AIMC Topic: Protein Structure, Secondary

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SENSDeep: An Ensemble Deep Learning Method for Protein-Protein Interaction Sites Prediction.

Interdisciplinary sciences, computational life sciences Nov 8, 2022
PURPOSE: The determination of which amino acid in a protein interacts with other proteins is important in understanding the functional mechanism of that protein. Although there are experimental methods to detect protein-protein interaction sites (PPI...
Neural Networks, Computer Amino Acid Sequence Protein Structure, Secondary Deep Learning Proteins
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BAT-Net: An enhanced RNA Secondary Structure prediction via bidirectional GRU-based network with attention mechanism.

Computational biology and chemistry Sep 1, 2022
BACKGROUND: RNA Secondary Structure (RSS) has drawn growing concern, both for their pivotal roles in RNA tertiary structures prediction and critical effect in penetrating the mechanism of functional non-coding RNA. Computational techniques that can r...
Protein Structure, Secondary RNA Base Sequence Neural Networks, Computer
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LTPConstraint: a transfer learning based end-to-end method for RNA secondary structure prediction.

BMC bioinformatics Aug 23, 2022
BACKGROUND: RNA secondary structure is very important for deciphering cell's activity and disease occurrence. The first method which was used by the academics to predict this structure is biological experiment, But this method is too expensive, causi...
Neural Networks, Computer Protein Structure, Secondary Machine Learning RNA
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Protein secondary structure assignment using residual networks.

Journal of molecular modeling Aug 23, 2022
Proteins are constructed from amino acid sequences. Their structural classifications include primary, secondary, tertiary, and quaternary, with tertiary and quaternary structures influencing protein function. Because a protein's structure is inextric...
Humans Proteins Amino Acid Sequence Protein Structure, Secondary Algorithms Computational Biology Neural Networks, Computer
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Scaffolding protein functional sites using deep learning.

Science (New York, N.Y.) Jul 21, 2022
The binding and catalytic functions of proteins are generally mediated by a small number of functional residues held in place by the overall protein structure. Here, we describe deep learning approaches for scaffolding such functional sites without n...
Protein Folding Protein Structure, Secondary Proteins Catalysis Binding Sites Protein Engineering Deep Learning Protein Binding
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Automated Protein Secondary Structure Assignment from C Positions Using Neural Networks.

Biomolecules Jun 17, 2022
The assignment of secondary structure elements in protein conformations is necessary to interpret a protein model that has been established by computational methods. The process essentially involves labeling the amino acid residues with H (Helix), E ...
Neural Networks, Computer Machine Learning Protein Conformation Proteins Protein Structure, Secondary
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Deep Ensemble Learning with Atrous Spatial Pyramid Networks for Protein Secondary Structure Prediction.

Biomolecules Jun 2, 2022
The secondary structure of proteins is significant for studying the three-dimensional structure and functions of proteins. Several models from image understanding and natural language modeling have been successfully adapted in the protein sequence st...
Protein Structure, Secondary Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Proteins
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Deep-Learning-Assisted Stratification of Amyloid Beta Mutants Using Drying Droplet Patterns.

Advanced materials (Deerfield Beach, Fla.) May 4, 2022
The development of simple and accurate methods to predict mutations in proteins remains an unsolved challenge in modern biochemistry. It is discovered that critical information about primary and secondary peptide structures can be inferred from the s...
Amyloid Protein Structure, Secondary Peptide Fragments Alzheimer Disease Amyloid beta-Peptides Humans Deep Learning
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Recognition of Protein Network for Bioinformatics Knowledge Analysis Using Support Vector Machine.

BioMed research international Apr 23, 2022
Protein is the material foundation of living things, and it directly takes part in and runs the process of living things itself. Predicting protein complexes helps us understand the structure and function of complexes, and it is an important foundati...
Wavelet Analysis Support Vector Machine Computational Biology Protein Structure, Secondary Proteins
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Prediction of Disordered Regions in Proteins with Recurrent Neural Networks and Protein Dynamics.

Journal of molecular biology Apr 22, 2022
The role of intrinsically disordered protein regions (IDRs) in cellular processes has become increasingly evident over the last years. These IDRs continue to challenge structural biology experiments because they lack a well-defined conformation, and ...
Amino Acid Sequence Intrinsically Disordered Proteins Computational Biology Neural Networks, Computer Protein Structure, Secondary Software Sequence Analysis, Protein
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