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https://doi.org/10.37358/Rev.Chim.1949

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Revista de Chimie (Rev. Chim.), Year 2008, Volume 59, Issue 2, 199-204

https://doi.org/10.37358/RC.08.2.1733

Alexandru Woinaroschy

Prediction of Protein Secondary-Structure by Monte Carlo Simulation

Abstract:

Proteins have four structural categories. The primary structure is the amino-acid sequence of the polypeptide chain. The secondary structure is the conformation, representing of the backbone (a-helix or b-sheet). The knowledge of protein structure has a paramount theoretical and practical importance (e.g. cancer disease) and a huge effort of research was devoted to this subject. Despite the fact that several methods were developed for protein secondary-structure prediction, there are no consensuses of their results. In this paper was proposed an new, original, method to investigate the influence of the number of amino acids and the percentage contents in the twenty amino acids for the prediction of protein secondary-structure, respectively Monte Carlo simulation using a multilayer neural networks. The method is very promising in connection with the use of large data bases.

Keywords:
protein secondary-structure; Monte Carlo simulation; neural networks

Issue: 2008, Volume 59, Issue 2
Pages: 199-204
Publication date: 2008/3/9
https://doi.org/10.37358/RC.08.2.1733
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