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Record W2065184191 · doi:10.1110/ps.04824304

Structure of the XPC binding domain of hHR23A reveals hydrophobic patches for protein interaction

2004· article· en· W2065184191 on OpenAlexaboutno aff
Mariusz Kamionka, Juli Feigon

Bibliographic record

VenueProtein Science · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicUbiquitin and proteasome pathways
Canadian institutionsnot available
FundersNational Institute of Allergy and Infectious DiseasesNational Institutes of Health
KeywordsProtein–protein interactionBiophysicsChemistryPlasma protein bindingDomain (mathematical analysis)Protein structureComputational biologyBiologyBiochemistry

Abstract

fetched live from OpenAlex

Rad23 proteins are involved both in the ubiquitin-proteasome pathway and in nucleotide excision repair (NER), but the relationship between these two pathways is not yet understood. The two human homologs of Rad23, hHR23A and B, are functionally redundant in NER and interact with xeroderma pigmentosum complementation group C (XPC) protein. The XPC-hHR23 complex is responsible for the specific recognition of damaged DNA, which is an early step in NER. The interaction of the XPC binding domain (XPCB) of hHR23A/B with XPC protein has been shown to be important for its optimal function in NER. We have determined the solution structure of XPCB of hHR23A. The domain consists of five amphipathic helices and reveals hydrophobic patches on the otherwise highly hydrophilic domain surface. The patches are predicted to be involved in interaction with XPC. The XPCB domain has limited sequence homology with any proteins outside of the Rad23 family except for sacsin, a protein involved in spastic ataxia of Charlevoix-Saguenay, which contains a domain with 35% sequence identity.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.262
Teacher spread0.249 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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

Citations39
Published2004
Admission routes1
Has abstractyes

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