In this study a systematic attempt has been made to integrate various approaches in order to
predict allergenic proteins with high accuracy. The dataset used for testing and training …

In this study, an attempt has been made to predict the major functions of gram-negative
bacterial proteins from their amino acid sequences. The dataset used for training and testing …

Proteins are the most essential and versatile macromolecules of life, and the knowledge of
their functions is a crucial link in the development of new drugs, better crops, and even the …

Tremendous progress in DNA sequencing has yielded the genomes of a host of important
organisms. The utilisation of these resources requires understanding of the function of each …

Rapid advances in high-throughout genome sequencing technologies have resulted in
millions of protein-encoding gene sequences with no functional characterization. Automated …

Motivation: A key goal of genomics is to assign function to genes, especially for orphan
sequences. Results: We compared the clustered functional domains in the SBASE database …

Motivation: The description of genes in databases by keywords helps the non-specialist to
quickly grasp the properties of a gene and increases the efficiency of computational tools …

Using our BLAST‐based procedure RiPE (Retrieval‐induced Phylogeny Environment),
which automates the evolutionary analysis of a protein family, we assembled a set of 1138 …

Computational Approaches for Protein Function Prediction Page 1 Computational Approaches
for Protein Function Prediction This work has been supported by NSF grants #CRI-0551551 …

AnaGram is a web service for protein function assignment based on identity detection of
small significant fragments (protomotifs) that can act as modular pieces in peptide …