AIMC Topic: Computational Biology
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Computational biology and artificial intelligence in mRNA vaccine design for cancer immunotherapy.
Frontiers in cellular and infection microbiology
Jan 20, 2025
Messenger RNA (mRNA) vaccines offer an adaptable and scalable platform for cancer immunotherapy, requiring optimal design to elicit a robust and targeted immune response. Recent advancements in bioinformatics and artificial intelligence (AI) have sig...
A practical guide to FAIR data management in the age of multi-OMICS and AI.
Frontiers in immunology
Jan 20, 2025
Multi-cellular biological systems, including the immune system, are highly complex, dynamic, and adaptable. Systems biologists aim to understand such complexity at a quantitative level. However, these ambitious efforts are often limited by access to ...
PPILS: Protein-protein interaction prediction with language of biological coding.
Computers in biology and medicine
Jan 19, 2025
Protein-protein interactions within a cell are essential for various fundamental biological processes. Computational techniques have arisen in bioinformatics due to the challenging and resource-intensive nature of experimental protein pair interactio...
Supervised learning approaches for predicting Ebola-Human Protein-Protein interactions.
Gene
Jan 17, 2025
The goal of this research work is to predict protein-protein interactions (PPIs) between the Ebola virus and the host who is at risk of infection. Since there are very limited databases available on the Ebola virus; we have prepared a comprehensive d...
Structure-Based Approaches for Protein-Protein Interaction Prediction Using Machine Learning and Deep Learning.
Biomolecules
Jan 17, 2025
Protein-Protein Interaction (PPI) prediction plays a pivotal role in understanding cellular processes and uncovering molecular mechanisms underlying health and disease. Structure-based PPI prediction has emerged as a robust alternative to sequence-ba...
Integrative bioinformatics and machine learning approach unveils potential biomarkers linking coronary atherosclerosis and fatty acid metabolism-associated gene.
Journal of cardiothoracic surgery
Jan 17, 2025
BACKGROUND: Atherosclerosis (AS) is increasingly recognized as a chronic inflammatory disease that significantly compromises vascular health and acts as a major contributor to cardiovascular diseases. Advancements in lipidomics and metabolomics have ...
MOCapsNet: Multiomics Data Integration for Cancer Subtype Analysis Based on Dynamic Self-Attention Learning and Capsule Networks.
Journal of chemical information and modeling
Jan 16, 2025
: With the rapid development of the accumulation of large-scale multiomics data sets, integrating various omics data to provide a thorough study from multiple perspectives can significantly provide stronger support for precise treatment of diseases. ...
Artificial intelligence in molecular biology.
Molecular cell
Jan 16, 2025
In recent years, computational methods and artificial intelligence approaches have proven uniquely suited for studying patterns in molecular biology. In this focus issue, we spoke with researchers about using these tools to address various biological...
Unveiling the molecular mechanisms of Haitang-Xiaoyin Mixture in psoriasis treatment based on bioinformatics, network pharmacology, machine learning, and molecular docking verification.
Computational biology and chemistry
Jan 15, 2025
OBJECTIVE: Psoriasis is a common clinical skin inflammatory disease. Haitang-Xiaoyin Mixture (HXM) represents a traditional Chinese medicine formulation utilized clinically for the management of psoriasis, which can reduce the psoriasis area and seve...
Identifying semaphorin 3C as a biomarker for sarcopenia and coronary artery disease via bioinformatics and machine learning.
Archives of gerontology and geriatrics
Jan 15, 2025
OBJECTIVE: Sarcopenia not only affects patients' quality of life but also may exacerbate the pathological processes of coronary artery disease (CAD). This study aimed to identify potential biomarkers to improve the combined diagnosis and treatment of...
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