Literature DB >> 15595734

Charge and hydrophobicity patterning along the sequence predicts the folding mechanism and aggregation of proteins: a computational approach.

Joseph P Zbilut1, Alessandro Giuliani, Alfredo Colosimo, Julie C Mitchell, Mauro Colafranceschi, Norbert Marwan, Charles L Webber, Vladimir N Uversky.   

Abstract

The presence of partially folded intermediates along the folding funnel of proteins has been suggested to be a signature of potentially aggregating systems. Many studies have concluded that metastable, highly flexible intermediates are the basic elements of the aggregation process. In a previous paper, we demonstrated how the choice between aggregation and folding behavior was influenced by hydrophobicity distribution patterning along the sequence, as quantified by recurrence quantification analysis (RQA) of the Myiazawa-Jernigan coded primary structures. In the present paper, we tried to unify the "partially folded intermediate" and "hydrophobicity/charge" models of protein aggregation verifying the ability of an empirical relation, developed for rationalizing the effect of different mutations on aggregation propensity of acyl-phosphatase and based on the combination of hydrophobicity RQA and charge descriptors, to discriminate in a statistically significant way two different protein populations: (a) proteins that fold by a process passing by partially folded intermediates and (b) proteins that do not present partially folded intermediates.

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Year:  2004        PMID: 15595734     DOI: 10.1021/pr049883+

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  5 in total

1.  Sequence signatures of allosteric proteins towards rational design.

Authors:  Saritha Namboodiri; Chandra Verma; Pawan K Dhar; Alessandro Giuliani; Achuthsankar S Nair
Journal:  Syst Synth Biol       Date:  2011-02-22

2.  Characterization of intrinsically disordered prostate associated gene (PAGE5) at single residue resolution by NMR spectroscopy.

Authors:  Maarit Hellman; Helena Tossavainen; Pekka Rappu; Jyrki Heino; Perttu Permi
Journal:  PLoS One       Date:  2011-11-02       Impact factor: 3.240

3.  Quantiprot - a Python package for quantitative analysis of protein sequences.

Authors:  Bogumił M Konopka; Marta Marciniak; Witold Dyrka
Journal:  BMC Bioinformatics       Date:  2017-07-17       Impact factor: 3.169

4.  Detecting transitions in protein dynamics using a recurrence quantification analysis based bootstrap method.

Authors:  Wael I Karain
Journal:  BMC Bioinformatics       Date:  2017-11-28       Impact factor: 3.169

5.  QSAR for RNases and theoretic-experimental study of molecular diversity on peptide mass fingerprints of a new Leishmania infantum protein.

Authors:  Humberto González-Díaz; María A Dea-Ayuela; Lázaro G Pérez-Montoto; Francisco J Prado-Prado; Guillermín Agüero-Chapín; Francisco Bolas-Fernández; Roberto I Vazquez-Padrón; Florencio M Ubeira
Journal:  Mol Divers       Date:  2009-07-04       Impact factor: 2.943

  5 in total

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