AIMC Topic: Protein Interaction Mapping

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Protein-Protein Interfaces: A Graph Neural Network Approach.

International journal of molecular sciences May 28, 2024
Protein-protein interactions (PPIs) are fundamental processes governing cellular functions, crucial for understanding biological systems at the molecular level. Compared to experimental methods for PPI prediction and site identification, computationa...
Neural Networks, Computer Algorithms Deep Learning Protein Interaction Maps Protein Interaction Mapping Protein Binding Proteins Computational Biology Databases, Protein
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Prediction of Protein-Protein Interactions Based on Integrating Deep Learning and Feature Fusion.

International journal of molecular sciences May 27, 2024
Understanding protein-protein interactions (PPIs) helps to identify protein functions and develop other important applications such as drug preparation and protein-disease relationship identification. Deep-learning-based approaches are being intensel...
Protein Interaction Mapping Databases, Protein Caenorhabditis elegans Mice Computational Biology Humans Deep Learning Animals Protein Interaction Maps
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ProBAN: Neural network algorithm for predicting binding affinity in protein-protein complexes.

Proteins May 9, 2024
Determining binding affinities in protein-protein and protein-peptide complexes is a challenging task that directly impacts the development of peptide and protein pharmaceuticals. Although several models have been proposed to predict the value of the...
Thermodynamics Computational Biology Protein Interaction Mapping Proteins Databases, Protein Binding Sites Algorithms Neural Networks, Computer Protein Binding
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GNNGL-PPI: multi-category prediction of protein-protein interactions using graph neural networks based on global graphs and local subgraphs.

BMC genomics May 9, 2024
Most proteins exert their functions by interacting with other proteins, making the identification of protein-protein interactions (PPI) crucial for understanding biological activities, pathological mechanisms, and clinical therapies. Developing effec...
Humans Protein Interaction Maps Computational Biology Proteins Neural Networks, Computer Algorithms Protein Interaction Mapping
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CollaPPI: A Collaborative Learning Framework for Predicting Protein-Protein Interactions.

IEEE journal of biomedical and health informatics May 6, 2024
Exploring protein-protein interaction (PPI) is of paramount importance for elucidating the intrinsic mechanism of various biological processes. Nevertheless, experimental determination of PPI can be both time-consuming and expensive, motivating the e...
Humans Algorithms Proteins Deep Learning Databases, Protein Computational Biology Protein Interaction Mapping
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MR2CPPIS: Accurate prediction of protein-protein interaction sites based on multi-scale Res2Net with coordinate attention mechanism.

Computers in biology and medicine May 3, 2024
Proteins play a vital role in various biological processes and achieve their functions through protein-protein interactions (PPIs). Thus, accurate identification of PPI sites is essential. Traditional biological methods for identifying PPIs are costl...
Protein Interaction Mapping Proteins Databases, Protein Humans Deep Learning Computational Biology
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PPII-AEAT: Prediction of protein-protein interaction inhibitors based on autoencoders with adversarial training.

Computers in biology and medicine Mar 16, 2024
Protein-protein interactions (PPIs) have shown increasing potential as novel drug targets. The design and development of small molecule inhibitors targeting specific PPIs are crucial for the prevention and treatment of related diseases. Accordingly, ...
Machine Learning Protein Interaction Mapping
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Identification of Protein-Protein Interaction Associated Functions Based on Gene Ontology.

The protein journal Mar 4, 2024
Protein-protein interactions (PPIs) involve the physical or functional contact between two or more proteins. Generally, proteins that can interact with each other always have special relationships. Some previous studies have reported that gene ontolo...
Protein Interaction Maps Computational Biology Humans Gene Ontology Proteins Protein Interaction Mapping Databases, Protein
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Revolutionizing protein-protein interaction prediction with deep learning.

Current opinion in structural biology Feb 7, 2024
Protein-protein interactions (PPIs) are pivotal for driving diverse biological processes, and any disturbance in these interactions can lead to disease. Thus, the study of PPIs has been a central focus in biology. Recent developments in deep learning...
Protein Interaction Mapping Algorithms Deep Learning Genomics Computational Biology Proteins
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DL-PPI: a method on prediction of sequenced protein-protein interaction based on deep learning.

BMC bioinformatics Dec 14, 2023
PURPOSE: Sequenced Protein-Protein Interaction (PPI) prediction represents a pivotal area of study in biology, playing a crucial role in elucidating the mechanistic underpinnings of diseases and facilitating the design of novel therapeutic interventi...
Protein Interaction Mapping Proteins Neural Networks, Computer Amino Acid Sequence Deep Learning
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