AIMC Topic: Computational Biology

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Generative language models on nucleotide sequences of human genes.

Scientific reports Sep 27, 2024
Language models, especially transformer-based ones, have achieved colossal success in natural language processing. To be precise, studies like BERT for natural language understanding and works like GPT-3 for natural language generation are very impor...
Sequence Analysis, DNA Natural Language Processing Base Sequence Humans Computational Biology
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Microbe-drug association prediction model based on graph convolution and attention networks.

Scientific reports Sep 27, 2024
The human microbiome plays a key role in drug development and precision medicine, but understanding its complex interactions with drugs remains a challenge. Identifying microbe-drug associations not only enhances our understanding of their mechanisms...
Microbiota Humans Neural Networks, Computer Drug Discovery Deep Learning Computational Biology Pharmaceutical Preparations
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Integrating dynamic models and neural networks to discover the mechanism of meteorological factors on Aedes population.

PLoS computational biology Sep 27, 2024
Aedes mosquitoes, known as vectors of mosquito-borne diseases, pose significant risks to public health and safety. Modeling the population dynamics of Aedes mosquitoes requires comprehensive approaches due to the complex interplay between biological ...
Female Temperature Animals Neural Networks, Computer Machine Learning Computer Simulation Oviposition Meteorological Concepts Models, Biological China Aedes Computational Biology Mosquito Vectors Population Dynamics
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HELP: A computational framework for labelling and predicting human common and context-specific essential genes.

PLoS computational biology Sep 27, 2024
Machine learning-based approaches are particularly suitable for identifying essential genes as they allow the generation of predictive models trained on features from multi-source data. Gene essentiality is neither binary nor static but determined by...
Molecular Sequence Annotation Computational Biology Databases, Genetic Genes, Essential Humans Machine Learning Software Algorithms
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Shared diagnostic genes and potential mechanisms between polycystic ovary syndrome and recurrent miscarriage revealed by integrated transcriptomics analysis and machine learning.

Frontiers in endocrinology Sep 27, 2024
OBJECTIVE: More and more studies have found that polycystic ovary syndrome (PCOS) is significantly associated with recurrent spontaneous abortion (RSA), but the specific mechanism is not yet clear.
Transcriptome Pregnancy Gene Regulatory Networks Databases, Genetic Female Humans Polycystic Ovary Syndrome Gene Expression Profiling Computational Biology Machine Learning Abortion, Habitual
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Empowering Graph Neural Network-Based Computational Drug Repositioning with Large Language Model-Inferred Knowledge Representation.

Interdisciplinary sciences, computational life sciences Sep 26, 2024
Computational drug repositioning, through predicting drug-disease associations (DDA), offers significant potential for discovering new drug indications. Current methods incorporate graph neural networks (GNN) on drug-disease heterogeneous networks to...
Humans Neural Networks, Computer Drug Repositioning Large Language Models Graph Neural Networks Machine Learning Language Computational Biology
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Explainable biology for improved therapies in precision medicine: AI is not enough.

Best practice & research. Clinical rheumatology Sep 26, 2024
Technological advances and high-throughput bio-chemical assays are rapidly changing ways how we formulate and test biological hypotheses, and how we treat patients. Most complex diseases arise on a background of genetics, lifestyle and environment fa...
Machine Learning Precision Medicine Computational Biology Humans Artificial Intelligence
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SSCI: Self-Supervised Deep Learning Improves Network Structure for Cancer Driver Gene Identification.

International journal of molecular sciences Sep 26, 2024
The pathogenesis of cancer is complex, involving abnormalities in some genes in organisms. Accurately identifying cancer genes is crucial for the early detection of cancer and personalized treatment, among other applications. Recent studies have used...
Humans Neural Networks, Computer Neoplasms Deep Learning Gene Expression Regulation, Neoplastic ROC Curve Supervised Machine Learning Gene Regulatory Networks Oncogenes Computational Biology
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PROTA: A Robust Tool for Protamine Prediction Using a Hybrid Approach of Machine Learning and Deep Learning.

International journal of molecular sciences Sep 24, 2024
Protamines play a critical role in DNA compaction and stabilization in sperm cells, significantly influencing male fertility and various biotechnological applications. Traditionally, identifying these proteins is a challenging and time-consuming proc...
Protamines Humans Machine Learning Software Deep Learning Computational Biology Support Vector Machine
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Screening COPD-Related Biomarkers and Traditional Chinese Medicine Prediction Based on Bioinformatics and Machine Learning.

International journal of chronic obstructive pulmonary disease Sep 24, 2024
PURPOSE: To employ bioinformatics and machine learning to predict the characteristics of immune cells and genes associated with the inflammatory response and ferroptosis in chronic obstructive pulmonary disease (COPD) patients and to aid in the devel...
Drugs, Chinese Herbal Genetic Markers MicroRNAs Predictive Value of Tests Mendelian Randomization Analysis Databases, Genetic Biomarkers Medicine, Chinese Traditional Pulmonary Disease, Chronic Obstructive Ferroptosis Lung Humans Molecular Docking Simulation Gene Regulatory Networks Machine Learning Gene Expression Profiling Genetic Predisposition to Disease Phenotype Transcriptome Computational Biology
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