Evidence map›Paper›PMID 19650071›Full record

ArticleJournal of molecular recognition : JMR

Methods for calculating the absolute entropy and free energy of biological systems based on ideas from polymer physics.

Hagai Meirovitch

Abstract read
In one paragraph

Article in Journal of molecular recognition : JMR. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Molecular Dynamics as a Tool for Virtual Ligand Screening.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  3. Article
  4. Absolute free energy of binding of avidin/biotin, revisited.The journal of physical chemistry. B · 2012
    Article
  5. Article
  6. Article
  7. Article
  8. Free energy considerations for nucleic acids with dangling ends near a surface: a coarse grained approach.Journal of physics. Condensed matter : an Institute of Physics journal · 2011
    Article
  9. Article
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Hagai MeirovitchDepartment of Computational Biology, University of Pittsburgh School of Medicine, 3059 BST3, Pittsburgh, PA 15260, USA. hagaim@pitt.edu
University of Pittsburgh · US

Funding

Methods for Calculating the Free Energy of ProteinsR01GM066090 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MEIROVITCH, HAGAI · 2002 to 2010
$1.5M
NIGMS NIH HHS 2-R01 GM066090-4 A2NIGMS NIH HHS R01 GM066090
6 · The paper itself

Abstract

The commonly used simulation techniques, Metropolis Monte Carlo (MC) and molecular dynamics (MD) are of a dynamical type which enables one to sample system configurations i correctly with the Boltzmann probability, P(i)(B), while the value of P(i)(B) is not provided directly; therefore, it is difficult to obtain the absolute entropy, S approximately -ln P(i)(B), and the Helmholtz free energy, F. With a different simulation approach developed in polymer physics, a chain is grown step-by-step with transition probabilities (TPs), and thus their product is the value of the construction probability; therefore, the entropy is known. Because all exact simulation methods are equivalent, i.e. they lead to the same averages and fluctuations of physical properties, one can treat an MC or MD sample as if its members have rather been generated step-by-step. Thus, each configuration i of the sample can be reconstructed (from nothing) by calculating the TPs with which it could have been constructed. This idea applies also to bulk systems such as fluids or magnets. This approach has led earlier to the "local states" (LS) and the "hypothetical scanning" (HS) methods, which are approximate in nature. A recent development is the hypothetical scanning Monte Carlo (HSMC) (or molecular dynamics, HSMD) method which is based on stochastic TPs where all interactions are taken into account. In this respect, HSMC(D) can be viewed as exact and the only approximation involved is due to insufficient MC(MD) sampling for calculating the TPs. The validity of HSMC has been established by applying it first to liquid argon, TIP3P water, self-avoiding walks (SAW), and polyglycine models, where the results for F were found to agree with those obtained by other methods. Subsequently, HSMD was applied to mobile loops of the enzymes porcine pancreatic alpha-amylase and acetylcholinesterase in explicit water, where the difference in F between the bound and free states of the loop was calculated. Currently, HSMD is being extended for calculating the absolute and relative free energies of ligand-enzyme binding. We describe the whole approach and discuss future directions.

Indexed as

EntropyMolecular Dynamics SimulationModels, ChemicalMonte Carlo MethodPhysicsPolymersStochastic ProcessesThermodynamicsWaterPolymersWater

Identifiers

PMID19650071
PMCPMC2823937
OpenAlexW2158934498

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.