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Record W2340101159 · doi:10.1021/acs.biochem.6b00149

Structural Effects of Two Camelid Nanobodies Directed to Distinct C-Terminal Epitopes on α-Synuclein

2016· article· en· W2340101159 on OpenAlexaff
Farah El-Turk, Francisco N. Newby, Erwin De Genst, Tim Guilliams, Tara Sprules, Anthony Mittermaier, Christopher M. Dobson, Michele Vendruscolo

Bibliographic record

VenueBiochemistry · 2016
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsMcGill University
FundersEngineering and Physical Sciences Research CouncilSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungWellcome TrustWellcome
KeywordsEpitopeAlpha-synucleinSingle-domain antibodyBiophysicsChemistryProtein structureIntrinsically disordered proteinsProtein foldingBiologyBiochemistryAntibodyParkinson's diseaseGeneticsDiseaseMedicine

Abstract

fetched live from OpenAlex

α-Synuclein is an intrinsically disordered protein whose aggregation is associated with Parkinson's disease and other related neurodegenerative disorders. Recently, two single-domain camelid antibodies (nanobodies) were shown to bind α-synuclein with high affinity. Herein, we investigated how these two nanobodies (NbSyn2 and NbSyn87), which are directed to two distinct epitopes within the C-terminal domain of α-synuclein, affect the conformational properties of this protein. Our results suggest that nanobody NbSyn2, which binds to the five C-terminal residues of α-synuclein (residues 136-140), does not disrupt the transient long-range interactions that generate a degree of compaction within the native structural ensemble of α-synuclein. In contrast, the data that we report indicate that NbSyn87, which targets a central region within the C-terminal domain (residues 118-128), has more substantial effects on the fluctuating secondary and tertiary structure of the protein. These results are consistent with the different effects that the two nanobodies have on the aggregation behavior of α-synuclein in vitro. Our findings thus provide new insights into the type of effects that nanobodies can have on the conformational ensemble of α-synuclein.

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 score0.053
Threshold uncertainty score0.491

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 head0.009
GPT teacher head0.265
Teacher spread0.256 · 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

Citations29
Published2016
Admission routes1
Has abstractyes

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