Evidence map›Paper›PMID 26538331›Full record

ArticleEuropean biophysics journal : EBJ2016

Discrimination between conformational selection and induced fit protein-ligand binding using Integrated Global Fit analysis.

Franz-Josef Meyer-Almes

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Article in European biophysics journal : EBJ, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
  5. Mechanisms of ligand binding.Biophysics reviews · 2020
    Review
  6. Review
  7. Article
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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.

Franz-Josef Meyer-AlmesDepartment of Chemical Engineering and Biotechnology, University of Applied Sciences, Schnittspahnstr. 12, 64287, Darmstadt, Germany. franz-josef.meyer-almes@h-da.de.
Technical University of Darmstadt · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular recognition between proteins and small molecule ligands is at the heart of biological function in cellular systems and the basis of modern rational drug development. Therefore, the mechanisms governing protein-ligand interaction have been objects of research for many decades. The last 15 years has seen a revival of a discussion whether conformational selection (CS) or induced fit (IF) is the most relevant binding mechanism. A decreasing observed rate constant, k obs, with increasing ligand concentration was considered to be a hallmark of CS, but according to contemporary knowledge, a positive saturating behavior of k obs can be explained by both CS and IF mechanisms. The only currently recognized kinetic method to differentiate between both binding mechanisms includes the measurement of two separate series of binding kinetics with variation of either protein or ligand under pseudo-first-order conditions. This study avoids the disadvantage of high protein concentrations and provides evidence that a comprehensive Integrated Global Fit analysis of sets of binding kinetics with just varied ligand concentration in combination with equilibrium data and optional displacement kinetics can effectively differentiate between CS and IF binding mechanisms. The limiting situation, when physical binding dominates over the previous (CS) or subsequent (IF) conformational changes, is carefully analyzed. Finally, the relevance of kinetic methods and the elucidation of more complex binding mechanisms are discussed for advanced rational selection and optimization of drug candidates.

Indexed as

Molecular Docking SimulationProtein ConformationSoftwareBinding SitesKineticsLigandsProtein BindingLigandsBinding kineticsBinding mechanismDrug developmentProtein–drug interactionProtein–ligand binding

Identifiers

PMID26538331
OpenAlexW2141724546

What OpenQuestion holds

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Registered trials

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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.