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Protein secondary structure prediction is one of the most important and challenging problems in structural bioinformatics, which has been an essential task in determining the structure and function of the proteins. Despite significant progress made in recent years, protein structure prediction maintains its status as one of the prime unsolved problems in computational biology. A novel probability...
Protein-protein interactions (PPIs) play a key role in many cellular processes, such as the regulation of enzymes, signal transduction or mediating the adhesion of cells. Knowing the PPI types can help the biological scientists understand the molecular mechanism of the cell. Computational approaches for identifying PPI types can reduce the time-consuming and expensive of biological experimental methods...
Protein-RNA interactions are vitally important to a number of fundamental cellular processes, including regulation of gene expression such as RNA splicing, transport and translation, protein synthesis and assembly of ribosome. More detailed information on the Protein-RNA interaction is helpful for comprehending the function notation and molecular regulatory mechanism, meanwhile, knowing the knowledge...
Fast and effective prediction of signal peptides and their cleavage sites is of great importance in computational biology. There are two kinds of approaches developed to predict signal peptides, one of which based on model training approach such as SignalP and SPEPlip, and another based on sliding window method such as PrediSi, Signal-CF and Signal-3L. In this paper, the scaled window method proposed...
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