Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
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 …
GenoM7GNet: An Efficient N7-Methylguanosine Site Prediction Approach Based on a Nucleotide Language Model
N-methylguanosine (m7G), one of the mainstream post-transcriptional RNA modifications,
occupies an exceedingly significant place in medical treatments. However, classic …
occupies an exceedingly significant place in medical treatments. However, classic …
MetaFluAD: meta-learning for predicting antigenic distances among influenza viruses
Q Jia, Y **a, F Dong, W Li - Briefings in Bioinformatics, 2024 - academic.oup.com
Influenza viruses rapidly evolve to evade previously acquired human immunity. Maintaining
vaccine efficacy necessitates continuous monitoring of antigenic differences among strains …
vaccine efficacy necessitates continuous monitoring of antigenic differences among strains …
PREDAC-CNN: predicting antigenic clusters of seasonal influenza A viruses with convolutional neural network
J Meng, J Liu, W Song, H Li, J Wang… - Briefings in …, 2024 - academic.oup.com
Vaccination stands as the most effective and economical strategy for prevention and control
of influenza. The primary target of neutralizing antibodies is the surface antigen …
of influenza. The primary target of neutralizing antibodies is the surface antigen …
TfrAdmCov: a robust transformer encoder based model with Adam optimizer algorithm for COVID-19 mutation prediction
M Burukanli, N Yumuşak - Connection Science, 2024 - Taylor & Francis
The development of vaccines and drugs is very important in combating the coronavirus
disease 2019 (COVID-19) virus. The effectiveness of these developed vaccines and drugs …
disease 2019 (COVID-19) virus. The effectiveness of these developed vaccines and drugs …
MAIVeSS: streamlined selection of antigenically matched, high-yield viruses for seasonal influenza vaccine production
Vaccines are the main pharmaceutical intervention used against the global public health
threat posed by influenza viruses. Timely selection of optimal seed viruses with matched …
threat posed by influenza viruses. Timely selection of optimal seed viruses with matched …
Prediction of antigenic distance in influenza a using attribute network embedding
F Peng, Y **a, W Li - Viruses, 2023 - mdpi.com
Owing to the rapid changes in the antigenicity of influenza viruses, it is difficult for humans to
obtain lasting immunity through antiviral therapy. Hence, tracking the dynamic changes in …
obtain lasting immunity through antiviral therapy. Hence, tracking the dynamic changes in …
A framework for predicting variable-length epitopes of human-adapted viruses using machine learning methods
The coronavirus disease 2019 pandemic has alerted people of the threat caused by viruses.
Vaccine is the most effective way to prevent the disease from spreading. The interaction …
Vaccine is the most effective way to prevent the disease from spreading. The interaction …
Clcap: contrastive learning improves antigenicity prediction for influenza a virus using convolutional neural networks
Influenza viruses are detected year-round over the world and the viruses will usually
circulate during fall and winter, causing the seasonal flu. The growing novel variants of …
circulate during fall and winter, causing the seasonal flu. The growing novel variants of …
2D-convolutional neural network based fault detection and classification of transmission lines using scalogram images
P Nayak, SR Das, RK Mallick, S Mishra, A Althobaiti… - Heliyon, 2024 - cell.com
The reliable operation of power transmission systems is essential for maintaining the
stability and efficiency of the electrical grid. Rapid and accurate detection of faults in …
stability and efficiency of the electrical grid. Rapid and accurate detection of faults in …