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Updated: Jun 22, 2026

An Integrated Approach for Microprotein Identification and Sequence Analysis
Published on: July 12, 2022
An S-curve-based approach of identifying biological sequences
Lian-peng Zhao1, Ying-hua Lv, Chun Li
1College of Computer, Northeast Normal University, 130117 Changchun, China. shzlp_1976@163.com
Abstract:
The main idea of S-curve diagram is to assign different angle values (from 0 degrees to 180 degrees ) to different nucleotide acid residues or to different protein amino acids, and then according to cos alpha(j) and sin alpha(j), the values are accumulated to construct an S-curve diagram, which is in strict one-to-one correspondence with the biological sequence. In addition, the S-curve diagram proves to be without the degeneracy phenomenon, so that both the degeneracy problem represented by diagrams and the problem of visualization for biological sequence data are solved. Meanwhile, a new approach to differentiate the similarity of biological sequences--the degree of similarity--is put forward on the basis of the S-curve diagram. To put it in detail, the least square approach is first adopted to obtain a straight line equation according to the S-curve diagram, then according to the distance formula of the point to the straight line, the average ratio of square sum for the distance between the S-curve and the straight line is calculated, and finally, the similarity of the biological sequences is presented by the new standard--the degree of similarity. As is shown by the experimental results, the S-curve diagram can better represent biological sequences (such as protein's) within Cartesian coordinate system, and the mutation point of biological sequence. Thus, it turns out that the new standard-the degree of similarity is of obviously great advantage.
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