Inferring homologous protein-protein interactions through pair position specific scoring matrix

Identifying Protein Short Linear Motifs by Position-Specific Scoring Matrix

Protein Structural Class Prediction via k-Separated Bigrams Using Position Specific Scoring Matrix

Protein structural class prediction (SCP) is as important task in identifying protein tertiary structure and protein functions. In this study, we propose a feature extraction technique to predict secondary structures. The technique utilizes bigram (of adjacent and k-separated amino acids) information derived from Position Specific Scoring Matrix (PSSM). The technique has shown promising results...

Predicting the protein disordered region using modified position specific scoring matrix

Department of Computer Science, Graduate School of Science and Engineering, Waseda University, 17 kikui-cho, Shinjuku-ku, Tokyo, 162-0044, Japan Computational Biology Research Center, National Institute of Advanced Industrial Science and Technology, Aomi-Frontier 17F, 2-43 Aomi, Koto-ku, Tokyo, 135-0064, Japan 3 Pharma Design inc., Haseko Hatchobori Build, 2-19-8 Hatchobori, Chuo-ku, Tokyo, 104...

Protein secondary structure prediction based on position-specific scoring matrices.

A two-stage neural network has been used to predict protein secondary structure based on the position specific scoring matrices generated by PSI-BLAST. Despite the simplicity and convenience of the approach used, the results are found to be superior to those produced by other methods, including the popular PHD method according to our own benchmarking results and the results from the recent Crit...

A novel structural position-specific scoring matrix for the prediction of protein secondary structures

MOTIVATION The precise prediction of protein secondary structure is of key importance for the prediction of 3D structure and biological function. Although the development of many excellent methods over the last few decades has allowed the achievement of prediction accuracies of up to 80%, progress seems to have reached a bottleneck, and further improvements in accuracy have proven difficult. ...