Advances in the research of extracellular matrix protein prediction tools / 生物工程学报
Chinese Journal of Biotechnology
;
(12): 1571-1580, 2019.
Artículo
en Chino
| WPRIM
| ID: wpr-771772
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.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Proteínas de la Matriz Extracelular
/
Matriz Extracelular
Tipo de estudio:
Estudio pronóstico
Idioma:
Chino
Revista:
Chinese Journal of Biotechnology
Año:
2019
Tipo del documento:
Artículo
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