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Silberstein JL, Du J, Chan KW, Frank JA, Mathews II, Kim YB, You J, Lu Q, Liu J, Philips EA, Liu P, Rao E, Fernandez D, Rodriguez GE, Kong XP, Wang J, Cochran JR. Structural insights reveal interplay between LAG-3 homodimerization, ligand binding, and function. Proc Natl Acad Sci U S A 2024; 121:e2310866121. [PMID: 38483996 PMCID: PMC10962948 DOI: 10.1073/pnas.2310866121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 01/02/2024] [Indexed: 03/19/2024] Open
Abstract
Lymphocyte activation gene-3 (LAG-3) is an inhibitory receptor expressed on activated T cells and an emerging immunotherapy target. Domain 1 (D1) of LAG-3, which has been purported to directly interact with major histocompatibility complex class II (MHCII) and fibrinogen-like protein 1 (FGL1), has been the major focus for the development of therapeutic antibodies that inhibit LAG-3 receptor-ligand interactions and restore T cell function. Here, we present a high-resolution structure of glycosylated mouse LAG-3 ectodomain, identifying that cis-homodimerization, mediated through a network of hydrophobic residues within domain 2 (D2), is critically required for LAG-3 function. Additionally, we found a previously unidentified key protein-glycan interaction in the dimer interface that affects the spatial orientation of the neighboring D1 domain. Mutation of LAG-3 D2 residues reduced dimer formation, dramatically abolished LAG-3 binding to both MHCII and FGL1 ligands, and consequentially inhibited the role of LAG-3 in suppressing T cell responses. Intriguingly, we showed that antibodies directed against D1, D2, and D3 domains are all capable of blocking LAG-3 dimer formation and MHCII and FGL-1 ligand binding, suggesting a potential allosteric model of LAG-3 function tightly regulated by dimerization. Furthermore, our work reveals unique epitopes, in addition to D1, that can be targeted for immunotherapy of cancer and other human diseases.
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Affiliation(s)
- John L. Silberstein
- Program in Immunology, Stanford University School of Medicine, Stanford, CA94305
- Department of Bioengineering, Stanford University, Stanford, CA94305
| | - Jasper Du
- Department of Pathology, New York University Grossman School of Medicine, New York, NY10016
| | - Kun-Wei Chan
- Department of Biochemistry and Molecular Pharmacology, New York University Grossman School of Medicine, New York, NY10016
| | - Jessica A. Frank
- Department of Bioengineering, Stanford University, Stanford, CA94305
| | - Irimpan I. Mathews
- SLAC National Accelerator Laboratory, Stanford Synchrotron Radiation Lightsource, Menlo Park, CA94025
| | - Yong Bin Kim
- Department of Bioengineering, Stanford University, Stanford, CA94305
- Department of Chemical Engineering, Stanford University, Stanford, CA 94305
| | - Jia You
- Department of Pathology, New York University Grossman School of Medicine, New York, NY10016
| | - Qiao Lu
- Department of Pathology, New York University Grossman School of Medicine, New York, NY10016
| | - Jia Liu
- Department of Pathology, New York University Grossman School of Medicine, New York, NY10016
| | - Elliot A. Philips
- Department of Biochemistry and Molecular Pharmacology, New York University Grossman School of Medicine, New York, NY10016
| | - Phillip Liu
- Department of Bioengineering, Stanford University, Stanford, CA94305
- Program in Biophysics, Stanford University School of Medicine, Stanford, CA94305
| | - Eric Rao
- Department of Pathology, New York University Grossman School of Medicine, New York, NY10016
| | - Daniel Fernandez
- Macromolecular Structure Knowledge Center, Stanford Sarafan ChEM-H Institute, Stanford, CA94305
| | - Grayson E. Rodriguez
- Program in Immunology, Stanford University School of Medicine, Stanford, CA94305
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA94305
| | - Xiang-Peng Kong
- Department of Biochemistry and Molecular Pharmacology, New York University Grossman School of Medicine, New York, NY10016
| | - Jun Wang
- Department of Pathology, New York University Grossman School of Medicine, New York, NY10016
- The Laura and Isaac Perlmutter Cancer Center, New York University Langone Health, New York, NY10016
| | - Jennifer R. Cochran
- Program in Immunology, Stanford University School of Medicine, Stanford, CA94305
- Department of Bioengineering, Stanford University, Stanford, CA94305
- Department of Chemical Engineering, Stanford University, Stanford, CA 94305
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2
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Shrock EL, Timms RT, Kula T, Mena EL, West AP, Guo R, Lee IH, Cohen AA, McKay LGA, Bi C, Keerti, Leng Y, Fujimura E, Horns F, Li M, Wesemann DR, Griffiths A, Gewurz BE, Bjorkman PJ, Elledge SJ. Germline-encoded amino acid-binding motifs drive immunodominant public antibody responses. Science 2023; 380:eadc9498. [PMID: 37023193 PMCID: PMC10273302 DOI: 10.1126/science.adc9498] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 03/03/2023] [Indexed: 04/08/2023]
Abstract
