Proceedings of the 2nd International Conference on Biomedical and Biological Engineering 2017 (BBE 2017)

Identifying the Sulfate Ion Binding Residues in Proteins

Authors
Shao-bo LI, Xiu-zhen HU, Li-xia SUN, Xiao-jin ZHANG
Corresponding Author
Shao-bo LI
Available Online May 2017.
DOI
https://doi.org/10.2991/bbe-17.2017.34How to use a DOI?
Keywords
Sulfate Ion Ligand, Binding Residue, Support Vector Machine.
Abstract
Many proteins function execution depends on the process of protein and ligand interact with each other. The identification of ligand binding residues is important for the research of the protein function. The 4442 protein chains with <25% sequence identity and resolution <3.0  were analyzed using Ligand Protein Contact database. Our final dataset contained 8112 sulfate ion binding residues (SIBR). We did a statistical analysis on window size as 7 amino acids. Using the amino acid composition, hydropathy information, correlation information and predicted structure information as the characteristic parameter, a Support Vector Machine algorithm for identifying sulphate ion binding residues was proposed. The overall accuracy and Matthew's correlation coefficient achieved 78.5% and 0.571 using the 5 fold cross validation. The Acc and MCC achieved 72.7% and 0.455 by using independent test. In addition, an online web server was established. http://202.207.30.72:7321/
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference on Biomedical and Biological Engineering 2017 (BBE 2017)
Part of series
Advances in Biological Sciences Research
Publication Date
May 2017
ISBN
978-94-6252-362-3
ISSN
2468-5747
DOI
https://doi.org/10.2991/bbe-17.2017.34How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Shao-bo LI
AU  - Xiu-zhen HU
AU  - Li-xia SUN
AU  - Xiao-jin ZHANG
PY  - 2017/05
DA  - 2017/05
TI  - Identifying the Sulfate Ion Binding Residues in Proteins
BT  - 2nd International Conference on Biomedical and Biological Engineering 2017 (BBE 2017)
PB  - Atlantis Press
SN  - 2468-5747
UR  - https://doi.org/10.2991/bbe-17.2017.34
DO  - https://doi.org/10.2991/bbe-17.2017.34
ID  - LI2017/05
ER  -