Szczegóły publikacji

Opis bibliograficzny

AB initio protein structure prediction – the hydrophobicity distribution analysis / Giuseppe Evangelista, [et al.], Maciej MALAWSKI, [et al.] // Bio-Algorithms and Med-Systems / Jagiellonian University. Medical College ; ISSN 1895-9091. — 2011 — vol. 7 no. 2, s. 5–12. — Bibliogr. s. 12, Abstr. — M. Malawski – dod. afiliacja: Academic Computer Center CYFRONET

Autor

Słowa kluczowe

hydrophobicityprotein structureoil drop model

Dane bibliometryczne

ID BaDAP69335
Data dodania do BaDAP2012-11-21
Tekst źródłowyURL
Rok publikacji2011
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Creative Commons
Czasopismo/seriaBio-Algorithms and Med-Systems

Abstract

The three-dimensional structures generated for 20 “never born proteins” (NBP – random amino acid sequence with no significant homology to existing proteins) using two different techniques: ROSETTA (called R in the paper) and “fuzzy oil drop” model (called S in the paper) were compared to estimate the accordance with the assumed model estimating the influence of an external force field on the final structure of the protein. Selected structures are those corresponding to the highest (10 proteins) and lowest (10 proteins) RMS-D values obtained measuring the similarity between the R and S structures. The R structures generated according to an internal force field (the individual inter-molecular interaction) including solvation effects were analyzed using the “fuzzy oil drop” model as target model. The second applied model “fuzzy oil drop” generated structures characterized by an ordered hydrophobic core structure. 13 of the 20 selected S structures appeared to be accordant with the “fuzzy oil drop” model while 6 out of the 20 structures appeared to be accordant with external force field for R structures which suggests a general interpretation of the influence of an external force field on the folding simulation.

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