Despite the vast diversity of the antibody repertoire, infected individuals often mount antibody responses to precisely the same epitopes within antigens. The immunological mechanisms underpinning this phenomenon remain unknown. By mapping 376 immunodominant "public epitopes" at high resolution and characterizing several of their cognate antibodies, we concluded that germline-encoded sequences in antibodies drive recurrent recognition. Systematic analysis of antibody-antigen structures uncovered 18 human and 21 partially overlapping mouse germline-encoded amino acid-binding (GRAB) motifs within heavy and light V gene segments that in case studies proved critical for public epitope recognition. GRAB motifs represent a fundamental component of the immune system's architecture that promotes recognition of pathogens and leads to species-specific public antibody responses that can exert selective pressure on pathogens.
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Affiliation(s)
- Ellen L. Shrock
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Program in Biological and Biomedical Sciences, Harvard University, Boston, MA 02115, USA
| | - Richard T. Timms
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, Jeffrey Cheah Biomedical Centre, Cambridge Biomedical Campus, University of Cambridge, Cambridge, UK
| | - Tomasz Kula
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Program in Biological and Biomedical Sciences, Harvard University, Boston, MA 02115, USA
- Present address: Society of Fellows, Harvard University, Cambridge, MA 02138, USA
| | - Elijah L. Mena
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Anthony P. West
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Rui Guo
- Division of Infectious Disease, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Microbiology, Harvard Medical School, Boston, MA 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
| | - I-Hsiu Lee
- Center for Systems Biology, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Alexander A. Cohen
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Lindsay G. A. McKay
- National Emerging Infectious Diseases Laboratories, Boston University School of Medicine, Boston University, Boston, MA 02118, USA
| | - Caihong Bi
- Division of Allergy and Immunology, Division of Genetics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Massachusetts Consortium on Pathogen Readiness, Boston, MA 02115, USA
| | - Keerti
- Division of Allergy and Immunology, Division of Genetics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Massachusetts Consortium on Pathogen Readiness, Boston, MA 02115, USA
| | - Yumei Leng
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Eric Fujimura
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Felix Horns
- Department of Bioengineering, Department of Applied Physics, Chan Zuckerberg Biohub and Stanford University, Stanford, CA 94305, USA
| | - Mamie Li
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Duane R. Wesemann
- Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
- Division of Allergy and Immunology, Division of Genetics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Massachusetts Consortium on Pathogen Readiness, Boston, MA 02115, USA
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, 02139 USA
| | - Anthony Griffiths
- National Emerging Infectious Diseases Laboratories, Boston University School of Medicine, Boston University, Boston, MA 02118, USA
| | - Benjamin E. Gewurz
- Division of Infectious Disease, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Microbiology, Harvard Medical School, Boston, MA 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
- Graduate Program in Virology, Division of Medical Sciences, Harvard Medical School, Boston, MA 02115, USA
| | - Pamela J. Bjorkman
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Stephen J. Elledge
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women’s Hospital, Boston, MA 02115, USA
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3
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Dănăilă VR, Avram S, Buiu C. The applications of machine learning in HIV neutralizing antibodies research-A systematic review. Artif Intell Med 2022; 134:102429. [PMID: 36462896 DOI: 10.1016/j.artmed.2022.102429] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 09/03/2022] [Accepted: 10/13/2022] [Indexed: 12/14/2022]
Abstract
Machine learning algorithms play an essential role in bioinformatics and allow exploring the vast and noisy biological data in unrivaled ways. This paper is a systematic review of the applications of machine learning in the study of HIV neutralizing antibodies. This significant and vast research domain can pave the way to novel treatments and to a vaccine. We selected the relevant papers by investigating the available literature from the Web of Science and PubMed databases in the last decade. The computational methods are applied in neutralization potency prediction, neutralization span prediction against multiple viral strains, antibody-virus binding sites detection, enhanced antibodies design, and the study of the antibody-induced immune response. These methods are viewed from multiple angles spanning data processing, model description, feature selection, evaluation, and sometimes paper comparisons. The algorithms are diverse and include supervised, unsupervised, and generative types. Both classical machine learning and modern deep learning were taken into account. The review ends with our ideas regarding future research directions and challenges.
