Literature DB >> 24838571

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

Kliment Olechnovič1, Ceslovas Venclovas2.   

Abstract

The Contact Area Difference score (CAD-score) web server provides a universal framework to compute and analyze discrepancies between different 3D structures of the same biological macromolecule or complex. The server accepts both single-subunit and multi-subunit structures and can handle all the major types of macromolecules (proteins, RNA, DNA and their complexes). It can perform numerical comparison of both structures and interfaces. In addition to entire structures and interfaces, the server can assess user-defined subsets. The CAD-score server performs both global and local numerical evaluations of structural differences between structures or interfaces. The results can be explored interactively using sortable tables of global scores, profiles of local errors, superimposed contact maps and 3D structure visualization. The web server could be used for tasks such as comparison of models with the native (reference) structure, comparison of X-ray structures of the same macromolecule obtained in different states (e.g. with and without a bound ligand), analysis of nuclear magnetic resonance (NMR) structural ensemble or structures obtained in the course of molecular dynamics simulation. The web server is freely accessible at: http://www.ibt.lt/bioinformatics/cad-score.
© The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2014        PMID: 24838571      PMCID: PMC4086110          DOI: 10.1093/nar/gku294

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  13 in total

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5.  Contact area difference (CAD): a robust measure to evaluate accuracy of protein models.

Authors:  R A Abagyan; M M Totrov
Journal:  J Mol Biol       Date:  1997-05-09       Impact factor: 5.469

6.  CAD-score: a new contact area difference-based function for evaluation of protein structural models.

Authors:  Kliment Olechnovič; Eleonora Kulberkytė; Ceslovas Venclovas
Journal:  Proteins       Date:  2012-09-29

7.  Processing and analysis of CASP3 protein structure predictions.

Authors:  A Zemla; C Venclovas; J Moult; K Fidelis
Journal:  Proteins       Date:  1999

8.  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

9.  RNAlyzer--novel approach for quality analysis of RNA structural models.

Authors:  Piotr Lukasiak; Maciej Antczak; Tomasz Ratajczak; Janusz M Bujnicki; Marta Szachniuk; Ryszard W Adamiak; Mariusz Popenda; Jacek Blazewicz
Journal:  Nucleic Acids Res       Date:  2013-04-25       Impact factor: 16.971

10.  DARS-RNP and QUASI-RNP: new statistical potentials for protein-RNA docking.

Authors:  Irina Tuszynska; Janusz M Bujnicki
Journal:  BMC Bioinformatics       Date:  2011-08-18       Impact factor: 3.169

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  8 in total

1.  Comparative analysis of methods for evaluation of protein models against native structures.

Authors:  Kliment Olechnovič; Bohdan Monastyrskyy; Andriy Kryshtafovych; Česlovas Venclovas
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4.  Assessment of protein model structure accuracy estimation in CASP14: Old and new challenges.

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5.  RNAssess--a web server for quality assessment of RNA 3D structures.

Authors:  Piotr Lukasiak; Maciej Antczak; Tomasz Ratajczak; Marta Szachniuk; Mariusz Popenda; Ryszard W Adamiak; Jacek Blazewicz
Journal:  Nucleic Acids Res       Date:  2015-06-11       Impact factor: 16.971

6.  Molecular dynamics of Middle East Respiratory Syndrome Coronavirus (MERS CoV) fusion heptad repeat trimers.

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Journal:  Comput Biol Chem       Date:  2018-05-17       Impact factor: 2.877

Review 7.  Current Approaches in Supersecondary Structures Investigation.

Authors:  Vladimir R Rudnev; Liudmila I Kulikova; Kirill S Nikolsky; Kristina A Malsagova; Arthur T Kopylov; Anna L Kaysheva
Journal:  Int J Mol Sci       Date:  2021-11-02       Impact factor: 5.923

8.  Continuous Automated Model EvaluatiOn (CAMEO)-Perspectives on the future of fully automated evaluation of structure prediction methods.

Authors:  Xavier Robin; Juergen Haas; Rafal Gumienny; Anna Smolinski; Gerardo Tauriello; Torsten Schwede
Journal:  Proteins       Date:  2021-08-19
  8 in total

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