Pattern mining and knowledge discovery is an important area of research especially for the huge temporal dataset. The present paper discusses a biologically inspired classification method which would help discovering meaningful hidden pattern in dataset for classification. The process emulates the protein synthesis methodology based on the information encoded in the DNA/RNA (Deoxyribo Nucleic Acid/Ribo Nucleic Acid) sequences which encompasses three stages i.e., transcription, splicing and translation. More specifically, we consider a knowledge discovery paradigm (classifying humanoid robot gestures correctly) and formulate an algorithm which is based on protein synthesis mechanism. Our proposed algorithm allows true exploratory knowledge discovery, which is time efficient and robust and require simple input data format than the conventional algorithms.
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