AIMC Topic: Protein Interaction Mapping

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Deep representation learning of protein-protein interaction networks for enhanced pattern discovery.

Science advances Dec 18, 2024
Protein-protein interaction (PPI) networks, where nodes represent proteins and edges depict myriad interactions among them, are fundamental to understanding the dynamics within biological systems. Despite their pivotal role in modern biology, reliabl...
Computational Biology Protein Interaction Mapping Humans Deep Learning Protein Interaction Maps Algorithms
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Novel artificial intelligence-based identification of drug-gene-disease interaction using protein-protein interaction.

BMC bioinformatics Dec 18, 2024
The evaluation of drug-gene-disease interactions is key for the identification of drugs effective against disease. However, at present, drugs that are effective against genes that are critical for disease are difficult to identify. Following a diseas...
Humans Antineoplastic Agents Artificial Intelligence Computational Biology Neoplasms Protein Interaction Mapping Drug Repositioning
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Integration of biological data via NMF for identification of human disease-associated gene modules through multi-label classification.

PloS one Dec 12, 2024
Proteins associated with multiple diseases often interact, forming disease modules that are critical for understanding disease mechanisms. This study integrates protein-protein interactions (PPIs) and Gene Ontology data using non-negative matrix fact...
Gene Ontology Disease Protein Interaction Maps Genetic Predisposition to Disease Protein Interaction Mapping Gene Regulatory Networks Humans Computational Biology Algorithms
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An End-to-End Knowledge Graph Fused Graph Neural Network for Accurate Protein-Protein Interactions Prediction.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
Protein-protein interactions (PPIs) are essential to understanding cellular mechanisms, signaling networks, disease processes, and drug development, as they represent the physical contacts and functional associations between proteins. Recent advances...
Databases, Protein Protein Interaction Mapping Humans Graph Neural Networks Algorithms Computational Biology Protein Interaction Maps Proteins Neural Networks, Computer
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HGLA: Biomolecular Interaction Prediction Based on Mixed High-Order Graph Convolution With Filter Network via LSTM and Channel Attention.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
Predicting biomolecular interactions is significant for understanding biological systems. Most existing methods for link prediction are based on graph convolution. Although graph convolution methods are advantageous in extracting structure informatio...
Humans Neural Networks, Computer Computational Biology Protein Interaction Mapping Algorithms
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RGCNPPIS: A Residual Graph Convolutional Network for Protein-Protein Interaction Site Prediction.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
Accurate identification of protein-protein interaction (PPI) sites is crucial for understanding the mechanisms of biological processes, developing PPI networks, and detecting protein functions. Currently, most computational methods primarily concentr...
Algorithms Protein Interaction Maps Computational Biology Humans Neural Networks, Computer Binding Sites Protein Interaction Mapping Proteins Databases, Protein
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Protein-protein interaction detection using deep learning: A survey, comparative analysis, and experimental evaluation.

Computers in biology and medicine Dec 6, 2024
This survey paper provides a comprehensive analysis of various Deep Learning (DL) techniques and algorithms for detecting protein-protein interactions (PPIs). It examines the scalability, interpretability, accuracy, and efficiency of each technique, ...
Humans Neural Networks, Computer Algorithms Proteins Databases, Protein Protein Interaction Mapping Deep Learning Computational Biology
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ProAffinity-GNN: A Novel Approach to Structure-Based Protein-Protein Binding Affinity Prediction via a Curated Data Set and Graph Neural Networks.

Journal of chemical information and modeling Nov 18, 2024
Protein-protein interactions (PPIs) are crucial for understanding biological processes and disease mechanisms, contributing significantly to advances in protein engineering and drug discovery. The accurate determination of binding affinities, essenti...
Proteins Databases, Protein Models, Molecular Neural Networks, Computer Protein Binding Protein Conformation Protein Interaction Mapping
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Protein-Protein Interaction Networks Derived from Classical and Machine Learning-Based Natural Language Processing Tools.

Journal of proteome research Nov 11, 2024
The study of protein-protein interactions (PPIs) provides insight into various biological mechanisms, including the binding of antibodies to antigens, enzymes to inhibitors or promoters, and receptors to ligands. Recent studies of PPIs have led to si...
Protein Interaction Mapping Databases, Protein Natural Language Processing Data Mining Humans SARS-CoV-2 Machine Learning Protein Interaction Maps COVID-19
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LGS-PPIS: A Local-Global Structural Information Aggregation Framework for Predicting Protein-Protein Interaction Sites.

Proteins Nov 9, 2024
Exploring protein-protein interaction sites (PPIS) is of significance to elucidating the intrinsic mechanisms of diverse biological processes. On this basis, recent studies have applied deep learning-based technologies to overcome the high cost of we...
Humans Deep Learning Protein Binding Algorithms Databases, Protein Protein Interaction Domains and Motifs Binding Sites Computational Biology Proteins Protein Interaction Mapping
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