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Protein function prediction is an active research area in bioinformatics. Protein functions are highly related to their structures. Therefore, effective structure based protein representations are required. Pires et al. [BMC Genomics, 12, S12 (2011)] proposed a cutoff scanning matrix (CSM) method for protein representation that utilizes distance patterns between protein residues and a maximum cutoff...
In this paper, a new system is proposed to improve the performance of protein-RNA interaction prediction. First of all, the protein sequences are quantized into a high dimension space using an effective sequence encoding scheme. However, the problem caused by such representation is small sample size problem, where the data dimension is much larger than the sample size. To sort out this problem, a...
Protein structure determination is crucial to understand a protein's function and to develop drugs against diseases. Nuclear Magnetic Resonance (NMR1) spectroscopy is an experimental technique that allows one to study protein structure in solution. In NMR Structure-based assignment problem, the aim is to assign experimentally observed peaks to the specific nuclei of the target molecule by using a...
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