Dimerization

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Dimeric gold nanoparticles enable multiplexed labeling in cryoelectron tomography.

Proceedings of the National Academy of Sciences of the United States of America Nov 24, 2025
Cryoelectron tomography (cryo-ET) enables three-dimensional visualization of molecular structures within tissue and intact cells, providing a powerful tool for studying the spatial organization of biological components at nanometer resolution. Realiz...
Humans Animals Mice Gold Metal Nanoparticles Receptors, N-Methyl-D-Aspartate Cryoelectron Microscopy Dimerization Electron Microscope Tomography
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Inter-protein residue covariation information unravels physically interacting protein dimers.

BMC bioinformatics Dec 17, 2020
BACKGROUND: Predicting physical interaction between proteins is one of the greatest challenges in computational biology. There are considerable various protein interactions and a huge number of protein sequences and synthetic peptides with unknown in...
Protein Interaction Maps Support Vector Machine Evolution, Molecular Proteins Databases, Protein Dimerization
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The Classifying Autoencoder: Gaining Insight into Amyloid Assembly of Peptides and Proteins.

The journal of physical chemistry. B Jun 13, 2019
Despite the importance of amyloid formation in disease pathology, the understanding of the primary structure?activity relationship for amyloid-forming peptides remains elusive. Here we use a new neural-network based method of analysis: the classifyin...
Machine Learning Databases, Factual Peptides Amino Acids Amyloid Hydrophobic and Hydrophilic Interactions Protein Aggregates Dimerization Amyloidogenic Proteins
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Characterizing informative sequence descriptors and predicting binding affinities of heterodimeric protein complexes.

BMC bioinformatics Dec 9, 2015
BACKGROUND: Protein-protein interactions (PPIs) are involved in various biological processes, and underlying mechanism of the interactions plays a crucial role in therapeutics and protein engineering. Most machine learning approaches have been develo...
ROC Curve Protein Interaction Maps Protein Binding Support Vector Machine Proteins Principal Component Analysis Area Under Curve Hydrogen Bonding Protein Structure, Tertiary Dimerization
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Predicting bacterial virulence factors - evaluation of machine learning and negative data strategies.

Briefings in bioinformatics Sep 25, 2020
Bacterial proteins dubbed virulence factors (VFs) are a highly diverse group of sequences, whose only obvious commonality is the very property of being, more or less directly, involved in virulence. It is therefore tempting to speculate whether their...
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Algorithms Bacteria Proteome Support Vector Machine Bacterial Proteins Virulence Factors Amino Acid Sequence Datasets as Topic Dimerization
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