Predicting the Start of Protein α-Helices Using Machine Learning Algorithms
Rui Camacho, Rita Ferreira, Natacha Rosa, Vânia Guimarães, Nuno A. Fonseca, Vítor Santos Costa, Miguel de Sousa and Alexandre Magalhães
June 2010
Abstract
Proteins are complex structures synthesised by living organisms. They
are actually a fundamental type of molecules and can perform a large
number of functions in cell biology. Proteins can assume catalytic
roles and accelerate or inhibit chemical reactions in our body. They
can assume roles of transportation of smaller molecules, storage,
movement, mechanical support, immunity and control of cell growth and
differentiation. All of these functions rely on the 3D-structure of
the protein. The process of going from a linear sequence of amino
acids, that together compose a protein, to the protein’s 3D shape is
named protein folding. Anfinsen’s work has proven that primary
structure determines the way protein folds. Protein folding is so
important that whenever it does not occur correctly it may produce
diseases such as Alzheimer’s, Bovine Spongiform Encephalopathy (BSE),
usually known as mad cows disease, Creutzfeldt-Jakob (CJD) disease, a
Amyotrophic Lateral Sclerosis (ALS), Huntingtons syndrome, Parkinson
disease, and other diseases related to cancer.
Bibtex
@InProceedings{camacho-iwpacbb10,
author = {R. Camacho and R. Ferreira and N. Rosa and V. Guimarães and
N. A. Fonseca and V. Santos Costa and M. de Sousa and A. Magalhães},
title = {{Predicting the Start of Protein α-Helices Using Machine Learning Algorithms}},
booktitle = {{Proceedings of the 4th International Workshop on Practical Applications
of Computational Biology and Bioinformatics (IWPACBB 2010)}},
pages = {33--41},
volume = {74},
series = {Advances in Soft Computing},
publisher = {Springer},
editor = {M. P. Rocha and F. F. Riverola and H. Shatkay and J. M. Corchado},
month = {June},
year = {2010},
address = {Guimarães, Portugal},
}
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