ArticleMolecular biology and evolution2015
Antibody-specific model of amino acid substitution for immunological inferences from alignments of antibody sequences.
Article in Molecular biology and evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 31 citations in OpenAlex.
- Identification and Characterization of Functional Human Monoclonal Antibodies toJournal of immunology (Baltimore, Md. : 1950) · 2019Trial
- Deep generative modeling captures maturation-dependent pairing patterns in human antibodies.iScience · 2026Article
- Delineating inter- and intra-antibody repertoire evolution with AntibodyForests.Bioinformatics (Oxford, England) · 2025Article
- Potent AMA1-specific human monoclonal antibody against Plasmodium vivax Pre-erythrocytic and Blood Stages.Nature communications · 2024Article
- Stochasticity in genetics and gene regulation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Review
- AbRSA: A robust tool for antibody numbering.Protein science : a publication of the Protein Society · 2019Article
- Simulation data for the estimation of numerical constants for approximating pairwise evolutionary distances between amino acid sequences.Data in brief · 2019Article
- Relative Evolutionary Rates in Proteins Are Largely Insensitive to the Substitution Model.Molecular biology and evolution · 2018Article
- Immunoglobulin gene analysis as a tool for investigating human immune responses.Immunological reviews · 2018Review
- Beyond Hot Spots: Biases in Antibody Somatic Hypermutation and Implications for Vaccine Design.Frontiers in immunology · 2018Review
- Gene-Specific Substitution Profiles Describe the Types and Frequencies of Amino Acid Changes during Antibody Somatic Hypermutation.Frontiers in immunology · 2017Article
- Antibodyomics: bioinformatics technologies for understanding B-cell immunity to HIV-1.Immunological reviews · 2017Review
- Quantifying evolutionary constraints on B-cell affinity maturation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015Article
- Darwin and Fisher meet at biotech: on the potential of computational molecular evolution in industry.BMC evolutionary biology · 2015Article
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Antibodies are glycoproteins produced by the immune system as a dynamically adaptive line of defense against invading pathogens. Very elegant and specific mutational mechanisms allow B lymphocytes to produce a large and diversified repertoire of antibodies, which is modified and enhanced throughout all adulthood. One of these mechanisms is somatic hypermutation, which stochastically mutates nucleotides in the antibody genes, forming new sequences with different properties and, eventually, higher affinity and selectivity to the pathogenic target. As somatic hypermutation involves fast mutation of antibody sequences, this process can be described using a Markov substitution model of molecular evolution. Here, using large sets of antibody sequences from mice and humans, we infer an empirical amino acid substitution model AB, which is specific to antibody sequences. Compared with existing general amino acid models, we show that the AB model provides significantly better description for the somatic evolution of mice and human antibody sequences, as demonstrated on large next generation sequencing (NGS) antibody data. General amino acid models are reflective of conservation at the protein level due to functional constraints, with most frequent amino acids exchanges taking place between residues with the same or similar physicochemical properties. In contrast, within the variable part of antibody sequences we observed an elevated frequency of exchanges between amino acids with distinct physicochemical properties. This is indicative of a sui generis mutational mechanism, specific to antibody somatic hypermutation. We illustrate this property of antibody sequences by a comparative analysis of the network modularity implied by the AB model and general amino acid substitution models. We recommend using the new model for computational studies of antibody sequence maturation, including inference of alignments and phylogenetic trees describing antibody somatic hypermutation in large NGS data sets. The AB model is implemented in the open-source software CodonPhyML (http://sourceforge.net/projects/codonphyml) and can be downloaded and supplied by the user to ProGraphMSA (http://sourceforge.net/projects/prographmsa) or other alignment and phylogeny reconstruction programs that allow for user-defined substitution models.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.