AIMC Topic: Computational Biology
Clear Filters Showing 21 to 30 of 4391 articles
Efficiently quantifying dependence in massive scientific datasets using InterDependence Scores.
Proceedings of the National Academy of Sciences of the United States of America
Aug 20, 2025
Large-scale scientific datasets today contain tens of thousands of random variables across millions of samples (for example, the RNA expression levels of 20,000 protein-coding genes across 30 million single cells). Being able to quantify dependencies...
Anoikis-related genes predicts prognosis and therapeutic response in renal cell carcinoma.
Annals of medicine
Aug 19, 2025
BACKGROUND: Metastasis represents the primary cause of cancer-related mortality, with a high incidence observed in renal cell carcinoma (RCC). Anoikis, a specialized form of apoptosis, plays a crucial role in preventing displaced cells from adhering ...
Sparse autoencoders uncover biologically interpretable features in protein language model representations.
Proceedings of the National Academy of Sciences of the United States of America
Aug 19, 2025
Foundation models in biology-particularly protein language models (PLMs)-have enabled ground-breaking predictions in protein structure, function, and beyond. However, the "black-box" nature of these representations limits transparency and explainabil...
NetStart 2.0: prediction of eukaryotic translation initiation sites using a protein language model.
BMC bioinformatics
Aug 19, 2025
BACKGROUND: Accurate identification of translation initiation sites is essential for the proper translation of mRNA into functional proteins. In eukaryotes, the choice of the translation initiation site is influenced by multiple factors, including it...
Machine learning based screening of biomarkers associated with cell death and immunosuppression of multiple life stages sepsis populations.
Scientific reports
Aug 19, 2025
Sepsis is a condition resulting from the uncontrolled immune response to infection, leading to widespread inflammatory damage and potentially fatal organ dysfunction. Currently, there is a lack of specific prevention and treatment strategies for seps...
GATRsite: RNA-Ligand Binding Site Prediction Using Graph Attention Networks and Pretrained RNA Language Models.
Journal of chemical information and modeling
Aug 14, 2025
Identifying functional sites of RNA, particularly those where small molecules bind, is crucial for understanding related biological processes and advancing drug design. Small molecule therapies, compared to traditional protein-targeted therapies, hav...
MEGDTA: multi-modal drug-target affinity prediction based on protein three-dimensional structure and ensemble graph neural network.
BMC genomics
Aug 11, 2025
BACKGROUND: Drug development is a time-consuming and costly endeavor, and utilizing computer-aided methods to predict drug-target affinity (DTA) can significantly accelerate this process. The key to accurate DTA prediction lies in selecting appropria...
Integrating bioinformatics analysis, machine learning, and experimental validation to identify pyroptosis-related genes in the diagnosis of sepsis combined with acute liver failure.
Hereditas
Aug 8, 2025
BACKGROUND: Sepsis is frequently combined with acute liver failure (ALF), a critical determinant in the mortality of septic patients. Pyroptosis is a significant form of programmed cell death that plays an important role in the inflammatory response....
Prediction of human pathogenic start loss variants based on self-supervised contrastive learning.
BMC biology
Aug 8, 2025
BACKGROUND: Start loss variants are a class of genetic variants that affect the bases of the start codon, disrupting the normal translation initiation process and leading to protein deletions or the production of different proteins. Accurate assessme...
AAGP integrates physicochemical and compositional features for machine learning-based prediction of anti-aging peptides.
Scientific reports
Aug 8, 2025
Aging is a natural phenomenon characterized by the loss of normal morphology and physiological functioning of the body, causing wrinkles on the skin, loss of hair, and compromised immune systems. Peptide therapies have emerged as a promising approach...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 32472
- Neural Networks, Computer 30472
- Algorithms 27707
- Deep Learning 27262
- Artificial Intelligence 25182
- Robotics 13422
- Image Processing, Computer-Assisted 9880
- Retrospective Studies 9518
- Magnetic Resonance Imaging 6477
- Reproducibility of Results 5740
- Tomography, X-Ray Computed 4955
- Support Vector Machine 4809
- Computational Biology 4391
- Brain 4183
- Computer Simulation 3958
Recent Journals
- Scientific reports 7006
- Sensors (Basel, Switzerland) 4794
- PloS one 4271
- Neural networks : the official journal of the International Neural Network Society 3035
- Computers in biology and medicine 2037
- Computational intelligence and neuroscience 1931
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1378
- IEEE journal of biomedical and health informatics 1190
- Journal of chemical information and modeling 1079
- Nature communications 1070
- Computer methods and programs in biomedicine 895
- Bioinformatics (Oxford, England) 879
- Journal of medical Internet research 874
- IEEE transactions on neural networks and learning systems 859