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Record W4327980509 · doi:10.1080/27694127.2023.2188523

Atg8 family proteins, LIR/AIM motifs and other interaction modes

2023· article· en· W4327980509 on OpenAlexfundno aff
Vladimir V. Rogov, Ioannis P. Nezis, Panagiotis Tsapras, Hong Zhang, Yasin Dagdas, Nobuo N. Noda, Hitoshi Nakatogawa, Martina Wirth, Stéphane Mouilleron, David G. McEwan, Christian Behrends, Vojo Deretić, Zvulun Elazar, Sharon A. Tooze, Ivan Đikić, Trond Lamark, Terje Johansen

Bibliographic record

VenueAutophagy Reports · 2023
Typearticle
Languageen
FieldMedicine
TopicAutophagy in Disease and Therapy
Canadian institutionsnot available
FundersStructural Genomics ConsortiumH2020 European Research CouncilCore Research for Evolutional Science and TechnologyWellcome TrustCancer Research UKBiotechnology and Biological Sciences Research CouncilAustrian Science FundNorges ForskningsrådGenentechNational Natural Science Foundation of ChinaMinistry of Education, Culture, Sports, Science and TechnologyJapan Agency for Medical Research and DevelopmentMcGill UniversityDeutsche ForschungsgemeinschaftEuropean CommissionGenome CanadaOntario Genomics InstituteFrancis Crick InstituteEuropean Federation of Pharmaceutical Industries and AssociationsMerck KGaAJapan Society for the Promotion of ScienceDirectorate for Biological SciencesOntario GenomicsMedical Research CouncilBayerPfizerBristol-Myers Squibb
KeywordsATG8Protein–protein interactionComputational biologyDocking (animal)BiologyStructural motifProtein familyAutophagyCell biologyChemistryGeneticsGeneBiochemistry

Abstract

fetched live from OpenAlex

The Atg8 family of ubiquitin-like proteins play pivotal roles in autophagy and other processes involving vesicle fusion and transport where the lysosome/vacuole is the end station. Nuclear roles of Atg8 proteins are also emerging. Here, we review the structural and functional features of Atg8 family proteins and their protein-protein interaction modes in model organisms such as yeast, Arabidopsis, C. elegans and Drosophila to humans. Although varying in number of homologs, from one in yeast to seven in humans, and more than ten in some plants, there is a strong evolutionary conservation of structural features and interaction modes. The most prominent interaction mode is between the LC3 interacting region (LIR), also called Atg8 interacting motif (AIM), binding to the LIR docking site (LDS) in Atg8 homologs. There are variants of these motifs like “half-LIRs” and helical LIRs. We discuss details of the binding modes and how selectivity is achieved as well as the role of multivalent LIR-LDS interactions in selective autophagy. A number of LIR-LDS interactions are known to be regulated by phosphorylation. New methods to predict LIR motifs in proteins have emerged that will aid in discovery and analyses. There are also other interaction surfaces than the LDS becoming known where we presently lack detailed structural information, like the N-terminal arm region and the UIM-docking site (UDS). More interaction modes are likely to be discovered in future studies.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.437
Threshold uncertainty score0.689

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 head0.030
GPT teacher head0.314
Teacher spread0.284 · 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 designObservational
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

Citations94
Published2023
Admission routes1
Has abstractyes

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