Evidence map›Paper›PMID 11325734›Full record

ArticleBiophysical journal2001

Theoretical kinetic studies of models for binding myosin subfragment-1 to regulated actin: Hill model versus Geeves model.

Y Chen, B Yan, J M Chalovich, B Brenner

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Article in Biophysical journal, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

17 citing papers in PubMed.

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  17. Cooperative behavior of molecular motors.Journal of muscle research and cell motility · 2002
    Review
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

4 authors.

Y ChenMathematical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 9190 Rockville Pike, Bethesda, Maryland 20892-2690, USA. ydchen@helix.nih.gov
B Yan
J M Chalovich
B Brenner

Funding

Acting Based Regulation of Smooth Muscle ContractionR01AR035216 · NIAMS · EAST CAROLINA UNIVERSITY · PI CHALOVICH, JOSEPH M · 1986 to 2007
$1.5M
NIAMS NIH HHS R01 AR035216
6 · The paper itself

Abstract

It was previously shown that a one-dimensional Ising model could successfully simulate the equilibrium binding of myosin S1 to regulated actin filaments (T. L. Hill, E. Eisenberg and L. Greene, Proc. Natl. Acad. Sci. U.S.A. 77:3186-3190, 1980). However, the time course of myosin S1 binding to regulated actin was thought to be incompatible with this model, and a three-state model was subsequently developed (D. F. McKillop and M. A. Geeves, Biophys. J. 65:693-701, 1993). A quantitative analysis of the predicted time course of myosin S1 binding to regulated actin, however, was never done for either model. Here we present the procedure for the theoretical evaluation of the time course of myosin S1 binding for both models and then show that 1) the Hill model can predict the "lag" in the binding of myosin S1 to regulated actin that is observed in the absence of Ca++ when S1 is in excess of actin, and 2) both models generate very similar families of binding curves when [S1]/[actin] is varied. This result shows that, just based on the equilibrium and pre-steady-state kinetic binding data alone, it is not possible to differentiate between the two models. Thus, the model of Hill et al. cannot be ruled out on the basis of existing pre-steady-state and equilibrium binding data. Physical mechanisms underlying the generation of the lag in the Hill model are discussed.

Indexed as

ActinsBiophysical PhenomenaBiophysicsCalciumIonsKineticsLightModels, ChemicalModels, TheoreticalMyosin SubfragmentsProtein BindingProtein ConformationScattering, RadiationSpectrometry, FluorescenceTemperatureThermodynamicsActinsCalciumIonsMyosin Subfragments

Identifiers

PMID11325734
PMCPMC1301423

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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.