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Record W1560829760 · doi:10.1002/0471223840.ch14

Molecular Modeling: Molecular Mechanics

2002· other· en· W1560829760 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typeother
Languageen
FieldChemistry
TopicVarious Chemistry Research Topics
Canadian institutionsCarleton University
Fundersnot available
KeywordsMolecular mechanicsMolecular modelMolecular dynamicsEnergy minimizationComputer scienceFolding (DSP implementation)SoftwareBiomoleculeBiological systemChemistryNanotechnologyComputational chemistryMaterials scienceEngineeringMechanical engineeringBiology

Abstract

fetched live from OpenAlex

Molecular modeling can be defined as an application of computers to generate, manipulate, calculate and predict realistic molecular structures and associated properties. The computational approaches, in particular molecular mechanics, to obtain energetic and structural information for biomolecules are presented. Methodologies and practices for energy calculation, geometry optimization (energy minimization), dynamic simulation and conformational search are discussed. Molecular modeling software packages of biochemical interest are listed. The Web servers for carbohydrate modeling (SWEET) and nucleic acid folding prediction (mfold) are presented. The applications of molecular modeling packages for Windows, Chem3D and HyperChem, are described.

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.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.188
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
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)0.0860.001

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 head0.021
GPT teacher head0.257
Teacher spread0.236 · 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

Quick stats

Citations6
Published2002
Admission routes1
Has abstractyes

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Same topicVarious Chemistry Research TopicsFrench-language works237,207