[HTML][HTML] Computational prediction of secreted proteins in gram-negative bacteria
X Hui, Z Chen, J Zhang, M Lu, X Cai, Y Deng… - Computational and …, 2021 - Elsevier
Gram-negative bacteria harness multiple protein secretion systems and secrete a large
proportion of the proteome. Proteins can be exported to periplasmic space, integrated into …
proportion of the proteome. Proteins can be exported to periplasmic space, integrated into …
MemBrain: an easy-to-use online webserver for transmembrane protein structure prediction
Membrane proteins are an important kind of proteins embedded in the membranes of cells
and play crucial roles in living organisms, such as ion channels, transporters, receptors …
and play crucial roles in living organisms, such as ion channels, transporters, receptors …
A novel dictionary learning method based on total least squares approach with application in high dimensional biological data
P Parvasideh, M Rezghi - Advances in Data Analysis and Classification, 2021 - Springer
In recent years dictionary learning has become a favorite sparse feature extraction
technique. Dictionary learning represents each data as a sparse combination of atoms …
technique. Dictionary learning represents each data as a sparse combination of atoms …
GLMFD: An Attention-Based CNN-LSTM Model for Transmembrane Domains Localization
Q Ma, F Yang, K Zou, Z Zhang - 2022 3rd International …, 2022 - ieeexplore.ieee.org
The transmembrane domains (TMDs) are involved in many significant protein-protein
interactions. Structural information of TMDs is necessary for increasing our understanding of …
interactions. Structural information of TMDs is necessary for increasing our understanding of …