AI Medical Compendium Journal:
International journal of biological macromolecules

Showing 11 to 20 of 120 articles

IR-MBiTCN: Computational prediction of insulin receptor using deep learning: A multi-information fusion approach with multiscale bidirectional temporal convolutional network.

International journal of biological macromolecules May 2, 2025
The insulin receptor (IR) is a transmembrane protein that controls glucose homeostasis and is highly associated with chronic diseases including cancer and neurological. Traditional experimental methods have provided essential insights into IR structu...
Deep Learning Computational Biology Receptor, Insulin Humans Neural Networks, Computer
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UBTD2 protein molecules emerges as a key prognostic protein marker in glioma: Insights from integrated omics and machine learning analysis of GRM7, NCAPG, CEP55, and other biomarkers.

International journal of biological macromolecules Apr 24, 2025
Glioma is a malignant brain tumor with poor prognosis, and there is an urgent need to find effective biomarkers for early diagnosis and treatment. The aim of this study was to explore the potential of UBTD2 as a key prognostic protein marker for glio...
Gene Ontology Cell Proliferation Glioma Cell Cycle Proteins Computational Biology Gene Expression Regulation, Neoplastic Machine Learning Prognosis Biomarkers, Tumor Brain Neoplasms Gene Expression Profiling Cell Line, Tumor Humans
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Chitosan-based adsorbents for remediation of toxic dyes from wastewater: A review on adsorption mechanism, reusability, machine learning based modeling and future perspectives.

International journal of biological macromolecules Apr 23, 2025
The disposal of recalcitrant dyes in aquatic environments from various industrial sectors is a threat to both the plant and animal kingdom. The presence of dyes in various water bodies undermines the availability of uncontaminated drinking water and ...
Machine Learning Wastewater Water Purification Kinetics Coloring Agents Water Pollutants, Chemical Adsorption Chitosan
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Machine learning modeling and response surface methodology driven antioxidant and anticancer activities of chitosan nanoparticle-mediated extracts of Bacopa monnieri.

International journal of biological macromolecules Apr 23, 2025
This study investigates the potential of chitosan nanoparticles (CNPs) in enhancing the bioavailability and efficacy of Bacopa monnieri extracts, known for their neuroprotective, antioxidant, and anticancer properties. Different concentrations of CNP...
Antineoplastic Agents, Phytogenic Chitosan HeLa Cells Plant Extracts Cell Survival Bacopa Humans Machine Learning Antineoplastic Agents Nanoparticles Antioxidants
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The prediction of RNA-small molecule binding sites in RNA structures based on geometric deep learning.

International journal of biological macromolecules Apr 21, 2025
Biological interactions between RNA and small-molecule ligands play a crucial role in determining the specific functions of RNA, such as catalysis and folding, and are essential for guiding drug design in the medical field. Accurately predicting the ...
Models, Molecular RNA Ligands Deep Learning Computational Biology Small Molecule Libraries Nucleic Acid Conformation Binding Sites
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Construction of a deep learning model and identification of the pivotal characteristics of FGF7- and MGST1- positive fibroblasts in heart failure post-myocardial infarction.

International journal of biological macromolecules Apr 19, 2025
Dysregulation of fibroblast function is closely associated with the occurrence of heart failure after myocardial infarction (post-MI HF). Myocardial fibrosis is a detrimental consequence of aberrant fibroblast activation and extracellular matrix depo...
Humans Gene Expression Regulation Animals Fibroblast Growth Factor 7 Fibroblasts Myocardial Infarction Male Heart Failure Deep Learning Mice
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Enhancing the understandings on SARS-CoV-2 main protease (M) mutants from molecular dynamics and machine learning.

International journal of biological macromolecules Apr 10, 2025
While star drugs like Paxlovid have shown remarkable performance in combating SARS-CoV-2, we still face serious challenges such as viral mutants and resistance. In this study, we employ a computational framework combining molecular dynamics (MD) simu...
Machine Learning COVID-19 SARS-CoV-2 Humans Drug Resistance, Viral Protease Inhibitors Coronavirus 3C Proteases Antiviral Agents Mutation Molecular Dynamics Simulation
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Identification of CACNB1 protein as an actionable therapeutic target for hepatocellular carcinoma via metabolic dysfunction analysis in liver diseases: An integrated bioinformatics and machine learning approach for precise therapy.

International journal of biological macromolecules Mar 25, 2025
In addition to histological evaluation for nonalcoholic fatty liver disease (NAFLD), a comprehensive analysis of the metabolic landscape is urgently needed to categorize patients into distinct subgroups for precise treatment. In this study, a total o...
Middle Aged Liver Neoplasms Carcinoma, Hepatocellular Humans Female Computational Biology Machine Learning Male Gene Expression Regulation, Neoplastic Prognosis Non-alcoholic Fatty Liver Disease
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Application of explainable machine learning in the production of pullulan by Aureobasidium pullulans CGMCCNO.7055.

International journal of biological macromolecules Mar 24, 2025
The application of machine learning in pullulan biofermentation has demonstrated significant potential. Explainable machine learning enhances model transparency and interpretability by revealing the relationships between variables. In this study, we ...
Molecular Weight Biomass Machine Learning Glucans Hydrogen-Ion Concentration Algorithms Fermentation Aureobasidium
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CasPro-ESM2: Accurate identification of Cas proteins integrating pre-trained protein language model and multi-scale convolutional neural network.

International journal of biological macromolecules Mar 22, 2025
Cas proteins (CRISPR-associated protein) are the core components of the CRISPR-Cas system, playing critical roles in defending against foreign DNA and RNA invasions. Identifying Cas proteins can provide deeper insights into the immune mechanisms of t...
Neural Networks, Computer CRISPR-Associated Proteins Software Convolutional Neural Networks Computational Biology CRISPR-Cas Systems
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