ALAA OMRAN ALMAGRABI1, YASER DAANIAL KHAN2, SHER AFZAL KHAN3,*
BIOCELL, Vol.45, No.5, pp. 1287-1298, 2021, DOI:10.32604/biocell.2021.013770
Abstract Phosphoaspartate is one of the major components of eukaryotes and prokaryotic two-component signaling
pathways, and it communicates the signal from the sensor of histidine kinase, through the response regulator, to the
DNA alongside transcription features and initiates the transcription of correct response genes. Thus, the prediction of
phosphoaspartate sites is critical, and its experimental identification can be expensive, time-consuming, and tedious.
For this purpose, we propose iPhosD-PseAAC, a new computational model for predicting phosphoaspartate sites in a
particular protein sequence using Chou’s 5-steps rues: (1) Benchmark dataset. (2) The feature extraction techniques
such as pseudo amino acid composition (PseAAC), statistical… More >
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