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Record W3088763537 · doi:10.1002/1873-3468.13935

Structural and functional diversity calls for a new classification of ABC transporters

2020· review· en· W3088763537 on OpenAlexaff
Christoph Thomas, Stephen G. Aller, Konstantinos Beis, Elisabeth P. Carpenter, Geoffrey Chang, Lei Chen, Elie Dassa, Michael Dean, Franck Duong, Damian C. Ekiert, Robert C. Ford, Rachelle Gaudet, Xin Gong, I. Barry Holland, Yihua Huang, Daniel K. Kahne, Hiroaki Kato, Vassilis Koronakis, Christopher M. Koth, Youngsook Lee, Oded Lewinson, Roland Lill, Enrico Martinoia, Satoshi Murakami, Heather W. Pinkett, Bert Poolman, Daniel M. Rosenbaum, Balázs Sarkadi, Lutz Schmitt, Erwin Schneider, Yigong Shi, Show‐Ling Shyng, Dirk Jan Slotboom, Emad Tajkhorshid, D. Peter Tieleman, Kazumitsu Ueda, András Váradi, Po‐Chao Wen, Nieng Yan, Peng Zhang, Hongjin Zheng, Jochen Zimmer, Robert Tampé

Bibliographic record

VenueFEBS Letters · 2020
Typereview
Languageen
FieldMedicine
TopicDrug Transport and Resistance Mechanisms
Canadian institutionsUniversity of CalgaryUniversity of British Columbia
FundersNational Institute of Diabetes and Digestive and Kidney DiseasesMedical Research CouncilNational Institute of General Medical SciencesWellcome Trust
KeywordsATP-binding cassette transporterComputational biologyBiologyTransporterTransmembrane domainHomology (biology)Transmembrane proteinSolute carrier familySUPERFAMILYHomology modelingSequence homologyGeneticsBiochemistryPeptide sequenceGeneEnzyme

Abstract

fetched live from OpenAlex

Members of the ATP-binding cassette (ABC) transporter superfamily translocate a broad spectrum of chemically diverse substrates. While their eponymous ATP-binding cassette in the nucleotide-binding domains (NBDs) is highly conserved, their transmembrane domains (TMDs) forming the translocation pathway exhibit distinct folds and topologies, suggesting that during evolution the ancient motor domains were combined with different transmembrane mechanical systems to orchestrate a variety of cellular processes. In recent years, it has become increasingly evident that the distinct TMD folds are best suited to categorize the multitude of ABC transporters. We therefore propose a new ABC transporter classification that is based on structural homology in the TMDs.

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 score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.003
Science and technology studies0.0000.001
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.002

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 head0.075
GPT teacher head0.283
Teacher spread0.208 · 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

Citations286
Published2020
Admission routes1
Has abstractyes

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