Known highly conserved sites were not typically well described by models.

Known highly conserved sites were not typically well described by models.

<p>(A) The locations of seven highly conserved sites are highlighted in red. (B) Observed and expected number of substitutions at these seven conserved sites for various models.</p>

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Bibliographic Details
Main Author: Mackenzie M. Johnson (22756552) (author)
Other Authors: Kevin Sung (12400995) (author), Hugh K. Haddox (3396929) (author), Ashni A. Vora (21093610) (author), Tatsuya Araki (22756555) (author), Gabriel D. Victora (5733094) (author), Yun S. Song (14817761) (author), Julia Fukuyama (4376632) (author), Frederick A. Matsen IV (8212521) (author)
Published: 2025
Subjects:
Biochemistry
Genetics
Molecular Biology
Biotechnology
Evolutionary Biology
Immunology
Cancer
Inorganic Chemistry
Infectious Diseases
Biological Sciences not elsewhere classified
specific mouse experiment
large data sets
integrate evolutionary principles
b cell receptors
understanding antibody evolution
two main perspectives
bcrs ): membrane
affinity maturation ),
nucleotide sequence context
protein language models
affinity maturation
nucleotide context
protein sequences
molecular evolution
language modeling
b cells
antibody sequences
simple nucleotide
substantial amount
somatic hypermutation
road map
predictive power
precise modeling
modest improvement
introduce epam
incorporating estimates
included models
improve binding
evaluating predictions
describe mutation
crucial role
computational models
compared models
bound forms
benchmarking framework
bcr sequences
adaptive immunity
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