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SBSM-Pro: support bio-sequence machine for proteins
Proteins play a pivotal role in biological systems. The use of machine learning algorithms for
protein classification can assist and even guide biological experiments, offering crucial …
protein classification can assist and even guide biological experiments, offering crucial …
iAFPs-Mv-BiTCN: Predicting antifungal peptides using self-attention transformer embedding and transform evolutionary based multi-view features with bidirectional …
Globally, fungal infections have become a major health concern in humans. Fungal
diseases generally occur due to the invading fungus appearing on a specific portion of the …
diseases generally occur due to the invading fungus appearing on a specific portion of the …
StackedEnC-AOP: prediction of antioxidant proteins using transform evolutionary and sequential features based multi-scale vector with stacked ensemble learning
Background Antioxidant proteins are involved in several biological processes and can
protect DNA and cells from the damage of free radicals. These proteins regulate the body's …
protect DNA and cells from the damage of free radicals. These proteins regulate the body's …
KK-DBP: a multi-feature fusion method for DNA-binding protein identification based on random forest
Y Jia, S Huang, T Zhang - Frontiers in Genetics, 2021 - frontiersin.org
DNA-binding protein (DBP) is a protein with a special DNA binding domain that is
associated with many important molecular biological mechanisms. Rapid development of …
associated with many important molecular biological mechanisms. Rapid development of …
Gluconeogenesis unraveled: A proteomic Odyssey with machine learning
The metabolic pathway known as gluconeogenesis, which produces glucose from non-
carbohydrate substrates, is essential for maintaining balanced blood sugar levels while …
carbohydrate substrates, is essential for maintaining balanced blood sugar levels while …
Research on DNA‐Binding Protein Identification Method Based on LSTM‐CNN Feature Fusion
Protein is closely related to life activities. As a kind of protein, DNA‐binding protein plays an
irreplaceable role in life activities. Therefore, it is very important to study DNA‐binding …
irreplaceable role in life activities. Therefore, it is very important to study DNA‐binding …
Hybrid_DBP: Prediction of DNA-binding proteins using hybrid features and convolutional neural networks
S Yu, D Peng, W Zhu, B Liao, P Wang… - Frontiers in …, 2022 - frontiersin.org
DNA-binding proteins (DBP) play an essential role in the genetics and evolution of
organisms. A particular DNA sequence could provide underlying therapeutic benefits for …
organisms. A particular DNA sequence could provide underlying therapeutic benefits for …
Application of Feature Extraction and Feature Selection Followed by SMOTE to Improve the Prediction of DNA-Binding Proteins
DNA-binding protein is applied to compact the DNA and regulate different cellular
processes. This protein has been successfully used to handle genetic disorder and critical …
processes. This protein has been successfully used to handle genetic disorder and critical …
Identifying Membrane Protein Types Based on Lifelong Learning With Dynamically Scalable Networks
W Lu, J Shen, Y Zhang, H Wu, Y Qian, X Chen… - Frontiers in …, 2022 - frontiersin.org
Membrane proteins are an essential part of the body's ability to maintain normal life
activities. Further research into membrane proteins, which are present in all aspects of life …
activities. Further research into membrane proteins, which are present in all aspects of life …
Prediction of DNA binding protein using FC feature selection in SVM with PsePSSM feature representation
A Ridok - Proceedings of the 5th International Conference on …, 2020 - dl.acm.org
DNA binding protein (DBP) plays an important role in various biological processes including
DNA replication, recombination, and repair. Because of its important role in various …
DNA replication, recombination, and repair. Because of its important role in various …