Current Proteomics - Volume 15, Issue 5, 2018

A parallel and distributed computing mining system is proposed for finding protein-protein interaction literatures from the databases on the Internet. In the proposed system, we try to find out discriminating words for protein-protein interaction by way of text mining from the literatures. A threshold called matching-degree is also evaluated to check if a given literature might related to protein- protein interactions. Furtherm Read More

Background: The accurate classification of microarray data has been a great challenge in machine learning due to its high dimensionality and small number of samples. Feature selection is an effective way to deal with such data. Objective: Feature subset that maximizes feature-feature diversity as well as feature-class relevance is selected to improve the predictive efficiency and reduce the cost of feature acquisition. Moreover, t Read More

Background: DNA-binding proteins are vital cellular components, and their identification is important for the understanding of biological processes. Traditional methods for the prediction of protein function are both time-consuming and expensive. With the development of bioinformatics, a large amount of protein sequence information is available to researchers, necessitating the development of an efficient predictor for identific Read More

Background: The need to enhance the stability of proteins is vital to protein engineering and design. The manipulation of protein stability is also important to understand the principles that govern protein thermostability, both in basic research and industrial application. Objective: To build models that can discriminate thermophilic and mesophilic proteins and comprehend the factors influencing protein thermostability using Read More

Background: Reliable and precise classification methods for tumor types have started to see wide deployment, in particular in the area of cancer diagnosis and personalized cancer drug design. The traditional Sparse Representation-based Classification (SRC) method can achieve high accuracy for tumor classification but also suffer from inefficiency when handling noisy datasets. To resist such disadvantage, some researchers pr Read More

Background: The Cardiac Purkinje System (CPS), mainly locating on the endo-cardial surface, is very important to physio-pathology of the ventricle, diseases on which are the most in the whole heart. The location and the width of branches are essential to the paths of the electrical signal activation on CPS. However, current ventricle models are presented inclined to ignore its real geometry or use some simple geometry t Read More

Molecular tags are becoming increasingly popular and useful for the study of biological macromolecules like proteins. Thus tags have been used to investigate structural and functional properties of proteins including their cellular/tissue distributions, localizations, imaging, interacting partners, trafficking routes, isolations, purifications and characterizations. Today, in-depth biochemical and functional research of proteins are pos Read More