SBSM-Pro: support bio-sequence machine for proteins

Y Wang, Y Zhai, Y Ding, Q Zou - Science China Information Sciences, 2024 - Springer
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 …

iAFPs-Mv-BiTCN: Predicting antifungal peptides using self-attention transformer embedding and transform evolutionary based multi-view features with bidirectional …

S Akbar, Q Zou, A Raza, FK Alarfaj - Artificial Intelligence in Medicine, 2024 - Elsevier
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 …

StackedEnC-AOP: prediction of antioxidant proteins using transform evolutionary and sequential features based multi-scale vector with stacked ensemble learning

G Rukh, S Akbar, G Rehman, FK Alarfaj, Q Zou - BMC bioinformatics, 2024 - Springer
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 …

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 …

Gluconeogenesis unraveled: A proteomic Odyssey with machine learning

SA Khawaja, F Alturise, T Alkhalifah, SA Khan… - Methods, 2024 - Elsevier
The metabolic pathway known as gluconeogenesis, which produces glucose from non-
carbohydrate substrates, is essential for maintaining balanced blood sugar levels while …

Research on DNA‐Binding Protein Identification Method Based on LSTM‐CNN Feature Fusion

W Lu, X Chen, Y Zhang, H Wu, Y Ding… - … Methods in Medicine, 2022 - Wiley Online Library
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 …

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 …

Application of Feature Extraction and Feature Selection Followed by SMOTE to Improve the Prediction of DNA-Binding Proteins

AK Tiwari, S Shreevastava, N Kumari, A Malik… - Fuzzy, Rough and …, 2023 - Springer
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 …

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 …

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 …