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Record W4322622062 · doi:10.11158/saa.28.2.12

Current status of structural studies of proteins originating from Arachnida

2023· article· en· W4322622062 on OpenAlexaff
Safaa Kader, Ricardo Hernández Arriaza, Kriti Khatri, Andrea O’Malley, Vojislava Grbić, Miodrag Grbić, M. Chruszcz

Bibliographic record

VenueSystematic and Applied Acarology · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Structure and Dynamics
Canadian institutionsWestern University
FundersNational Institute of Allergy and Infectious DiseasesU.S. Department of AgricultureNational Institute of Food and AgricultureNational Science Foundation
KeywordsProtein Data Bank (RCSB PDB)Protein Data BankBiologyZoologyEvolutionary biologyProtein structureBiochemistry

Abstract

fetched live from OpenAlex

Arthropods from class Arachnida constitute a large and diverse group with over 100,000 described species, and they are sources of many proteins that have a direct impact on human health. Despite the importance of Arachnida, few proteins originating from these organisms have been characterized in terms of their structure. Here we present a detailed analysis of Arachnida proteins that have their experimental structures determined and deposited to the Protein Data Bank (PDB). Our results indicate that proteins represented in the PDB are derived from a small number of Arachnida families, and two-thirds of Arachnida proteins with experimental structures determined are derived from organisms belonging to Buthidae, Ixodidae, and Theraphosidae families. Moreover, 90% of the deposits come from just a dozen of Arachnida families, and almost half of the deposits represent proteins originating from only fifteen different species. In summary, our analysis shows that the structural analysis of proteins originating from Arachnida is not only limited to a small number of the source species, but also proteins from this group of animals are not extensively studied. However, the interest in Arachnida proteins seems to be increasing, which is reflected by a significant increase in the related PDB deposits during the last ten years.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.214
Threshold uncertainty score0.411

Codex and Gemma teacher scores by category

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.297
Teacher spread0.281 · 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 teacher head, 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

Citations5
Published2023
Admission routes1
Has abstractyes

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