IJCAT addresses issues of computer applications, information and communication systems, software engineering and management, CAD/CAM/CAE, numerical analysis and simulations, finite element methods and analyses, robotics, computer applications in multimedia and new technologies, computer aided learning and training. Contents: IJCAT is a refereed, international journal, published quarterly, providing an international forum and an authoritative source of information in the field of Computer Applications and related Information Technology.

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Physical interactions between the proteins in a living organism helps in identification of most protein-protein interaction data. The annotated proteins are previously known by their functions. Their knowledge is definite. The unannotated proteins are annotated based on estimation of such similar functions. Generally a cluster containing annotated nodes with their adjacent unlabeled nodes is assumed to have homogeneity of functions within. Though the interaction data are generally very noisy, a Bayesian model is presented to predict protein functions after a series of known experiments or several hypotheses over neighborhood properties are conducted or assumed. The experimental results in this effort have shown that there is a better performance in evaluation of weighted accuracy of functions over prediction of data set.