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Record W184178459 · doi:10.1007/0-306-46881-6_148

Dimerization of transmembrane helices studied using de novo designed hydrophobic peptides

2006· book-chapter· en· W184178459 on OpenAlexaff
Roman A. Melnyk, Charles M. Deber

Bibliographic record

VenueKluwer Academic Publishers eBooks · 2006
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPhotosynthetic Processes and Mechanisms
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsBacteriorhodopsinTransmembrane proteinTransmembrane domainChemistryMembrane proteinDimerSequence (biology)Helix (gastropod)BiophysicsMembraneCrystallographyBiochemistryBiologyReceptor

Abstract

fetched live from OpenAlex

The hydrophobic environment of the membrane interior is thought to impose restrictions on the secondary structure of proteins at the protein-lipid interface, i.e., the majority of the known structures of membrane-spanning regions are [1]. Within membrane domains, these transmembrane (TM) segments associate through specific, sequence-dependent non-covalent interactions. However, due in part to the paucity of highresolution structures of membrane proteins, little is known about what role the residues at the interface of these TM segments have on mediating such interactions. To address this issue, we are synthesizing a series of de novo designed model hydrophobic peptides with the sequence When these peptides fold into a canonical -helix (3.6 residues/turn), the residues reside on one face of the helix, where they are expected to participate in dimer formation via interchain noncovalent interactions. This situation has been previously demonstrated using nearest neighbor analysis of the interfacial residues of several crystallized membrane proteins, including the photosynthetic reaction centers, bacteriorhodopsin and cytochrome C oxidase [2].

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 categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.579
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.018
GPT teacher head0.247
Teacher spread0.229 · 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.

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

Citations0
Published2006
Admission routes1
Has abstractyes

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