Literature DB >> 24523197

Voronota: A fast and reliable tool for computing the vertices of the Voronoi diagram of atomic balls.

Kliment Olechnovič1, Ceslovas Venclovas.   

Abstract

The Voronoi diagram of balls, corresponding to atoms of van der Waals radii, is particularly well-suited for the analysis of three-dimensional structures of biological macromolecules. However, due to the shortage of practical algorithms and the corresponding software, simpler approaches are often used instead. Here, we present a simple and robust algorithm for computing the vertices of the Voronoi diagram of balls. The vertices of Voronoi cells correspond to the centers of the empty tangent spheres defined by quadruples of balls. The algorithm is implemented as an open-source software tool, Voronota. Large-scale tests show that Voronota is a fast and reliable tool for processing both experimentally determined and computationally modeled macromolecular structures. Voronota can be easily deployed and may be used for the development of various other structure analysis tools that utilize the Voronoi diagram of balls. Voronota is available at: http://www.ibt.lt/bioinformatics/voronota.
Copyright © 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  RNA structure; Voronoi diagram of balls or spheres; Voronoi vertices; protein structure; software

Mesh:

Substances:

Year:  2014        PMID: 24523197     DOI: 10.1002/jcc.23538

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  13 in total

1.  VoroMQA web server for assessing three-dimensional structures of proteins and protein complexes.

Authors:  Kliment Olechnovič; Česlovas Venclovas
Journal:  Nucleic Acids Res       Date:  2019-07-02       Impact factor: 16.971

2.  Estimation of model accuracy in CASP13.

Authors:  Jianlin Cheng; Myong-Ho Choe; Arne Elofsson; Kun-Sop Han; Jie Hou; Ali H A Maghrabi; Liam J McGuffin; David Menéndez-Hurtado; Kliment Olechnovič; Torsten Schwede; Gabriel Studer; Karolis Uziela; Česlovas Venclovas; Björn Wallner
Journal:  Proteins       Date:  2019-07-16

3.  The use of interatomic contact areas to quantify discrepancies between RNA 3D models and reference structures.

Authors:  Kliment Olechnovič; Ceslovas Venclovas
Journal:  Nucleic Acids Res       Date:  2014-03-12       Impact factor: 16.971

4.  The CAD-score web server: contact area-based comparison of structures and interfaces of proteins, nucleic acids and their complexes.

Authors:  Kliment Olechnovič; Ceslovas Venclovas
Journal:  Nucleic Acids Res       Date:  2014-05-16       Impact factor: 16.971

5.  Protein model accuracy estimation empowered by deep learning and inter-residue distance prediction in CASP14.

Authors:  Xiao Chen; Jian Liu; Zhiye Guo; Tianqi Wu; Jie Hou; Jianlin Cheng
Journal:  Sci Rep       Date:  2021-05-25       Impact factor: 4.379

6.  Crystal structure correlations with the intrinsic thermodynamics of human carbonic anhydrase inhibitor binding.

Authors:  Alexey Smirnov; Asta Zubrienė; Elena Manakova; Saulius Gražulis; Daumantas Matulis
Journal:  PeerJ       Date:  2018-02-26       Impact factor: 2.984

7.  Protein tertiary structure modeling driven by deep learning and contact distance prediction in CASP13.

Authors:  Jie Hou; Tianqi Wu; Renzhi Cao; Jianlin Cheng
Journal:  Proteins       Date:  2019-04-25

8.  Modeling of protein complexes in CASP14 with emphasis on the interaction interface prediction.

Authors:  Justas Dapkūnas; Kliment Olechnovič; Česlovas Venclovas
Journal:  Proteins       Date:  2021-07-05

Review 9.  Coarse-grained (hybrid) integrative modeling of biomolecular interactions.

Authors:  Jorge Roel-Touris; Alexandre M J J Bonvin
Journal:  Comput Struct Biotechnol J       Date:  2020-05-15       Impact factor: 7.271

10.  Ensemble-Based Analysis of the Dynamic Allostery in the PSD-95 PDZ3 Domain in Relation to the General Variability of PDZ Structures.

Authors:  Dániel Dudola; Anett Hinsenkamp; Zoltán Gáspári
Journal:  Int J Mol Sci       Date:  2020-11-06       Impact factor: 5.923

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