UNLABELLED Protein function prediction (PFP) is an automated function prediction method that predicts Gene Ontology (GO) annotations for a protein sequence using distantly related sequences and contextual associations of GO terms. Extended similarity group (ESG) is another GO prediction algorithm that makes predictions based on iterative sequence database searches. Here, we provide interactive ...

The prediction of the topology of transmembrane proteins is an important foundation in the research of bioinformatics. In this paper, information fusion theory has been introduced to locate the transmembrane regions and find their orientation. The proposed method, which is on the basis of the power average operator and a kind of similarity degree of interval numbers, considers a transmembrane r...

UNLABELLED The AllergenPro database has developed a web-based system that will provide information about allergen in microbes, animals and plants. The database has three major parts and functions:(i) database list; (ii) allergen search; and (iii) allergenicity prediction. The database contains 2,434 allergens related information readily available in the database such as on allergens in rice mic...

Prediction methods for identifying binding peptides could minimize the number of peptides required to be synthesized and assayed, and thereby facilitate the identification of potential T-cell epitopes. We developed a bioinformatics method for the prediction of peptide binding to T-cell molecules. The major T-cell contributors are selected for the dataset preparation due to its availability and ...

Bromelain is a general name for a family of sulfhydryl that can be found in the proteolytic enzyme group from pineapples (Ananas Comosus). In this study focuses on the prediction of three dimensional structure (3D) of bromelain using homology modelling by MODELLER. The amino acid sequence of bromelain was obtained from the NCBI database and the analysis was done using various bioinformatics too...

Proteomics is an emerging field of modern biotechnology and an attractive research area in bioinformatics. Protein annotation by mass spectrometry has recently been utilized for the classification and prediction of diseases. In this paper we apply the theory of linear predictive coding and its decision logic for the prediction of major adverse cardiac risk using mass spectra. The new method was...

Protein function prediction, i.e. classification of protein sequences according to their biological function is an important task in bioinformatics. We propose a study of function prediction that uses protein sequence motifs as features; the result will be a system with state-of-the-art performance in function prediction, that provides interpretable results that can help in providing biological...

The META-PP server (http://cubic.bioc.columbia.edu/meta/) simplifies access to a battery of public protein structure and function prediction servers by providing a common and stable web-based interface. The goal is to make these powerful and increasingly essential methods more readily available to nonexpert users and the bioinformatics community at large. At present META-PP provides access to a...

Here, we present the new UCL Bioinformatics Group's PSIPRED Protein Analysis Workbench. The Workbench unites all of our previously available analysis methods into a single web-based framework. The new web portal provides a greatly streamlined user interface with a number of new features to allow users to better explore their results. We offer a number of additional services to enable computatio...

Membrane proteins play important roles in the biology of the cell, including intercellular communication and molecular transport. Their well-established importance notwithstanding, the high-resolution structures of membrane proteins remain elusive due to difficulties in protein expression, purification and crystallization. Thus, accurate prediction of membrane protein topology can increase the ...