Innovative protein translation into music and color image applicable for assessing protein alignment based on
Setareh Ghavami1, Hassan Toozandehjani2, Ghazaleh Ghavami3
1Drug Design and Bioinformatics Unit, Department of Medical Biotechnology, Biotechnology Research Center, Pasteur Institute of Iran, Tehran 13164, Iran; Department of Psychology, School of Humanities, Neyshabur Branch, Islamic Azad University, Neyshabur, Iran.
Abstract:
One of the valuable bioinformatics techniques is protein sequence alignment which is a method of searching, comparing and ordering the sequences of protein. The pointed method is employed to recognize region of similarity which may be a significance of functional, structural, or evolutionary relatives between the protein sequences. In current investigation, an innovative similarity search/alignment algorithm for pattern recognition process of protein structures in the frame of bio-mimicking pattern recognition capabilities of human visual and auditory systems towards investigating more and more novel approaches in the field of protein sequence alignment procedure. The selected approach in current investigation based on the concept of intra scientific facts and using both capabilities of bioinformatics and psychological knowledge led to present the unique automatic translational system (ATS-P) for translating protein structures to musical composition in addition to image color combination towards finalizing innovative pattern and method for protein alignment. Actually during current study, the perception of protein sequence via visual and sonic representation was projected to support researchers in the process of protein pattern recognition and structural demonstrating. In the other word, this presented algorithm confirmed their properties by bio-mimicking of developed visual and auditory perception systems can progress proficient trend to assist protein relevant scientists towards successful protein alignment procedure.
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