منابع مشابه
Predicting and Analyzing Protein Phosphorylation Sites in Plants Using Musite
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متن کاملRunning Title: Protein-Protein Interaction Sites Predicting Protein-Protein Interaction Sites From Amino Acid Sequence
We describe an approach for computational prediction of protein-protein interaction sites using a support vector machine (SVM) classifier. Interface residues and other surface residues were extracted from 115 proteins derived from a set of 70 heterocomplexes in PDB. The SVM classifier was trained to predict whether or not a surface residue is located in the interface based on the identity of th...
متن کاملPredicting Metal-Binding Sites of Protein Residues
Metal ions in protein are critical to the function, structure and stability of protein. For this reason accurate prediction of metal binding sites in protein is very important. Here, we present our study which is performed for predicting metal binding sites for histidines (HIS) and cysteines from protein sequence. Three different methods are applied for this task: Support Vector Machine (SVM), ...
متن کاملPredicting Protein-Protein Interaction Sites From Amino Acid Sequence
We describe an approach for computational prediction of protein-protein interaction sites using a support vector machine (SVM) classifier. Interface residues and other surface residues were extracted from 115 proteins derived from a set of 70 heterocomplexes in PDB. The SVM classifier was trained to predict whether or not a surface residue is located in the interface based on the identity of th...
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ژورنال
عنوان ژورنال: Genome Biology
سال: 2000
ISSN: 1474-760X
DOI: 10.1186/gb-2000-1-1-reports022