Automatic Classification of Protein Structure Using the Maximum Contact Map Overlap Metric

Autor: Gunnar W. Klau, Mathilde Le Boudic-Jamin, Rumen Andonov, Inken Wohlers, Hristo N. Djidjev

Publikováno v: Algorithms
Algorithms, 2015, Special Issue Algorithmic Themes in Bioinformatics, Volume 8 (Issue 4), pp.20. ⟨10.3390/a8040850⟩
Giuseppe Lancia
Algorithms, MDPI, 2015, Special Issue Algorithmic Themes in Bioinformatics, Volume 8 (Issue 4), pp.20. ⟨10.3390/a8040850⟩
Algorithms, 8(4), 850-869
Algorithms, 2015, 8 (4), ⟨10.3390/a8040850⟩
Algorithms, MDPI, 2015, 8 (4), ⟨10.3390/a8040850⟩
Volume 8
Issue 4
Pages 850-869
Algorithms, 8(4), 850-869. MDPI AG
Algorithms, Vol 8, Iss 4, Pp 850-869 (2015)
Andonov, R, Djidjev, H, Klau, G W, Boudic-Jamin, M L & Wohlers, I 2015, ' Automatic classification of protein structure using the maximum contact map overlap metric ', Algorithms, vol. 8, no. 4, pp. 850-869 . https://doi.org/10.3390/a8040850

In this work, we propose a new distance measure for comparing two protein structures based on their contact map representations. We show that our novel measure, which we refer to as the maximum contact map overlap (max-CMO) metric, satisfies all prop

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::763d791c9acf1a25aa7ae02a69de7571
https://doi.org/10.3390/a8040850