Diversity against adversity: How adaptive immunity evolves potent antibodies
Muyoung Heo, Konstantin B. Zeldovich, Eugene I. Shakhnovich

TL;DR
This paper presents a microscopic, sequence-based model of immune response that explains how potent antibodies evolve rapidly through affinity maturation, highlighting an optimal mutation rate balancing diversity and deleterious effects.
Contribution
It introduces a novel sequence-level model of immune evolution and provides an analytical theory explaining the optimal hypermutation rate and its impact on antibody potency.
Findings
Optimal hypermutation rate close to 10^-3 per nucleotide per replication.
Analytical theory links mutation effects to B cell fate and affinity ceilings.
Model predicts immune response variability based on molecular factors.
Abstract
How does immune system evolve functional proteins - potent antibodies - in such a short time? We address this question using a microscopic, protein-level, sequence-based model of humoral immune response with explicitly defined interactions between Immunoglobulins, host and pathogen proteins. Potent Immunoglobulins are discovered in this model via clonal selection and affinity maturation. Possible outcomes of an infection (extinction of cells, survival with complete elimination of viruses, or persistent infection) crucially depend on mutation rates of viral and Immunoglobulin proteins. The model predicts that there is an optimal Somatic Hypermutation (SHM) rate close to experimentally observed 10-3 per nucleotide per replication. Further, we developed an analytical theory which explains the physical reason for an optimal SHM program as a compromise between deleterious effects of random…
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Taxonomy
TopicsEvolution and Genetic Dynamics · T-cell and B-cell Immunology · vaccines and immunoinformatics approaches
