AIMC Topic: DNA-Binding Proteins

Clear Filters Showing 11 to 20 of 101 articles

PreDBP-PLMs: Prediction of DNA-binding proteins based on pre-trained protein language models and convolutional neural networks.

Analytical biochemistry Jul 8, 2024
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
View on PubMed DOI

Prediction of Protein-DNA Interface Hot Spots Based on Empirical Mode Decomposition and Machine Learning.

Genes May 23, 2024
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...
Computational Biology DNA DNA-Binding Proteins Algorithms Machine Learning Binding Sites Protein Binding
View on PubMed DOI

ESPDHot: An Effective Machine Learning-Based Approach for Predicting Protein-DNA Interaction Hotspots.

Journal of chemical information and modeling Apr 8, 2024
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...
Support Vector Machine Proteins DNA DNA-Binding Proteins Thermodynamics Machine Learning Neural Networks, Computer Algorithms Protein Binding
View on PubMed DOI

EPDRNA: A Model for Identifying DNA-RNA Binding Sites in Disease-Related Proteins.

The protein journal Mar 16, 2024
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...
Machine Learning Algorithms Protein Binding Humans DNA DNA-Binding Proteins RNA Computational Biology RNA-Binding Proteins Databases, Protein Binding Sites
View on PubMed DOI

Deep-WET: a deep learning-based approach for predicting DNA-binding proteins using word embedding techniques with weighted features.

Scientific reports Feb 5, 2024
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 ...
DNA-Binding Proteins Neural Networks, Computer Machine Learning Algorithms Deep Learning Computational Biology
View on PubMed DOI

DRBpred: A sequence-based machine learning method to effectively predict DNA- and RNA-binding residues.

Computers in biology and medicine Jan 29, 2024
DNA-binding and RNA-binding proteins are essential to an organism's normal life cycle. These proteins have diverse functions in various biological processes. DNA-binding proteins are crucial for DNA replication, transcription, repair, packaging, and ...
RNA-Binding Proteins Machine Learning Databases, Protein Algorithms DNA Computational Biology Amino Acids DNA-Binding Proteins RNA
View on PubMed DOI

DBPboost:A method of classification of DNA-binding proteins based on improved differential evolution algorithm and feature extraction.

Methods (San Diego, Calif.) Jan 17, 2024
DNA-binding proteins are a class of proteins that can interact with DNA molecules through physical and chemical interactions. Their main functions include regulating gene expression, maintaining chromosome structure and stability, and more. DNA-bindi...
Support Vector Machine DNA DNA-Binding Proteins Algorithms Computational Biology
View on PubMed DOI

Molecular Graph-Based Deep Learning Algorithm Facilitates an Imaging-Based Strategy for Rapid Discovery of Small Molecules Modulating Biomolecular Condensates.

Journal of medicinal chemistry Nov 8, 2023
Biomolecular condensates are proposed to cause diseases, such as cancer and neurodegeneration, by concentrating proteins at abnormal subcellular loci. Imaging-based compound screens have been used to identify small molecules that reverse or promote b...
Algorithms Deep Learning Diagnostic Imaging DNA-Binding Proteins Biomolecular Condensates
View on PubMed DOI

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 Oct 30, 2023
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...
NF-kappa B Anti-Inflammatory Agents Rats Anti-Infective Agents Interleukin-6 NLR Family, Pyrin Domain-Containing 3 Protein DNA-Binding Proteins Rats, Sprague-Dawley Inflammation Tumor Necrosis Factor-alpha Lipopolysaccharides Neuroinflammatory Diseases Pyroptosis Plant Leaves Microglia Stroke Infarction, Middle Cerebral Artery Animals Mice
View on PubMed DOI

PhenoScore quantifies phenotypic variation for rare genetic diseases by combining facial analysis with other clinical features using a machine-learning framework.

Nature genetics Aug 7, 2023
Several molecular and phenotypic algorithms exist that establish genotype-phenotype correlations, including facial recognition tools. However, no unified framework that investigates both facial data and other phenotypic data directly from individuals...
Biological Variation, Population Matrix Attachment Region Binding Proteins Phenotype Transcription Factors DNA-Binding Proteins Humans Machine Learning Artificial Intelligence Algorithms
View on PubMed DOI
Popular Topics
Recent Journals