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Affiliation(s)
- Vlad-Rareş Dănăilă
- Department of Automatic Control and Systems Engineering, Politehnica University of Bucharest, 313 Splaiul Independenţei, Bucharest 060042, Romania.
| | - Speranţa Avram
- Department of Anatomy, Animal Physiology and Biophysics, Faculty of Biology, University of Bucharest, 91-95 Splaiul Independentei, Bucharest 050095, Romania.
| | - Cătălin Buiu
- Department of Automatic Control and Systems Engineering, Politehnica University of Bucharest, 313 Splaiul Independenţei, Bucharest 060042, Romania.
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Chan KW, Luo CC, Lu H, Wu X, Kong XP. A site of vulnerability at V3 crown defined by HIV-1 bNAb M4008_N1. Nat Commun 2021; 12:6464. [PMID: 34753944 PMCID: PMC8578649 DOI: 10.1038/s41467-021-26846-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 10/18/2021] [Indexed: 11/09/2022] Open
Abstract
Identification of vulnerable sites defined by broadly neutralizing antibodies (bNAbs) on HIV-1 envelope (Env) is crucial for vaccine design, and we present here a vulnerable site defined by bNAb M4008_N1, which neutralizes about 40% of a tier-2 virus panel. A 3.2 Å resolution cryo-EM structure of M4008_N1 in complex with BG505 DS-SOSIP reveals a large, shallow protein epitope surface centered at the V3 crown of gp120 and surrounded by key glycans. M4008_N1 interacts with gp120 primarily through its hammerhead CDR H3 to form a β-sheet interaction with the V3 crown hairpin. This makes M4008_N1 compatible with the closed conformation of the prefusion Env trimer, and thus distinct from other known V3 crown mAbs. This mode of bNAb approaching the immunogenic V3 crown in the native Env trimer suggests a strategy for immunogen design targeting this site of vulnerability. Mapping of the HIV Env surface epitopes targeted by broadly neutralizing antibodies (bNAbs) is of great interest for HIV-1 vaccine design. Here, the authors present the 3.2 Å cryo-EM structure of the bNAb M4008_N1 in complex with BG505 DS-SOSIP, an engineered native-like Env trimer and observe that the bNAb epitope is centered at the V3 crown and that M4008_N1 uses its CDR H3 to form an extended β-sheet with the β-hairpin of the V3 crown in a conformation stabilized in the prefusion trimer.
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Affiliation(s)
- Kun-Wei Chan
- Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY, 10016, USA
| | - Christina C Luo
- Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY, 10016, USA
| | - Hong Lu
- Aaron Diamond AIDS Research Center, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, 10032, USA
| | - Xueling Wu
- Aaron Diamond AIDS Research Center, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, 10032, USA
| | - Xiang-Peng Kong
- Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY, 10016, USA.
