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Record W2009101024 · doi:10.1159/000049197

Incorporation of Long CDR3s into V Domains: Implications for the Structural Evolution of the Antibody-Combining Site

2001· review· en· W2009101024 on OpenAlexaff
Paul A. Ramsland, Azad Kaushik, John J. Marchalonis, Allen B. Edmundson

Bibliographic record

VenueExperimental and Clinical Immunogenetics · 2001
Typereview
Languageen
FieldMedicine
TopicMonoclonal and Polyclonal Antibodies Research
Canadian institutionsUniversity of Guelph
FundersDivision of Molecular and Cellular BiosciencesNational Cancer InstituteNational Heart, Lung, and Blood InstituteOklahoma Center for the Advancement of Science and TechnologyU.S. Department of Health and Human Services
KeywordsSequence (biology)BiologyAntibodyEvolutionary biologyGenetics

Abstract

fetched live from OpenAlex

Available data suggest that 'primitive' antibody-combining sites often include longer than average HCDR3s. Long HCDR3 sequences have been reported in diverse vertebrates, including humans, cattle, camels and sharks. These long HCDR3 segments contain unusual sequence features such as stretches of Gly or Pro residues and multiple Cys residues. We examined how longer than average HCDR3s were accommodated in the V domains of human, murine and camel antibodies with known three-dimensional structures. The main conclusions were that (1) HCDR3s longer than 12 residues should protrude outward from the V domains; (2) descending HCDR3 polypeptides may utilize VL (including LCDR3) constituents as a platform, supporting the protruding segments; (3) intra- and inter-HCDR disulfides are frequently formed to rigidify the structure of HCDR3 or the combining site, and (4) V and C domains were possibly more similar in primordial antibodies than they are in their present day counterparts.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.090
GPT teacher head0.478
Teacher spread0.388 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations46
Published2001
Admission routes1
Has abstractyes

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