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Record W1976263218 · doi:10.1021/jp994193s

Free Energy Simulations:  Thermodynamic Reversibility and Variability

2000· article· en· W1976263218 on OpenAlexaff
Sutha Shobana, Benoı̂t Roux, Olaf S. Andersen

Bibliographic record

VenueThe Journal of Physical Chemistry B · 2000
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Thermodynamics and Statistical Mechanics
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsEnergy (signal processing)Statistical physicsThermodynamicsPhysics

Abstract

fetched live from OpenAlex

The energetic consequences of amino acid substitutions were investigated using molecular dynamics free energy simulations (MD/FES). A focus of the present study is how one can treat some of the intrinsic problems associated with the use of dummy atoms, which are introduced in standard MD / FES procedures working with a constant number of particles. Specifically, we show how one can introduce dummy atoms, which retain all the covalent interactions, in a “hybrid residue”, in such a way that the influence of the bonded interactions with dummy atoms do not influence the final free energy change. The simulations thus can be done using a transformation protocol in which all covalent bond contributions are maintained invariant throughout the calculations; only the nonbonded interactions are varied. That is, the number of atoms is maintained constant by introducing dummy atoms, which are covalently linked to the protein in question, but which have no nonbonded interactions at one or the other of the two end point reference states. The potential energy function describing the transformation was constructed such that all internal energy terms are invariant with respect to the thermodynamic coupling parameter λ (0 ≤ λ ≤ 1). This simulation procedure therefore has similarities with both the “single topology” and “dual topology” methods, which have been used in other investigations. This transformation and MD/FES strategy was evaluated using three different systems, in which an Ala is transformed into a Val (the italicized residues were transformed): formyl- Ala -ethanolamine; formyl-(Ala) 3 -Ala- Ala -Ala-(Ala) 3 -ethanolamine (as an α-helix); and formyl-(Ala) 3 -Val- Ala -Val-(Ala) 3 -ethanolamine (as an α-helix). The calculations examined how the free energy difference associated with an Ala-to-Val transformation depends on the choice of transformation path, the equilibration time, and the number windows used in the calculation. The results show that MD/FES provides for stable energy estimates for any intermediate state, as defined by the coupling parameter λ, including the end point reference states: λ = 0 and λ = 1. With an appropriate choice of sigmoid transformation path, free energy changes with minimal variability and good reversibility were obtained for all three systems using MD/FES lasting longer than 2.4 ns.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.004
GPT teacher head0.228
Teacher spread0.224 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations36
Published2000
Admission routes1
Has abstractyes

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