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5
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Li L, Wang XH, Nanfack A, Kong XP, Gorny MK. The light chain of antibodies specific to the V2 region of HIV-1 can determine their function. Hum Immunol 2021; 82:923-929. [PMID: 34340867 DOI: 10.1016/j.humimm.2021.05.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 05/05/2021] [Accepted: 05/12/2021] [Indexed: 11/18/2022]
Abstract
We studied the contribution of the light chain to functions of human monoclonal antibodies (mAbs) by measuring the relationships between the rate of mutations and cross-reactivity, binding affinity and neutralization activity. We analyzed 12 mAbs of two clonal families specific to the V2 region of HIV-1 derived from two chronically HIV-1 infected individuals. The clonal mAbs exhibited a range of reactivities, and the clones with superior properties were associated with the rate of mutations and the presence of particular mutated residues in the light chains, but not in the heavy chains. Our observations suggest that for some antibodies, the light chains play a vital role in antibody evolution toward more efficient ones and also suggest the importance of optimal residues rather than the rate of mutations in the variable fragment of the antibody.
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Affiliation(s)
- Liuzhe Li
- Department of Pathology, New York University School of Medicine, New York, NY, USA; Veterans Affairs New York Harbor Healthcare System, New York, NY, USA.
| | - Xiao-Hong Wang
- Veterans Affairs New York Harbor Healthcare System, New York, NY, USA
| | - Aubin Nanfack
- Medical Diagnostic Center (MDC), Yaoundé, Cameroon; Chantal Biya International Reference Centre for Research on HIV/AIDS Prevention and Management, Yaoundé, Cameroon
| | - Xiang-Peng Kong
- Department of Biochemistry & Molecular Pharmacology, New York University School of Medicine, New York, NY, USA
| | - Miroslaw K Gorny
- Department of Pathology, New York University School of Medicine, New York, NY, USA.
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6
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Jia M, Liberatore RA, Guo Y, Chan KW, Pan R, Lu H, Waltari E, Mittler E, Chandran K, Finzi A, Kaufmann DE, Seaman MS, Ho DD, Shapiro L, Sheng Z, Kong XP, Bieniasz PD, Wu X. VSV-Displayed HIV-1 Envelope Identifies Broadly Neutralizing Antibodies Class-Switched to IgG and IgA. Cell Host Microbe 2020; 27:963-975.e5. [PMID: 32315598 PMCID: PMC7294236 DOI: 10.1016/j.chom.2020.03.024] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Revised: 02/27/2020] [Accepted: 03/26/2020] [Indexed: 12/25/2022]
Abstract
The HIV-1 envelope (Env) undergoes conformational changes during infection. Broadly neutralizing antibodies (bNAbs) are typically isolated by using soluble Env trimers, which do not capture all Env states. To address these limitations, we devised a vesicular stomatitis virus (VSV)-based probe to display membrane-embedded Env trimers and isolated five bNAbs from two chronically infected donors, M4008 and M1214. Donor B cell receptor (BCR) repertoires identified two bNAb lineages, M4008_N1 and M1214_N1, that class-switched to immunoglobulin G (IgG) and IgA. Variants of these bNAbs reconstituted as IgA demonstrated broadly neutralizing activity, and the IgA fraction of M1214 plasma conferred neutralization. M4008_N1 epitope mapping revealed a glycan-independent V3 epitope conferring tier 2 virus neutralization. A 4.86-Å-resolution cryogenic electron microscopy (cryo-EM) structure of M1214_N1 complexed with CH505 SOSIP revealed another elongated epitope, the V2V5 corridor, extending from V2 to V5. Overall, the VSVENV probe identified bNAb lineages with neutralizing IgG and IgA members targeting distinct sites of HIV-1 Env vulnerability. VSV-displayed HIV-1 envelope trimers identified five HIV-1 bNAbs BCR repertoires identified two bNAb lineages class-switched to both IgG and IgA The V3 crown-targeting bNAb M4008_N1 conferred tier 2 virus neutralization Cryo-EM structure of bNAb M1214_N1 with CH505 SOSIP defined a V2V5 corridor epitope
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Affiliation(s)
