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Never born proteins as a test case for ab initio protein structures prediction

The number of natural proteins although large is significantly smaller than the theoretical number of proteins that can be obtained combining the 20 natural amino acids, the so-called “never born proteins” (NBPs). The study of the structure and properties of these proteins allows to investigate the...

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Detalles Bibliográficos
Autores principales: Minervini, Giovanni, Evangelista, Giuseppe, Polticelli, Fabio, Piwowar, Monika, Kochanczyk, Marek, Flis, Lukasz, Malawski, Maciej, Szepieniec, Tomasz, Wiśniowski, Zdzisław, Matczyńska, Ewa, Prymula, Katarzyna, Roterman, Irena
Formato: Texto
Lenguaje:English
Publicado: Biomedical Informatics Publishing Group 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2637968/
https://www.ncbi.nlm.nih.gov/pubmed/19238243
Descripción
Sumario:The number of natural proteins although large is significantly smaller than the theoretical number of proteins that can be obtained combining the 20 natural amino acids, the so-called “never born proteins” (NBPs). The study of the structure and properties of these proteins allows to investigate the sources of the natural proteins being of unique characteristics or special properties. However the structural study of NPBs can also been intended as an ideal test for evaluating the efficiency of software packages for the ab initio protein structure prediction. In this research, 10.000 three-dimensional structures of proteins of completely random sequence generated according to ROSETTA and FOD model were compared. The results show the limits of these software packages, but at the same time indicate that in many cases there is a significant agreement between the prediction obtained.