Protein Secondary Structure Prediction using Multiple Neural Network Likelihood Models
نویسندگان
چکیده
منابع مشابه
Protein Secondary Structure Prediction using Multiple Neural Network Likelihood Models
Predicting Alpha-helicies, Beta-sheets and Turns of a proteins secondary structure is a complex non-linear task that has been approached by several techniques such as Neural Networks, Genetic Algorithms, Decision Trees and other statistical or heuristic methods. This project introduces a new machine learning method by combining Bayesian Inference with offline trained Multilayered Perceptron (ML...
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Predicting Alpha-helicies, Beta-sheets and Turns of a proteins secondary structure is a complex non-linear task that has been approached by several techniques such as Neural Networks, Genetic Algorithms, Decision Trees and other statistical or heuristic methods. This project introduces a new machine learning method by combining Bayesian Inference with offline trained Multilayered Perceptron (ML...
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Some properties of a protein can be determined from Knowing the secondary structure of the protein. The known structure of proteins so far was done using a technique called X-ray diffraction patterns of crystallized then the data from the process is fed through the DSSP algorithm(Kabsch and Sander, 1983) to determine the exact protein structure. The process is time consuming and expensive. Ther...
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Proteins are key biological molecules with diverse functions. With newer technologies producing more data (genomics, proteomics) than can be annotated manually, in silico methods of predicting their structure and thereafter their function has been christened the Holy Grail of structural bioinformatics. Successful secondary structure prediction provides a starting point for direct tertiary struc...
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Protein secondary structure prediction is a problem related to structural bioinformatics which deals with the prediction and analysis of macromolecules i.e. DNA, RNA and protein. It is an important step towards elucidating its three dimensional structure, as well as its function. Secondary structure of a protein can be predicted from its primary structures i.e. from the amino
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ژورنال
عنوان ژورنال: International Journal of Fuzzy Logic and Intelligent Systems
سال: 2010
ISSN: 1598-2645
DOI: 10.5391/ijfis.2010.10.4.314