WCCI – IJCNN 2008 Special Session

NN09 - Prediction of protein structures and features

Organizers:

Shandar Ahmad, National Institute of Biomedical Innovation, Osaka, Japan (shandarahmad@yahoo.com)

Michael Gromiha, Computational Biology Research Center, AIST, Tokyo, Japan (michael-gromiha@aist.go.jp)

Paper submission deadline: December 1, 2007

For instruction on paper submission, visit WCCI website: http://www.wcci2008.org/

Synopsis

Biological experiments to determine structure and function of proteins are far behind those generating sequences. Computational methods to determine structure and function of a protein from its amino acid sequence have a challenging task despite the widely held view that all structural information is available from the amino acid sequence of a protein. At a local level, structure and function of a protein have been computationally defined in the form of features such as secondary structure, solvent accessibility, disorder and dihedral angles. Also, function has been typically the residue-wise characterization of protein-protein, protein-DNA and protein-ligand interaction sites. On a full sequence scale, such characterization is aimed at identifying structure class, fold, and topology of the protein and protein-protein interaction pairs.

Researchers have widely used neural networks related paradigms such as MLP, recurrent networks, SVM, evolutionary algorithms, etc., to predict protein structure and functional features. This has led to a number of models, algorithms and web servers providing useful predictions. We invite papers dealing with all aspects of prediction and modeling of protein structure and function by computational approaches. The areas of interests are but not limited to as follows:

· Prediction of protein secondary and 3-D structure

· Prediction of binding sites

· Prediction of protein-protein interaction pairs

· Prediction of solvent exposure, trans-membrane and disordered regions.

· Prediction of domains, domain boundaries, class, fold and architecture.

· Computational theories and intelligent models of proteins

· Knowledge representation and feature selection

· Protocol optimization and automation for protein structure and function prediction

This special session is organized by IAPR Technical Committee on Pattern Recognition on Bioinformatics (TC-20)

Technical Committee of IJCNN-SS-NN09

Shandar Ahmad, National Institute of Biomedical Innovation, Japan

Zulfiqar Ahmad, East Tennessee State University, USA

Samuel Selvaraj, Bhartidasan University, India

Dongbo Bu, Chinese Academy of Sciences, China

Xin Gao, Univ. of Waterloo, Canada

Michael Gromiha, Computational Biology Research Center, AIST, Japan

A.Y. Istomin, University of North Carolina Charlotte, USA

S. C. Li, Univ. of Waterloo, Canada

Chioko Nagao, National Institute of Biomedical Innovation, Japan

Ponraj Prabhakaran, Duke University, USA

Shaikh Abdul Rajjak, Kyoto University, Japan

Y. H. Taguchi, Chuo University, Japan