Literature DB >> 17888742

PreSSAPro: a software for the prediction of secondary structure by amino acid properties.

Susan Costantini1, Giovanni Colonna, Angelo M Facchiano.   

Abstract

PreSSAPro is a software, available to the scientific community as a free web service designed to provide predictions of secondary structures starting from the amino acid sequence of a given protein. Predictions are based on our recently published work on the amino acid propensities for secondary structures in either large but not homogeneous protein data sets, as well as in smaller but homogeneous data sets corresponding to protein structural classes, i.e. all-alpha, all-beta, or alpha-beta proteins. Predictions result improved by the use of propensities evaluated for the right protein class. PreSSAPro predicts the secondary structure according to the right protein class, if known, or gives a multiple prediction with reference to the different structural classes. The comparison of these predictions represents a novel tool to evaluate what sequence regions can assume different secondary structures depending on the structural class assignment, in the perspective of identifying proteins able to fold in different conformations. The service is available at the URL http://bioinformatica.isa.cnr.it/PRESSAPRO/.

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Year:  2007        PMID: 17888742     DOI: 10.1016/j.compbiolchem.2007.08.010

Source DB:  PubMed          Journal:  Comput Biol Chem        ISSN: 1476-9271            Impact factor:   2.877


  3 in total

1.  Accurate prediction of protein structural class.

Authors:  Xia-Yu Xia; Meng Ge; Zhi-Xin Wang; Xian-Ming Pan
Journal:  PLoS One       Date:  2012-06-19       Impact factor: 3.240

2.  Evaluation of the sensitivity and specificity of GST-tagged recombinant antigens 2B2t, Ag5t and DIPOL in ELISA for the diagnosis and follow up of patients with cystic echinococcosis.

Authors:  Carlos Sánchez-Ovejero; Eylem Akdur; Raúl Manzano-Román; Ana Hernández-González; María González-Sánchez; David Becerro-Recio; Javier González-Miguel; Okan Akhan; Carmen M Cretu; Kamenna Vutova; Francesca Tamarozzi; Mara Mariconti; Enrico Brunetti; Ambra Vola; Massimo Fabiani; Adriano Casulli; Mar Siles-Lucas
Journal:  PLoS Negl Trop Dis       Date:  2020-11-30

3.  Impact of residue accessible surface area on the prediction of protein secondary structures.

Authors:  Amir Momen-Roknabadi; Mehdi Sadeghi; Hamid Pezeshk; Sayed-Amir Marashi
Journal:  BMC Bioinformatics       Date:  2008-08-31       Impact factor: 3.169

  3 in total

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