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The increasing protein sequences from the genome project require theoretical methods to predict transmembrane helical segments (TMHs). In this paper, a method based on discrete wavelet transform (DWT) has been developed to predict the number and location of TMHs in membrane proteins. PDB coded as 1F88 is chosen as an example to describe the prediction process with this method. One group of test data...
Membrane protein interactions are involved in the regulation and execution of all biochemical pathways within the cell. It is crucial to identify the binding partners for understanding the function of an uncharacterized protein, and when these partners turn out to have known function, deductions about the potential role of the uncharacterized protein can often be made. However, the analysis of interactions...
In the early seventies, it was clear that primary amino acid sequence and its local solution environment hold most of the information necessary for protein folding. Since then, scientists have been trying to solve the bioinformatics problem by constructing the tertiary three-dimensional structure of protein from the primary amino acid sequences by using computational biology. Success of several genome...
In our attempts to construct methods for automated structural and functional annotation of proteins, the prediction of intrinsically unstructured/disordered protein (IUP) regions, i.e. those with a lack of stable secondary or tertiary structure, has recently gained importance. We developed a software tool for identifying IUP and structured protein regions. The predictor uses both supervised and unsupervised...
Many of the central questions in bioinformatics relate to protein structure and function. We are mainly be concerned with three problems: identifying transmembrane segments in proteins, distinguishing disordered from ordered regions, and determining protein function from sequence information. In order to deal effectively with these problems, we have conducted an in-depth analyses of the physiochemical...
Advances in genome sequencing technology have led to an exploration in the amount of sequence data available, learning from proteins coded for by genomes is a difficult task. Bioinformatics is thus a burgeoning field that holds great promise for deepening our understanding of biochemical pathways, for understanding the genetic differences between species and how they arose, and for understanding the...
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