DeepSec: a deep learning framework for secreted protein discovery in human body fluids

• DOI: 10.1093/bioinformatics/btab545
• Publication Date: 2021-08-13T19:10:56Z
• Authors: Dan Shao; Lan Huang; Yan Wang; Kai He; Xueteng Cui; Yao Wang; Qin Ma; Juan Cui
• Keywords: 0301 basic medicine; 03 medical and health sciences; Deep Learning; Computer Sciences; Humans; Proteins; 006; Neural Networks, Computer; Original Papers; Software; Body Fluids; 3. Good health

Human proteins that are secreted into different body fluids from various cells and tissues can be promising disease indicators. Modern proteomics research empowered by both qualitative quantitative profiling techniques has made great progress in protein discovery human fluids. However, due to the large number of diverse modifications present fluids, as well existing technical limits major platforms (e.g. mass spectrometry), discrepancies often generated experimental studies. As a result, comprehensive landscape across not determined.