Accurately identifying hemagglutinin using sequence information and machine learning methods
Introduction Hemagglutinin (HA) is responsible for facilitating viral entry and infection by
promoting the fusion between the host membrane and the virus. Given its significance in the …
promoting the fusion between the host membrane and the virus. Given its significance in the …
Multi-view local hyperplane nearest neighbor model based on independence criterion for identifying vesicular transport proteins
Vesicular transport proteins participate in various biological processes and play a significant
role in the movement of substances within cells. These proteins are associated with …
role in the movement of substances within cells. These proteins are associated with …
Identification of thermophilic proteins based on sequence-based bidirectional representations from transformer-embedding features
Thermophilic proteins have great potential to be utilized as biocatalysts in biotechnology.
Machine learning algorithms are gaining increasing use in identifying such enzymes …
Machine learning algorithms are gaining increasing use in identifying such enzymes …
DeepSecE: a deep-learning-based Framework for multiclass Prediction of secreted Proteins in gram-negative bacteria
Proteins secreted by Gram-negative bacteria are tightly linked to the virulence and
adaptability of these microbes to environmental changes. Accurate identification of such …
adaptability of these microbes to environmental changes. Accurate identification of such …
PseU-Pred: an ensemble model for accurate identification of pseudouridine sites
MT Suleman, YD Khan - Analytical Biochemistry, 2023 - Elsevier
Pseudouridine (ψ) is reported to occur frequently in all types of RNA. This uridine
modification has been shown to be essential for processes such as RNA stability and stress …
modification has been shown to be essential for processes such as RNA stability and stress …
PSAC-6mA: 6mA site identifier using self-attention capsule network based on sequence-positioning
Z Zhou, C Xiao, J Yin, J She, H Duan, C Liu… - Computers in Biology …, 2024 - Elsevier
Abstract DNA N6-methyladenine (6mA) modifications play a pivotal role in the regulation of
growth, development, and diseases in organisms. As a significant epigenetic marker, 6mA …
growth, development, and diseases in organisms. As a significant epigenetic marker, 6mA …
GOLF-Net: Global and local association fusion network for COVID-19 lung infection segmentation
X Xu, L Gao, L Yu - Computers in Biology and Medicine, 2023 - Elsevier
The global spread of the Corona Virus Disease 2019 (COVID-19) has caused significant
health hazards, leading researchers to explore new methods for detecting lung infections …
health hazards, leading researchers to explore new methods for detecting lung infections …
IIFS: An improved incremental feature selection method for protein sequence processing
C Meng, Y Yuan, H Zhao, Y Pei, Z Li - Computers in Biology and Medicine, 2023 - Elsevier
Motivation Discrete features can be obtained from protein sequences using a feature
extraction method. These features are the basis of downstream processing of protein data …
extraction method. These features are the basis of downstream processing of protein data …
A machine learning method to identify umami peptide sequences by using multiplicative LSTM embedded features
Umami peptides enhance the umami taste of food and have good food processing
properties, nutritional value, and numerous potential applications. Wet testing for the …
properties, nutritional value, and numerous potential applications. Wet testing for the …