- Manxue Jia
- Aaron Diamond AIDS Research Center, Affiliate of The Rockefeller University, New York, NY 10016, USA
| | - Rachel A Liberatore
- Laboratory of Retrovirology, The Rockefeller University, New York, NY 10065, USA; Howard Hughes Medical Institute, New York, NY 10016, USA
| | - Yicheng Guo
- Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA
| | - Kun-Wei Chan
- Department of Biochemistry and Molecular Pharmacology, New York University School of Medicine, New York, NY 10016, USA
| | - Ruimin Pan
- Department of Biochemistry and Molecular Pharmacology, New York University School of Medicine, New York, NY 10016, USA
| | - Hong Lu
- Aaron Diamond AIDS Research Center, Affiliate of The Rockefeller University, New York, NY 10016, USA
| | - Eric Waltari
- Aaron Diamond AIDS Research Center, Affiliate of The Rockefeller University, New York, NY 10016, USA
| | - Eva Mittler
- Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Kartik Chandran
- Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Andrés Finzi
- Centre de Recherche du CHUM and Université de Montréal, Montreal, QC H2X 0A9, Canada
| | - Daniel E Kaufmann
- Centre de Recherche du CHUM and Université de Montréal, Montreal, QC H2X 0A9, Canada; Center for HIV-1/AIDS Vaccine Immunology and Immunogen Discovery (CHAVI-ID), La Jolla, CA 92037, USA
| | - Michael S Seaman
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, USA
| | - David D Ho
- Aaron Diamond AIDS Research Center, Affiliate of The Rockefeller University, New York, NY 10016, USA
| | - Lawrence Shapiro
- Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA; Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA; Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Zizhang Sheng
- Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA
| | - Xiang-Peng Kong
- Department of Biochemistry and Molecular Pharmacology, New York University School of Medicine, New York, NY 10016, USA
| | - Paul D Bieniasz
- Laboratory of Retrovirology, The Rockefeller University, New York, NY 10065, USA; Howard Hughes Medical Institute, New York, NY 10016, USA
| | - Xueling Wu
- Aaron Diamond AIDS Research Center, Affiliate of The Rockefeller University, New York, NY 10016, USA.
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Kaku Y, Kuwata T, Gorny MK, Matsushita S. Prediction of Contact Residues in Anti-HIV Neutralizing Antibody by Deep Learning. Jpn J Infect Dis 2020; 73:235-241. [PMID: 32009060 DOI: 10.7883/yoken.jjid.2019.496] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The monoclonal antibody 1C10 targets the V3 loop of HIV-1 and neutralizes a broad range of clade B viruses. However, the mode of interaction between 1C10 and the V3 loop remains unclear because crystallization of 1C10 and the V3 peptide was unsuccessful due to the flexible regions present in both 1C10 and the V3 peptide. In this study, we predicted the 1C10 amino acid residues that make contact with the V3 loop using a deep learning (DL)-based method. Inputs from ROSIE for docking simulation and FastContact, Naccess, and PDBtools, to approximate interactions were processed by Chainer for DL, and outputs were obtained as probabilities of contact residues. Using this DL algorithm, D95, D97, P100a, and D100b of CDRH3; D53, and D56 of CDRH2; and D61 of FR3 were highly ranked as contact residues of 1C10. Substitution of these residues with alanine significantly decreased the affinity of 1C10 to the V3 peptide. Moreover, the higher the rank of the residue, the more the binding activity diminished. This study demonstrates that the prediction of contact residues using a DL-based approach is a precise and useful tool for the analysis of antibody-antigen interactions.
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Affiliation(s)
- Yu Kaku
- Clinical Retrovirology, Joint Research Center for Human Retrovirus Infection, Kumamoto University
| | - Takeo Kuwata
- Clinical Retrovirology, Joint Research Center for Human Retrovirus Infection, Kumamoto University
| | | | - Shuzo Matsushita
- Clinical Retrovirology, Joint Research Center for Human Retrovirus Infection, Kumamoto University
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