AI Medical Compendium Journal:
International journal of molecular sciences

Showing 121 to 130 of 423 articles

EGG: Accuracy Estimation of Individual Multimeric Protein Models Using Deep Energy-Based Models and Graph Neural Networks.

International journal of molecular sciences Jun 6, 2024
Reliable and accurate methods of estimating the accuracy of predicted protein models are vital to understanding their respective utility. Discerning how the quaternary structure conforms can significantly improve our collective understanding of cell ...
Protein Conformation Protein Multimerization Computational Biology Proteins Models, Molecular Neural Networks, Computer
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TumFlow: An AI Model for Predicting New Anticancer Molecules.

International journal of molecular sciences Jun 4, 2024
Melanoma is the fifth most common cancer in the United States. Conventional drug discovery methods are inherently time-consuming and costly, which imposes significant limitations. However, the advent of Artificial Intelligence (AI) has opened up new ...
Humans Drug Discovery Antineoplastic Agents Cell Line, Tumor Artificial Intelligence Machine Learning Melanoma
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Machine Learning Identifies Key Proteins in Primary Sclerosing Cholangitis Progression and Links High CCL24 to Cirrhosis.

International journal of molecular sciences May 30, 2024
Primary sclerosing cholangitis (PSC) is a rare, progressive disease, characterized by inflammation and fibrosis of the bile ducts, lacking reliable prognostic biomarkers for disease activity. Machine learning applied to broad proteomic profiling of s...
Liver Cirrhosis Male Case-Control Studies Humans Biomarkers ROC Curve Machine Learning Middle Aged Cholangitis, Sclerosing Female Proteomics Chemokine CCL24 Adult Disease Progression
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Predicting Non-Alcoholic Steatohepatitis: A Lipidomics-Driven Machine Learning Approach.

International journal of molecular sciences May 29, 2024
Nonalcoholic fatty liver disease (NAFLD), nowadays the most prevalent chronic liver disease in Western countries, is characterized by a variable phenotype ranging from steatosis to nonalcoholic steatohepatitis (NASH). Intracellular lipid accumulation...
Non-alcoholic Fatty Liver Disease Humans Lipidomics Machine Learning Biomarkers Middle Aged Case-Control Studies Female Lipid Metabolism Adult Male
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Deciphering Abnormal Platelet Subpopulations in COVID-19, Sepsis and Systemic Lupus Erythematosus through Machine Learning and Single-Cell Transcriptomics.

International journal of molecular sciences May 29, 2024
This study focuses on understanding the transcriptional heterogeneity of activated platelets and its impact on diseases such as sepsis, COVID-19, and systemic lupus erythematosus (SLE). Recognizing the limited knowledge in this area, our research aim...
SARS-CoV-2 Gene Expression Profiling Transcriptome Sepsis Single-Cell Analysis Lupus Erythematosus, Systemic Humans Machine Learning COVID-19 Blood Platelets Platelet Activation
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Identification of Marker Genes in Infectious Diseases from ScRNA-seq Data Using Interpretable Machine Learning.

International journal of molecular sciences May 29, 2024
A common result of infection is an abnormal immune response, which may be detrimental to the host. To control the infection, the immune system might undergo regulation, therefore producing an excess of either pro-inflammatory or anti-inflammatory pat...
Single-Cell Gene Expression Analysis Sequence Analysis, RNA SARS-CoV-2 Gene Expression Profiling Transcriptome Machine Learning Humans Sepsis COVID-19 Single-Cell Analysis Biomarkers RNA-Seq
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Protein-Protein Interfaces: A Graph Neural Network Approach.

International journal of molecular sciences May 28, 2024
Protein-protein interactions (PPIs) are fundamental processes governing cellular functions, crucial for understanding biological systems at the molecular level. Compared to experimental methods for PPI prediction and site identification, computationa...
Protein Interaction Maps Protein Binding Computational Biology Proteins Databases, Protein Protein Interaction Mapping Neural Networks, Computer Algorithms Deep Learning
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Prediction of Protein-Protein Interactions Based on Integrating Deep Learning and Feature Fusion.

International journal of molecular sciences May 27, 2024
Understanding protein-protein interactions (PPIs) helps to identify protein functions and develop other important applications such as drug preparation and protein-disease relationship identification. Deep-learning-based approaches are being intensel...
Protein Interaction Maps Mice Computational Biology Humans Animals Deep Learning Databases, Protein Caenorhabditis elegans Protein Interaction Mapping
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Missing Wedge Completion via Unsupervised Learning with Coordinate Networks.

International journal of molecular sciences May 17, 2024
Cryogenic electron tomography (cryoET) is a powerful tool in structural biology, enabling detailed 3D imaging of biological specimens at a resolution of nanometers. Despite its potential, cryoET faces challenges such as the missing wedge problem, whi...
Neural Networks, Computer Algorithms Deep Learning Cryoelectron Microscopy Electron Microscope Tomography Imaging, Three-Dimensional Image Processing, Computer-Assisted Unsupervised Machine Learning
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SCLpred-ECL: Subcellular Localization Prediction by Deep N-to-1 Convolutional Neural Networks.

International journal of molecular sciences May 16, 2024
The subcellular location of a protein provides valuable insights to bioinformaticians in terms of drug designs and discovery, genomics, and various other aspects of medical research. Experimental methods for protein subcellular localization determina...
Neural Networks, Computer Software Computational Biology Proteins Databases, Protein Humans
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