization Fingerprinting , 2017, PLoS pathogens.
[12] Oliver Beckstein,et al. MDAnalysis: A Python Package for the Rapid Analysis of Molecular Dynamics Simulations , 2016, SciPy.
[13] Feng Gao,et al. Polyclonal B Cell Responses to Conserved Neutralization Epitopes in a Subset of HIV-1-Infected Individuals , 2011, Journal of Virology.
[14] Lynn Morris,et al. Profiling the Specificity of Neutralizing Antibodies in a Large Panel of Plasmas from Patients Chronically Infected with Human Immunodeficiency Virus Type 1 Subtypes B and C , 2008, Journal of Virology.
[15] B. Haynes,et al. Developing an HIV vaccine , 2017, Science.
[16] B. Haynes. New approaches to HIV vaccine development. , 2015, Current opinion in immunology.
[17] Chaim A. Schramm,et al. Co-evolution of a broadly neutralizing HIV-1 antibody and founder virus , 2013, Nature.
[18] S. Swaminathan,et al. Broad and potent cross clade neutralizing antibodies with multiple specificities in the plasma of HIV-1 subtype C infected individuals , 2017, Scientific Reports.
[19] Martin A. Nowak,et al. Antibody neutralization and escape by HIV-1 , 2003, Nature.
[20] B. Lee,et al. The interpretation of protein structures: estimation of static accessibility. , 1971, Journal of molecular biology.
[21] T. N. Bhat,et al. The Protein Data Bank , 2000, Nucleic Acids Res..
[22] David P. Dobkin,et al. The quickhull algorithm for convex hulls , 1996, TOMS.
[23] Michael L. Waskom,et al. mwaskom/seaborn: v0.9.0 (July 2018) , 2018 .
[24] M. Altfeld,et al. Characteristics of the Earliest Cross-Neutralizing Antibody Response to HIV-1 , 2011, PLoS pathogens.
[25] B. Korber,et al. Prevalence of broadly neutralizing antibody responses during chronic HIV-1 infection , 2014, AIDS.
[26] et al.,et al. Jupyter Notebooks - a publishing format for reproducible computational workflows , 2016, ELPUB.
[27] Anders Larsson,et al. AliView: a fast and lightweight alignment viewer and editor for large datasets , 2014, Bioinform..
[28] J. Mascola,et al. HIV-1 Vaccines Based on Antibody Identification, B Cell Ontogeny, and Epitope Structure. , 2018, Immunity.
[29] Oliver Beckstein,et al. MDAnalysis: A toolkit for the analysis of molecular dynamics simulations , 2011, J. Comput. Chem..
[30] Skipper Seabold,et al. Statsmodels: Econometric and Statistical Modeling with Python , 2010, SciPy.
[31] Ben Murrell,et al. Broadly Neutralizing Antibody Responses in a Large Longitudinal Sub-Saharan HIV Primary Infection Cohort , 2016, PLoS pathogens.
[32] Peter M. Kasson,et al. GROMACS 4.5: a high-throughput and highly parallel open source molecular simulation toolkit , 2013, Bioinform..
[33] K. Katoh,et al. MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability , 2013, Molecular biology and evolution.
[34] Dennis R Burton,et al. Broadly Neutralizing Antibodies to HIV and Their Role in Vaccine Design. , 2016, Annual review of immunology.
[35] S. Henikoff,et al. Amino acid substitution matrices from protein blocks. , 1992, Proceedings of the National Academy of Sciences of the United States of America.
[36] Eric Jones,et al. SciPy: Open Source Scientific Tools for Python , 2001 .
[37] P. Ghys,et al. Global trends in molecular epidemiology of HIV-1 during 2000–2007 , 2011, AIDS.
[38] Hans-Peter Kriegel,et al. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.
[39] Cinque S. Soto,et al. Quantification of the Impact of the HIV-1-Glycan Shield on Antibody Elicitation. , 2017, Cell reports.
[40] Mario Roederer,et al. Rational Design of Envelope Identifies Broadly Neutralizing Human Monoclonal Antibodies to HIV-1 , 2010, Science.
[41] Young Do Kwon,et al. Trimeric HIV-1-Env Structures Define Glycan Shields from Clades A, B, and G , 2016, Cell.
[42] A. Shrake,et al. Environment and exposure to solvent of protein atoms. Lysozyme and insulin. , 1973, Journal of molecular biology.
[43] Bernard Manderick,et al. PDB file parser and structure class implemented in Python , 2003, Bioinform..
[44] John D. Hunter,et al. Matplotlib: A 2D Graphics Environment , 2007, Computing in Science & Engineering.
[45] R. Spang,et al. Estimating amino acid substitution models: a comparison of Dayhoff's estimator, the resolvent approach and a maximum likelihood method. , 2002, Molecular biology and evolution.
[46] P. Goulder,et al. HIV-1 Subtype C-Infected Children with Exceptional Neutralization Breadth Exhibit Polyclonal Responses Targeting Known Epitopes , 2018, Journal of Virology.
[47] B. Haynes,et al. Glycoengineering HIV-1 Env creates ‘supercharged’ and ‘hybrid’ glycans to increase neutralizing antibody potency, breadth and saturation , 2018, PLoS pathogens.