Before laboratory testing, bioinformatics problems often require a machine-learned predictor to identify the most likely choices among a wealth of possibilities. Researchers may advocate different predictors for the same problem, none of which is best in all situations. This paper introduces a casebased meta-predictor that combines a set of elaborate, preexisting predictors to improve their acc...

Membrane-binding peripheral proteins play important roles in many biological processes, including cell signaling and membrane trafficking. Unlike integral membrane proteins, these proteins bind the membrane mostly in a reversible manner. Since peripheral proteins do not have canonical transmembrane segments, it is difficult to identify them from their amino acid sequences. As a first step towar...

rotein structure prediction from a sequence is one of the high focus problems for researchers.This is a very useful application of bioinformatics as the experimental techniques like X-ray crystallography are time consuming.The fundamental issue is how can we predict the 3-D shape of a protein from its amino acid sequence. In this paper we will learn how to predict protein structure and function...

staphylococcus aureus carrying pvl gene remain major health problem associated with highly virulent infections. characterization of such gene is important to know the impact and the functional significance of nucleotide variations. pcr and standard sequencing were performed for twelve sudanese strains from different sources. protein structures prediction, modeling and physiochemical analysis we...

This paper exclusively reports the efficiency of AISINMACA. AIS-INMACA has created good impact on solving major problems in bioinformatics like protein region identification and promoter region prediction with less time (Pokkuluri Kiran Sree, 2014). This AIS-INMACA is now came with several variations (Pokkuluri Kiran Sree, 2014) towards projecting it as a tool in bioinformatics for solving many...

Supporting Information S2 An Evaluation Protocol for Subtype-Specific Breast Cancer Event Prediction Herman MJ Sontrop, Wim FJ Verhaegh, Marcel JT Reinders, Perry D Moerland3,4,∗ 1 Molecular Diagnostics Department, Philips Research, High Tech Campus 11, 5656 AE Eindhoven, The Netherlands 2 Delft Bioinformatics Lab, Delft University of Technology, Mekelweg 4, 2628 CD Delft, The Netherlands 3 Bio...

One of the major tasks in bioinformatics is the classification and prediction of biological data. With the rapid increase in size of the biological databanks, it is essential to use computer programs to automate the classification process. At present, the computer programs that give the best prediction performance are support vector machines (SVMs). This is because SVMs are designed to maximise...

Bioinformatics is an important approach for the management of biological data on a larger scale. It is basically an emerging interdisciplinary field of modern biotechnology that develops methods and softwares for an understanding of biological data. For data analysis or interpretations, bioinformatics utilizes in-silico approach to answering the biomedical questions using mathematical and stati...