Advances in the research of extracellular matrix protein prediction tools.
- Author:
Binghui LIU
1
;
Jie MA
1
;
Yunping ZHU
1
Author Information
- Publication Type:Journal Article
- Keywords: classification feature; extracellular matrix protein; machine learning; prediction tool
- MeSH: Extracellular Matrix; Extracellular Matrix Proteins
- From: Chinese Journal of Biotechnology 2019;35(9):1571-1580
- CountryChina
- Language:Chinese
- Abstract: Extracellular matrix (ECM) proteins play an important role in a series of biological processes in the cell, and their abnormal regulation can lead to many diseases. The theoretical ECM reference dataset is the basis for efficient identification of extracellular matrix proteins. Researchers have developed various ECM protein prediction tools based on machine learning methods. In this review, the main strategy of development of ECM protein prediction tools that based on machine learning methods has been introduced. Then, advances and specific characters of the existing ECM protein prediction tools have been summarized. Finally, the challenges and possible improvements of ECM protein prediction tools are discussed.
