AI Medical Compendium Journal:
Interdisciplinary sciences, computational life sciences

Showing 11 to 20 of 118 articles

BiGM-lncLoc: Bi-level Multi-Graph Meta-Learning for Predicting Cell-Specific Long Noncoding RNAs Subcellular Localization.

Interdisciplinary sciences, computational life sciences Dec 26, 2024
The precise spatiotemporal expression of long noncoding RNAs (lncRNAs) plays a pivotal role in biological regulation, and aberrant expression of lncRNAs in different subcellular localizations has been intricately linked to the onset and progression o...
Cell Line, Tumor Neural Networks, Computer Computational Biology Machine Learning RNA, Long Noncoding Humans Cell Line
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Identification of Multi-functional Therapeutic Peptides Based on Prototypical Supervised Contrastive Learning.

Interdisciplinary sciences, computational life sciences Dec 23, 2024
High-throughput sequencing has exponentially increased peptide sequences, necessitating a computational method to identify multi-functional therapeutic peptides (MFTP) from their sequences. However, existing computational methods are challenged by cl...
Supervised Machine Learning Peptides Computational Biology Machine Learning Algorithms Humans
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DeepPD: A Deep Learning Method for Predicting Peptide Detectability Based on Multi-feature Representation and Information Bottleneck.

Interdisciplinary sciences, computational life sciences Dec 11, 2024
Peptide detectability measures the relationship between the protein composition and abundance in the sample and the peptides identified during the analytical procedure. This relationship has significant implications for the fundamental tasks of prote...
Algorithms Peptides Computational Biology Proteomics Deep Learning Humans Databases, Protein
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EfficientNet-resDDSC: A Hybrid Deep Learning Model Integrating Residual Blocks and Dilated Convolutions for Inferring Gene Causality in Single-Cell Data.

Interdisciplinary sciences, computational life sciences Nov 22, 2024
Gene Regulatory Networks (GRNs) reveal complex interactions between genes in organisms, crucial for understanding the life system's operation. The rapid development of biotechnology, especially single-cell RNA sequencing (scRNA-seq), has generated a ...
Breast Neoplasms Deep Learning Humans Female Computational Biology Gene Regulatory Networks Convolutional Neural Networks Single-Cell Analysis
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Discovery of Active Ingredient of Yinchenhao Decoction Targeting TLR4 for Hepatic Inflammatory Diseases Based on Deep Learning Approach.

Interdisciplinary sciences, computational life sciences Nov 19, 2024
Yinchenhao Decoction (YCHD), a classic formula in traditional Chinese medicine, is believed to have the potential to treat liver diseases by modulating the Toll-like receptor 4 (TLR4) target. Therefore, a thorough exploration of the effective compone...
Medicine, Chinese Traditional Lipopolysaccharides Mice Inflammation Toll-Like Receptor 4 Drugs, Chinese Herbal Liver Diseases Humans Deep Learning Dendritic Cells Animals
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RAEPI: Predicting Enhancer-Promoter Interactions Based on Restricted Attention Mechanism.

Interdisciplinary sciences, computational life sciences Nov 15, 2024
Enhancer-promoter interactions (EPIs) are crucial in gene transcription regulation and cell differentiation. Traditional biological experiments are costly and time-consuming, motivating the development of computational prediction methods. However, ex...
Promoter Regions, Genetic Enhancer Elements, Genetic Humans Neural Networks, Computer Computational Biology
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Predicting Protein-Ligand Binding Affinity Using Fusion Model of Spatial-Temporal Graph Neural Network and 3D Structure-Based Complex Graph.

Interdisciplinary sciences, computational life sciences Nov 14, 2024
The investigation of molecular interactions between ligands and their target molecules is becoming more significant as protein structure data continues to develop. In this study, we introduce PLA-STGCNnet, a deep fusion spatial-temporal graph neural ...
Neural Networks, Computer Algorithms Graph Neural Networks Ligands Protein Binding Protein Conformation Proteins
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Drug Sensitivity Prediction Based on Multi-stage Multi-modal Drug Representation Learning.

Interdisciplinary sciences, computational life sciences Nov 12, 2024
Accurate prediction of anticancer drug responses is essential for developing personalized treatment plans in order to improve cancer patient survival rates and reduce healthcare costs. To this end, we propose a drug sensitivity prediction model based...
Deep Learning Neoplasms Antineoplastic Agents Humans Machine Learning Algorithms Neural Networks, Computer
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An Integrated TCN-CrossMHA Model for Predicting circRNA-RBP Binding Sites.

Interdisciplinary sciences, computational life sciences Nov 6, 2024
Circular RNA (circRNA) has the capacity to bind with RNA binding protein (RBP), thereby exerting a substantial impact on diseases. Predicting binding sites aids in comprehending the interaction mechanism, thereby offering insights for disease treatme...
RNA, Circular RNA-Binding Proteins Binding Sites Algorithms Protein Binding Humans Computational Biology Neural Networks, Computer
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Plant lncRNA-miRNA Interaction Prediction Based on Counterfactual Heterogeneous Graph Attention Network.

Interdisciplinary sciences, computational life sciences Oct 9, 2024
Identifying interactions between long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) provides a new perspective for understanding regulatory relationships in plant life processes. Recently, computational methods based on graph neural networks (GNNs...
Neural Networks, Computer Algorithms RNA, Long Noncoding Plants RNA, Plant Computational Biology MicroRNAs
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