Abstract
Identification of unknown protein function is important in biological field based on the fact that proteins are responsible for some vital diseases whose drug is still yet to be discovered. Protein interaction network serves a crucial role in protein function prediction among all the other existed methodologies. Motivated by this fact different neighborhood approaches are proposed by exploiting the various indispensable neighborhood properties of protein interaction network which has added an extra dimension to this field of study.
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Authors are thankful to the “Center for Microprocessor Application for Training and Research” of the Computer Science Department, Jadavpur University, India, for providing infrastructure facilities during progress of the work.
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Saha, S., Chatterjee, P., Basu, S., Nasipuri, M. (2017). Functional Group Prediction of Un-annotated Protein by Exploiting Its Neighborhood Analysis in Saccharomyces Cerevisiae Protein Interaction Network. In: Chaki, R., Saeed, K., Cortesi, A., Chaki, N. (eds) Advanced Computing and Systems for Security. Advances in Intelligent Systems and Computing, vol 568. Springer, Singapore. https://doi.org/10.1007/978-981-10-3391-9_11
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