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DNA-Binding Proteins

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E. globulus leaf EO exhibits anti-inflammatory effects by regulating GSDMD-mediated pyroptosis, thereby alleviating neurological impairment and neuroinflammation in experimental stroke mice.

Journal of ethnopharmacology 38380569
ETHNOPHARMACOLOGICAL RELEVANCE: Aromatic and medicinal plants continue to be a major component of alternative and traditional medicine in the developing countries. Eucalyptus globulus (Labill.) is being employed to cultivation and production in China...
Animals Anti-Infective Agents Anti-Inflammatory Agents DNA-Binding Proteins Infarction, Middle Cerebral Artery Inflammation Interleukin-6 Lipopolysaccharides Mice Microglia Neuroinflammatory Diseases NF-kappa B NLR Family, Pyrin Domain-Containing 3 Protein Plant Leaves Pyroptosis Rats Rats, Sprague-Dawley Stroke Tumor Necrosis Factor-alpha
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Deep-WET: a deep learning-based approach for predicting DNA-binding proteins using word embedding techniques with weighted features.

Scientific reports 38316843
DNA-binding proteins (DBPs) play a significant role in all phases of genetic processes, including DNA recombination, repair, and modification. They are often utilized in drug discovery as fundamental elements of steroids, antibiotics, and anticancer ...
Algorithms Computational Biology Deep Learning DNA-Binding Proteins Machine Learning Neural Networks, Computer
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EPDRNA: A Model for Identifying DNA-RNA Binding Sites in Disease-Related Proteins.

The protein journal 38491248
Protein-DNA and protein-RNA interactions are involved in many biological processes and regulate many cellular functions. Moreover, they are related to many human diseases. To understand the molecular mechanism of protein-DNA binding and protein-RNA b...
Algorithms Binding Sites Computational Biology Databases, Protein DNA DNA-Binding Proteins Humans Machine Learning Protein Binding RNA RNA-Binding Proteins
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ESPDHot: An Effective Machine Learning-Based Approach for Predicting Protein-DNA Interaction Hotspots.

Journal of chemical information and modeling 38587997
Protein-DNA interactions are pivotal to various cellular processes. Precise identification of the hotspot residues for protein-DNA interactions holds great significance for revealing the intricate mechanisms in protein-DNA recognition and for providi...
Algorithms DNA DNA-Binding Proteins Machine Learning Neural Networks, Computer Protein Binding Proteins Support Vector Machine Thermodynamics
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EGPDI: identifying protein-DNA binding sites based on multi-view graph embedding fusion.

Briefings in bioinformatics 38975896
Mechanisms of protein-DNA interactions are involved in a wide range of biological activities and processes. Accurately identifying binding sites between proteins and DNA is crucial for analyzing genetic material, exploring protein functions, and desi...
Algorithms Binding Sites Computational Biology DNA DNA-Binding Proteins Neural Networks, Computer Protein Binding
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Prediction of Protein-DNA Interface Hot Spots Based on Empirical Mode Decomposition and Machine Learning.

Genes 38927611
Protein-DNA complex interactivity plays a crucial role in biological activities such as gene expression, modification, replication and transcription. Understanding the physiological significance of protein-DNA binding interfacial hot spots, as well a...
Algorithms Binding Sites Computational Biology DNA DNA-Binding Proteins Machine Learning Protein Binding
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Improved prediction of DNA and RNA binding proteins with deep learning models.

Briefings in bioinformatics 38856168
Nucleic acid-binding proteins (NABPs), including DNA-binding proteins (DBPs) and RNA-binding proteins (RBPs), play important roles in essential biological processes. To facilitate functional annotation and accurate prediction of different types of NA...
Computational Biology Deep Learning DNA-Binding Proteins Humans Neural Networks, Computer RNA-Binding Proteins
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ProkDBP: Toward more precise identification of prokaryotic DNA binding proteins.

Protein science : a publication of the Protein Society 38747369
Prokaryotic DNA binding proteins (DBPs) play pivotal roles in governing gene regulation, DNA replication, and various cellular functions. Accurate computational models for predicting prokaryotic DBPs hold immense promise in accelerating the discovery...
Algorithms Bacterial Proteins Computational Biology DNA-Binding Proteins Machine Learning
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PreDBP-PLMs: Prediction of DNA-binding proteins based on pre-trained protein language models and convolutional neural networks.

Analytical biochemistry 38986796
The recognition of DNA-binding proteins (DBPs) is the crucial step to understanding their roles in various biological processes such as genetic regulation, gene expression, cell cycle control, DNA repair, and replication within cells. However, conven...
Computational Biology Databases, Protein DNA-Binding Proteins Humans Neural Networks, Computer
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Geometric deep learning of protein-DNA binding specificity.

Nature methods 39103447
Predicting protein-DNA binding specificity is a challenging yet essential task for understanding gene regulation. Protein-DNA complexes usually exhibit binding to a selected DNA target site, whereas a protein binds, with varying degrees of binding sp...
Binding Sites Computational Biology Deep Learning DNA DNA-Binding Proteins Models, Molecular Protein Binding
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