AIMC Topic: DNA-Binding Proteins

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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...
Diagnostic Imaging DNA-Binding Proteins Biomolecular Condensates Algorithms Deep Learning
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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 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...
Infarction, Middle Cerebral Artery Mice Neuroinflammatory Diseases DNA-Binding Proteins NLR Family, Pyrin Domain-Containing 3 Protein Interleukin-6 Pyroptosis Animals Stroke Inflammation NF-kappa B Rats, Sprague-Dawley Anti-Inflammatory Agents Lipopolysaccharides Plant Leaves Anti-Infective Agents Tumor Necrosis Factor-alpha Rats Microglia
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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 Humans Matrix Attachment Region Binding Proteins Artificial Intelligence Algorithms Transcription Factors Phenotype DNA-Binding Proteins Machine Learning
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DNA protein binding recognition based on lifelong learning.

Computers in biology and medicine Jun 16, 2023
In recent years, research in the field of bioinformatics has focused on predicting the raw sequences of proteins, and some scholars consider DNA-binding protein prediction as a classification task. Many statistical and machine learning-based methods ...
Machine Learning DNA DNA-Binding Proteins Protein Binding Computational Biology
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Identification of DNA-binding proteins by Kernel Sparse Representation via L-matrix norm.

Computers in biology and medicine Apr 11, 2023
An understanding of DNA-binding proteins is helpful in exploring the role that proteins play in cell biology. Furthermore, the prediction of DNA-binding proteins is essential for the chemical modification and structural composition of DNA, and is of ...
Machine Learning Algorithms DNA-Binding Proteins Amino Acid Sequence Support Vector Machine DNA
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MV-H-RKM: A Multiple View-Based Hypergraph Regularized Restricted Kernel Machine for Predicting DNA-Binding Proteins.

IEEE/ACM transactions on computational biology and bioinformatics Apr 3, 2023
DNA-binding proteins (DBPs) have a significant impact on many life activities, so identification of DBPs is a crucial issue. And it is greatly helpful to understand the mechanism of protein-DNA interactions. In traditional experimental methods, it is...
DNA DNA-Binding Proteins Algorithms Support Vector Machine Machine Learning
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iDRBP-EL: Identifying DNA- and RNA- Binding Proteins Based on Hierarchical Ensemble Learning.

IEEE/ACM transactions on computational biology and bioinformatics Feb 3, 2023
Identification of DNA-binding proteins (DBPs) and RNA-binding proteins (RBPs) from the primary sequences is essential for further exploring protein-nucleic acid interactions. Previous studies have shown that machine-learning-based methods can efficie...
DNA-Binding Proteins RNA Machine Learning RNA-Binding Proteins Deep Learning Algorithms DNA Computational Biology
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Improving DNA-Binding Protein Prediction Using Three-Part Sequence-Order Feature Extraction and a Deep Neural Network Algorithm.

Journal of chemical information and modeling Jan 31, 2023
Identification of the DNA-binding protein (DBP) helps dig out information embedded in the DNA-protein interaction, which is significant to understanding the mechanisms of DNA replication, transcription, and repair. Although existing computational met...
Algorithms DNA-Binding Proteins Neural Networks, Computer Amino Acid Sequence
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CNN-Pred: Prediction of single-stranded and double-stranded DNA-binding protein using convolutional neural networks.

Gene Nov 26, 2022
DNA-binding proteins play a vital role in biological activity including DNA replication, DNA packing, and DNA reparation. DNA-binding proteins can be classified into single-stranded DNA-binding proteins (SSBs) or double-stranded DNA-binding proteins ...
Neural Networks, Computer Software DNA Replication DNA DNA-Binding Proteins
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Identification of DNA-binding proteins via Multi-view LSSVM with independence criterion.

Methods (San Diego, Calif.) Sep 8, 2022
DNA-binding proteins actively participate in life activities such as DNA replication, recombination, gene expression and regulation and play a prominent role in these processes. As DNA-binding proteins continue to be discovered and increase, it is im...
Support Vector Machine Least-Squares Analysis DNA-Binding Proteins Machine Learning Algorithms
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