Abstract:
- Post-Translational Modification (PTM) identification is carried out to determine the position of
the PTM in protein. Acetylation in the lysine protein is one of the many types of PTM that play an
important role in biological processes. In existing research, identification of lysine acetylation was
developed by computational methods, using several available protein descriptors along with classification
methods. Research on protein classification usually only uses the length of the protein sequence to
describe the state of the whole protein, not its local state. Knowing the local state of the protein sequence
will have a good effect on the classification results. To find out the situation, the protein sequence
segmentation approach is done by adjacent and overlapped segments. Adjacent and overlapped
segments divide the length of the protein into several segments, then numerical features will be
calculated, so that information about the protein is also obtained locally. Calculation of numerical features
using the Amino Acid Composition and Dipeptide Composition descriptors, then the data is classified with
Support Vector Machine. The experimental results show that protein segmentation increases the
performance of protein classification by 0.7-2.5%. Segmentation using adjacent and overlapped segments
provides improved performance. In this research, it was found that protein segmentation affected the
performance of protein classification, especially in overlapped segments.
Keyword: lysine acetylation, sequence segmentation, Amino Acid Composition, Dipeptide Composition,
protein classification, Support Vector Machine
