Evidence map›Paper›PMID 22238423›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2012

Sampling protein motion and solvent effect during ligand binding.

Vittorio Limongelli, Luciana Marinelli, Sandro Cosconati, Concettina La Motta, Stefania Sartini, Laura Mugnaini, Federico Da Settimo, Ettore Novellino, Michele Parrinello

Abstract readValidation Study
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

49 citing papers in PubMed.

  1. Article
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  8. OneOPES, a Combined Enhanced Sampling Method to Rule Them All.Journal of chemical theory and computation · 2023
    Article
  9. Cell-free Biosynthesis of Peptidomimetics.Biotechnology and bioprocess engineering : BBE · 2023
    Review
  10. Article
  11. Article
  12. Review
  13. Computational Tools for Accurate Binding Free-Energy Prediction.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  14. Review
  15. Article
  16. 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

9 authors.

Vittorio LimongelliDepartment of Chemistry and Applied Biosciences, Computational Science, Eidgenössiche Technische Hochschule, ETH, Zürich, Switzerland.
Luciana Marinelli
Sandro Cosconati
Concettina La Motta
Stefania Sartini
Laura Mugnaini
Federico Da Settimo
Ettore Novellino
Michele Parrinello

Funding

European Research Council 247075
6 · The paper itself

Abstract

An exhaustive description of the molecular recognition mechanism between a ligand and its biological target is of great value because it provides the opportunity for an exogenous control of the related process. Very often this aim can be pursued using high resolution structures of the complex in combination with inexpensive computational protocols such as docking algorithms. Unfortunately, in many other cases a number of factors, like protein flexibility or solvent effects, increase the degree of complexity of ligand/protein interaction and these standard techniques are no longer sufficient to describe the binding event. We have experienced and tested these limits in the present study in which we have developed and revealed the mechanism of binding of a new series of potent inhibitors of Adenosine Deaminase. We have first performed a large number of docking calculations, which unfortunately failed to yield reliable results due to the dynamical character of the enzyme and the complex role of the solvent. Thus, we have stepped up the computational strategy using a protocol based on metadynamics. Our approach has allowed dealing with protein motion and solvation during ligand binding and finally identifying the lowest energy binding modes of the most potent compound of the series, 4-decyl-pyrazolo[1,5-a]pyrimidin-7-one.

Indexed as

AlgorithmsLigandsModels, MolecularProtein BindingProteinsSolventsLigandsProteinsSolvents

Identifiers

PMID22238423
PMCPMC3277130

What OpenQuestion holds

Textmetadata
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.