AIMC Topic: Molecular Weight

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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 Glucans Aureobasidium Machine Learning Algorithms Biomass Hydrogen-Ion Concentration Fermentation
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Machine learning-based biological process optimization for low molecular weight welan gum production.

International journal of biological macromolecules Mar 16, 2025
This study focuses on optimizing the fermentation process for the production of low molecular weight welan gum (LMW-WG) using Sphingomonas sp. ATCC 31555 with glycerol as the sole carbon source. A series of single-factor experiments were conducted to...
Neural Networks, Computer Machine Learning Carbon Polysaccharides, Bacterial Glycerol Sphingomonas Kinetics Fermentation Molecular Weight
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Analysis of high-molecular-weight proteins using MALDI-TOF MS and machine learning for the differentiation of clinically relevant Clostridioides difficile ribotypes.

European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology Dec 17, 2024
PURPOSE: Clostridioides difficile is the main cause of antibiotic related diarrhea and some ribotypes (RT), such as RT027, RT181 or RT078, are considered high risk clones. A fast and reliable approach for C. difficile ribotyping is needed for a corre...
Humans Machine Learning Algorithms Clostridioides difficile Molecular Weight Ribotyping Clostridium Infections Europe Bacterial Proteins Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
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Machine-Learning-Aided Understanding of Protein Adsorption on Zwitterionic Polymer Brushes.

ACS applied materials & interfaces May 3, 2024
Constructing antifouling surfaces is a crucial technique for optimizing the performance of devices such as water treatment membranes and medical devices in practical environments. These surfaces are achieved by modification with hydrophilic polymers....
Proteins Polymers Hydrophobic and Hydrophilic Interactions Machine Learning Animals Adsorption Molecular Weight Surface Properties Biofouling
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Increased interpretation of deep learning models using hierarchical cluster-based modelling.

PloS one Dec 7, 2023
Linear prediction models based on data with large inhomogeneity or abrupt non-linearities often perform poorly because relationships between groups in the data dominate the model. Given that the data is locally linear, this can be overcome by splitti...
Least-Squares Analysis Molecular Weight Deep Learning Spectroscopy, Fourier Transform Infrared Neural Networks, Computer
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Targeting protein-protein interactions with low molecular weight and short peptide modulators: insights on disease pathways and starting points for drug discovery.

Expert opinion on drug discovery May 29, 2023
INTRODUCTION: Protein-protein interactions (PPIs) have been often considered undruggable targets although they are attractive for the discovery of new therapeutics. The spread of artificial intelligence and machine learning complemented with experime...
Artificial Intelligence Peptides Drug Discovery Protein Binding Proteins Molecular Weight Humans
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Encoder-decoder neural networks for predicting future FTIR spectra - application to enzymatic protein hydrolysis.

Journal of biophotonics Jun 22, 2022
In the process of converting food-processing by-products to value-added ingredients, fine grained control of the raw materials, enzymes and process conditions ensures the best possible yield and economic return. However, when raw material batches lac...
Neural Networks, Computer Spectroscopy, Fourier Transform Infrared Proteins Hydrolysis Molecular Weight
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Deep learning to design nuclear-targeting abiotic miniproteins.

Nature chemistry Aug 9, 2021
There are more amino acid permutations within a 40-residue sequence than atoms on Earth. This vast chemical search space hinders the use of human learning to design functional polymers. Here we show how machine learning enables the de novo design of ...
Deep Learning Proteins Models, Molecular Protein Conformation Molecular Weight Protein Transport Datasets as Topic Cytosol Cell Nucleus
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Effects of corn straw on dissipation of polycyclic aromatic hydrocarbons and potential application of backpropagation artificial neural network prediction model for PAHs bioremediation.

Ecotoxicology and environmental safety Oct 10, 2019
In order to provide a viable option for remediation of PAHs-contaminated soils, a greenhouse experiment was conducted to assess the effect of corn straw amendment (1%, 2%, 4% or 6%, w/w) on dissipation of aged polycyclic aromatic hydrocarbons (PAHs) ...
Molecular Weight Plant Structures Oxidoreductases Biomass Soil Microbiology Biodegradation, Environmental Carbon Neural Networks, Computer Catalase Soil Pollutants Polycyclic Aromatic Hydrocarbons Soil Zea mays Reproducibility of Results
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Physicochemical characterization and in vitro hypoglycemic activities of polysaccharides from Sargassum pallidum by microwave-assisted aqueous two-phase extraction.

International journal of biological macromolecules Dec 19, 2017
Microwave-assisted aqueous two-phase extraction (MAATPE) was applied for simultaneous extraction and separation of polysaccharides from Sargassum pallidum (SPPs). The optimal extraction parameters, physicochemical properties, and hypoglycemic activit...
Glycoside Hydrolase Inhibitors Polysaccharides Microwaves Amylases Humans alpha-Glucosidases Monosaccharides Liquid-Liquid Extraction Sargassum Molecular Conformation Cell Line, Tumor Microscopy, Atomic Force Hypoglycemic Agents Chemical Phenomena Molecular Weight Spectroscopy, Fourier Transform Infrared Models, Molecular
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