Evidence map›Paper›PMID 21327922›Full record

ArticleJournal of computer-aided molecular design2011

Molecular motions in drug design: the coming age of the metadynamics method.

Xevi Biarnés, Salvatore Bongarzone, Attilio Vittorio Vargiu, Paolo Carloni, Paolo Ruggerone

Abstract read
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In one paragraph

Article in Journal of computer-aided molecular design, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 42 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Serpin latency transition at atomic resolution.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  8. Article
  9. Computational methods in drug discovery.Pharmacological reviews · 2014
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Molecular simulation methods in drug discovery: a prospective outlook.Journal of computer-aided molecular design · 2012
    Article
  15. 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

5 authors at 3 institutions in 2 countries.

Xevi BiarnésInternational School for Advanced Studies, Trieste, Italy.
Salvatore Bongarzone
Attilio Vittorio Vargiu
Paolo Carloni
Paolo Ruggerone
Scuola Internazionale Superiore di Studi Avanzati · ITUniversity of Cagliari · ITGerman Research School for Simulation Sciences · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metadynamics is emerging as a useful free energy method in physics, chemistry and biology. Recently, it has been applied also to investigate ligand binding to biomolecules of pharmacological interest. Here, after introducing the basic idea of the method, we review applications to challenging targets for pharmaceutical intervention. We show that this methodology, especially when combined with a variety of other computational approaches such as molecular docking and/or molecular dynamics simulation, may be useful to predict structure and energetics of ligand/target complexes even when the targets lack a deep binding cavity, such as DNA and proteins undergoing fibrillation in neurodegenerative diseases. Furthermore, the method allows investigating the routes of molecular recognition and the associated binding energy profiles, providing a molecular interpretation to experimental data.

Indexed as

Drug DesignMolecular Dynamics SimulationComputer-Aided DesignDNALigandsMotionProtein BindingProtein ConformationProteinsThermodynamicsDNALigandsProteins

Identifiers

PMID21327922
OpenAlexW2091858804

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.