Evidence map›Paper›PMID 24113284›Full record

ReviewBiophysical chemistry2014

Essential role of conformational selection in ligand binding.

Austin D Vogt, Nicola Pozzi, Zhiwei Chen, Enrico Di Cera

Open access · greenAbstract readReview
In one paragraph

Review in Biophysical chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
5.6field-weighted citation impact, top 3% 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

55 citing papers in PubMed, 108 citations in OpenAlex.

  1. Review
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  7. Review
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  15. Review
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  17. The Non-continuum Nature of Eukaryotic Transcriptional Regulation.Advances in experimental medicine and biology · 2022
    Article
  18. Article
  19. The active site region plays a critical role in NaThe Journal of biological chemistry · 2022
    Article
  20. 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

4 authors at 1 institution in 1 country.

Austin D VogtEdward A. Doisy Department of Biochemistry and Molecular Biology, Saint Louis University School of Medicine, St. Louis, MO 63104, United States.
Nicola PozziEdward A. Doisy Department of Biochemistry and Molecular Biology, Saint Louis University School of Medicine, St. Louis, MO 63104, United States.
Zhiwei ChenEdward A. Doisy Department of Biochemistry and Molecular Biology, Saint Louis University School of Medicine, St. Louis, MO 63104, United States.
Enrico Di CeraEdward A. Doisy Department of Biochemistry and Molecular Biology, Saint Louis University School of Medicine, St. Louis, MO 63104, United States. Electronic address: enrico@slu.edu.
Saint Louis University · US

Funding

STUDIES ON THROMBIN ALLOSTERYR01HL049413 · NHLBI · WASHINGTON UNIVERSITY · PI Enrico Di Cera · 2000 to 2026
$9.6M
Translational Research Skills Development CoreU54HL112303 · NHLBI · WASHINGTON UNIVERSITY · PI SADLER, J EVAN · 2012 to 2016
$8.8M
Studies on the anticoagulant properties of thrombinR01HL073813 · NHLBI · WASHINGTON UNIVERSITY · PI DI CERA, ENRICO · 2003 to 2015
$5.3M
BIOPHYSICAL STUDIES OF THROMBINR29HL049413 · NHLBI · WASHINGTON UNIVERSITY · PI DI CERA, ENRICO · 1995 to 1999
–
NHLBI NIH HHS HL112303NHLBI NIH HHS HL49413NHLBI NIH HHS HL73813NHLBI NIH HHS R01 HL049413NHLBI NIH HHS R01 HL073813NHLBI NIH HHS R29 HL049413NHLBI NIH HHS U54 HL112303
6 · The paper itself

Abstract

Two competing and mutually exclusive mechanisms of ligand recognition - conformational selection and induced fit - have dominated our interpretation of ligand binding in biological macromolecules for almost six decades. Conformational selection posits the pre-existence of multiple conformations of the macromolecule from which the ligand selects the optimal one. Induced fit, on the other hand, postulates the existence of conformational rearrangements of the original conformation into an optimal one that are induced by binding of the ligand. In the former case, conformational transitions precede the binding event; in the latter, conformational changes follow the binding step. Kineticists have used a facile criterion to distinguish between the two mechanisms based on the dependence of the rate of relaxation to equilibrium, kobs, on the ligand concentration, [L]. A value of kobs decreasing hyperbolically with [L] has been seen as diagnostic of conformational selection, while a value of kobs increasing hyperbolically with [L] has been considered diagnostic of induced fit. However, this simple conclusion is only valid under the rather unrealistic assumption of conformational transitions being much slower than binding and dissociation events. In general, induced fit only produces values of kobs that increase with [L] but conformational selection is more versatile and is associated with values of kobs that increase with, decrease with or are independent of [L]. The richer repertoire of kinetic properties of conformational selection applies to kinetic mechanisms with single or multiple saturable relaxations and explains the behavior of nearly all experimental systems reported in the literature thus far. Conformational selection is always sufficient and often necessary to account for the relaxation kinetics of ligand binding to a biological macromolecule and is therefore an essential component of any binding mechanism. On the other hand, induced fit is never necessary and only sufficient in a few cases. Therefore, the long assumed importance and preponderance of induced fit as a mechanism of ligand binding should be reconsidered.

Indexed as

AnimalsHumansKineticsLigandsModels, MolecularProtein BindingProtein ConformationSerine EndopeptidasesLigandsSerine EndopeptidasesConformational selectionInduced fitLigand bindingRelaxation kineticsThrombinTrypsin-like protease

Identifiers

PMID24113284
PMCPMC3945038
OpenAlexW2136906292

What OpenQuestion holds

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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.