MétaCan
Menu
Back to cohort
Record W2010146629 · doi:10.1039/b207888k

Stress-induced shape transitions in polymers using a new approach to steered molecular dynamics

2002· article· en· W2010146629 on OpenAlexafffund
Gustavo A. Arteca

Bibliographic record

VenuePhysical Chemistry Chemical Physics · 2002
Typearticle
Languageen
FieldPhysics and Astronomy
TopicForce Microscopy Techniques and Applications
Canadian institutionsLaurentian University
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsMolecular dynamicsChemical physicsBiomoleculePolymerChain (unit)MoleculeFolding (DSP implementation)Biological systemElasticity (physics)ChemistryStatistical physicsPlasticityWork (physics)Materials sciencePhysicsNanotechnologyComputational chemistryThermodynamics

Abstract

fetched live from OpenAlex

Tertiary folds are structurally stable, yet present a notable degree of plasticity. This duality is a key feature to understanding biological function and activity. Recent experiments using atomic force microscopy allow one to assess folding stability by directly measuring conformational changes in a single biomolecule. Experimental data can be complemented by the microscopic detail provided by computer simulations of mechanical unfolding. In this work, we present a simple computational alternative to study stress-induced transitions in chain molecules. In our approach to steered molecular dynamics, a soft perturbation is introduced by performing regular “pull/push” events localized on two bonds at the chain's ends, followed by constrained dynamics with two anchored atoms. We test the procedure on a hydrocarbon chain, and then illustrate its potential by studying the stretching of an α-helix. Shape transitions are monitored in terms of molecular size and chain entanglements. We find that extensive distorsions of the helix can proceed at essentially constant molecular size. The results highlight the importance of using complementary shape descriptors to understand the behaviour of stressed chain molecules.

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)
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 score0.239
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.020
GPT teacher head0.269
Teacher spread0.248 · 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

Citations7
Published2002
Admission routes2
Has abstractyes

Explore more

Same venuePhysical Chemistry Chemical PhysicsSame topicForce Microscopy Techniques and ApplicationsFrench-language works237,207