Critical evaluation of web-based prediction tools for human protein subcellular localization
Human protein subcellular localization has an important research value in biological
processes, also in elucidating protein functions and identifying drug targets. Over the past …
processes, also in elucidating protein functions and identifying drug targets. Over the past …
[HTML][HTML] Protein subcellular localization prediction tools
Protein subcellular localization prediction is of great significance in bioinformatics and
biological research. Most of the proteins do not have experimentally determined localization …
biological research. Most of the proteins do not have experimentally determined localization …
StackPDB: predicting DNA-binding proteins based on XGB-RFE feature optimization and stacked ensemble classifier
Q Zhang, P Liu, X Wang, Y Zhang, Y Han, B Yu - Applied Soft Computing, 2021 - Elsevier
DNA-binding proteins (DBPs) not only play an important role in all aspects of genetic
activities such as DNA replication, recombination, repair, and modification but also are used …
activities such as DNA replication, recombination, repair, and modification but also are used …
ML-FGAT: Identification of multi-label protein subcellular localization by interpretable graph attention networks and feature-generative adversarial networks
C Wang, Y Wang, P Ding, S Li, X Yu, B Yu - Computers in Biology and …, 2024 - Elsevier
The prediction of multi-label protein subcellular localization (SCL) is a pivotal area in
bioinformatics research. Recent advancements in protein structure research have facilitated …
bioinformatics research. Recent advancements in protein structure research have facilitated …
DEEPStack-RBP: Accurate identification of RNA-binding proteins based on autoencoder feature selection and deep stacking ensemble classifier
RNA-binding proteins (RBPs) are involved in a number of biological processes such as RNA
synthesis, protein folding, alternative splicing, etc. Predicting RBPs can facilitate the …
synthesis, protein folding, alternative splicing, etc. Predicting RBPs can facilitate the …
DRBPPred-GAT: Accurate prediction of DNA-binding proteins and RNA-binding proteins based on graph multi-head attention network
X Zhang, Y Wang, Q Wei, S He, A Salhi, B Yu - Knowledge-Based Systems, 2024 - Elsevier
DNA-binding proteins (DBPs) and RNA-binding proteins (RBPs) play a crucial role in
regulating various cellular functions that are closely associated with human disease …
regulating various cellular functions that are closely associated with human disease …
Research on predicting early Fusarium head blight with asymptomatic wheat grains by micro-near infrared spectrometer
W Ba, X **, J Lu, Y Rao, T Zhang, XD Zhang… - … Acta Part A: Molecular …, 2023 - Elsevier
Fusarium head blight (FHB) is considered one of the most serious fungal diseases of wheat.
Fusarium resulted in yield losses and contamination of harvested grains with mycotoxins …
Fusarium resulted in yield losses and contamination of harvested grains with mycotoxins …
ProtDec-LTR3. 0: protein remote homology detection by incorporating profile-based features into learning to rank
B Liu, Y Zhu - Ieee Access, 2019 - ieeexplore.ieee.org
Protein remote homology detection is one of the most challenging problems in the field of
protein sequence analysis, which is an important step for both theoretical research (such as …
protein sequence analysis, which is an important step for both theoretical research (such as …
Prediction of subcellular location of apoptosis proteins by incorporating PsePSSM and DCCA coefficient based on LFDA dimensionality reduction
B Yu, S Li, W Qiu, M Wang, J Du, Y Zhang, X Chen - BMC genomics, 2018 - Springer
Background Apoptosis is associated with some human diseases, including cancer,
autoimmune disease, neurodegenerative disease and ischemic damage, etc. Apoptosis …
autoimmune disease, neurodegenerative disease and ischemic damage, etc. Apoptosis …
Accurate prediction of multi-label protein subcellular localization through multi-view feature learning with RBRL classifier
Q Zhang, Y Zhang, S Li, Y Han, S **… - Briefings in …, 2021 - academic.oup.com
Multi-label proteins can participate in carrier transportation, enzyme catalysis, hormone
regulation and other life activities. Meanwhile, they play a key role in the fields of …
regulation and other life activities. Meanwhile, they play a key role in the fields of …