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In bioinformatics fields, Predicting protein subcellular location is an important task, because protein has to be located in its proper position in a cell to perform its biological functions. Therefore, predicting protein location is an important and challenging task in current molecular and cellular biology. In this paper, a computational method based AdaBoost.M1 algorithm and pseudo amino acids...
G-Protein coupled receptors (GPCRs) constitute the largest group of membrane receptors with great pharmacological interest. The signal transduction within cells is leaded by a wide range of native ligands interact and activate GPCRs. Most of these responses are mediated through the interaction of GPCRs with coupling GTP-binding proteins (G-proteins). For the reason of the information explosion in...
Transmembrane proteins play important roles in biology. They are especially important in signal reception, molecular pumping and energy transduction. Their medical importance is also growing rapidly after the completion of many large genome projects. In this paper, a mouse transmembrane protein types database was constructed. Based on the concept of representing protein samples in terms of their amino...
By using of the composite vector with increment of diversity and scoring function to express the information of sequence, a support vector machine (SVM) algorithm for predicting the eight types of membrane proteins is proposed. The overall jackknife success rate is 91.81% what is higher than other results. In order to evaluate the predictive method, the six types of membrane proteins are predicted...
The membrane protein type is an important feature in characterizing the overall topological folding type of a protein or its domains therein. How to fast and efficiently annotate the type of an uncharacterized membrane protein is a challenge. Some discrete models, such as DC (dipeptide composition) have been proposed to represent a protein sequence in the field of predicting membrane protein types...
Knowing type of an uncharacterized membrane protein often provides a useful clue in both basic research and drug discovery. With the explosion of protein sequences generated in the post genomic era, determination of membrane proteins types by experimental methods is expensive and time consuming. It therefore becomes important to develop an automated method to find the possible type of membrane protein...
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