Evidence map›Paper›PMID 36817953›Full record

ArticleComputational and structural biotechnology journal2023

Wordom update 2: A user-friendly program for the analysis of molecular structures and conformational ensembles.

Angelo Felline, Simone Conti, Michele Seeber, Marco Cecchini, Francesca Fanelli

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Article in Computational and structural biotechnology journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

  1. Article
  2. Article
  3. Hidden complexity of α7 nicotinic acetylcholine receptor desensitization revealed by MD simulations and Markov state modeling.Proceedings of the National Academy of Sciences of the United States of America · 2025
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Angelo FellineDepartment of Life Sciences, University of Modena and Reggio Emilia, via Campi 103, 41125 Modena, Italy.
Simone ContiDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.
Michele SeeberDepartment of Life Sciences, University of Modena and Reggio Emilia, via Campi 103, 41125 Modena, Italy.
Marco CecchiniStrasbourg Institute of Chemistry, UMR7177, CNRS, Strasbourg University, F-67083 Strasbourg Cedex, France.
Francesca FanelliDepartment of Life Sciences, University of Modena and Reggio Emilia, via Campi 103, 41125 Modena, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present the second update of Wordom, a user-friendly and efficient program for manipulation and analysis of conformational ensembles from molecular simulations. The actual update expands some of the existing modules and adds 21 new modules to the update 1 published in 2011. The new adds can be divided into three sets that: 1) analyze atomic fluctuations and structural communication; 2) explore ion-channel conformational dynamics and ionic translocation; and 3) compute geometrical indices of structural deformation. Set 1 serves to compute correlations of motions, find geometrically stable domains, identify a dynamically invariant core, find changes in domain-domain separation and mutual orientation, perform wavelet analysis of large-scale simulations, process the output of principal component analysis of atomic fluctuations, perform functional mode analysis, infer regions of mechanical rigidity, analyze overall fluctuations, and perform the perturbation response scanning. Set 2 includes modules specific for ion channels, which serve to monitor the pore radius as well as water or ion fluxes, and measure functional collective motions like receptor twisting or tilting angles. Finally, set 3 includes tools to monitor structural deformations by computing angles, perimeter, area, volume, β-sheet curvature, radial distribution function, and center of mass. The ring perception module is also included, helpful to monitor supramolecular self-assemblies. This update places Wordom among the most suitable, complete, user-friendly, and efficient software for the analysis of biomolecular simulations. The source code of Wordom and the relative documentation are available under the GNU general public license at http://wordom.sf.net.

Indexed as

Ion channel dynamicsMolecular DynamicsMolecular simulation analysisStructural communication

Identifiers

PMID36817953
PMCPMC9929209

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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.