AI Medical Compendium Journal:
International journal of biological macromolecules

Showing 21 to 30 of 120 articles

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...
Fermentation Molecular Weight Polysaccharides, Bacterial Carbon Kinetics Glycerol Sphingomonas Neural Networks, Computer Machine Learning
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Molecular structure and mechanism of protein MSMB, TPPP3, SPI1: Construction of novel 4 pancreatic cancer-related protein signatures model based on machine learning.

International journal of biological macromolecules Mar 12, 2025
The high mortality rate of pancreatic cancer is closely related to its inconspicuous early symptoms and difficult diagnosis. In recent years, with the rapid development of proteomics and bioinformatics, the use of machine learning technology to analy...
Pancreatic Neoplasms Neoplasm Proteins Gene Expression Regulation, Neoplastic Proteomics Humans Machine Learning Computational Biology
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Targeted conversion of cellulose and hemicellulose macromolecules in the phosphoric acid/acetone/water system: An exploration of machine learning evaluation and product prediction.

International journal of biological macromolecules Mar 8, 2025
The simultaneous hydrolysis of cellulose and hemicellulose involves trade-offs, making precise control of hydrolysis products crucial for sustainable development. This study employed three machine learning (ML) models-Random Forest (RF), Extreme Grad...
Water Cellulose Polysaccharides Hydrolysis Acetone Machine Learning Furaldehyde Phosphoric Acids
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Extraction of pectin from watermelon rinds using sequential ultrasound-microwave technique: Optimization using RSM and ANN modeling and characterization.

International journal of biological macromolecules Mar 8, 2025
This study aimed to optimize pectin extraction from watermelon (Citrullus lanatus) rind using sequential ultrasound-microwave assisted extraction (UMAE) with artificial neural network (ANN) and response surface methodology (RSM). The effects of pH, s...
Chemical Fractionation Ultrasonic Waves Citrullus Viscosity Sonication Microwaves Neural Networks, Computer Spectroscopy, Fourier Transform Infrared Hydrogen-Ion Concentration Pectins
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EVlncRNA-net: A dual-channel deep learning approach for accurate prediction of experimentally validated lncRNAs.

International journal of biological macromolecules Mar 6, 2025
Long non-coding RNAs (lncRNAs) play key roles in numerous biological processes and are associated with various human diseases. High-throughput RNA sequencing (HTlncRNAs) has identified tens of thousands of lncRNAs across species, but only a small fra...
High-Throughput Nucleotide Sequencing Computational Biology Deep Learning Mice Sequence Analysis, RNA RNA, Long Noncoding Humans Neural Networks, Computer Animals
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PredIDR2: Improving accuracy of protein intrinsic disorder prediction by updating deep convolutional neural network and supplementing DisProt data.

International journal of biological macromolecules Mar 5, 2025
Intrinsically disordered proteins (IDPs) or regions (IDRs) are widespread in proteomes, and involved in several important biological processes and implicated in many diseases. Many computational methods for IDR prediction are being developed to decre...
Computational Biology Databases, Protein Intrinsically Disordered Proteins Software Neural Networks, Computer Convolutional Neural Networks ROC Curve
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Development of DeepPQK and DeepQK sequence-based deep learning models to predict protein-ligand affinity and application in the directed evolution of ferulic esterase DLfae4.

International journal of biological macromolecules Mar 5, 2025
Affinity plays an essential role in the rate and stability of enzyme-catalyzed reactions, thus directly impacting the catalytic activity. In general, the predictive method for protein-ligand binding affinity mainly relies on high-resolution protein c...
Amino Acid Sequence Neural Networks, Computer Ligands Deep Learning Carboxylic Ester Hydrolases Protein Binding Models, Molecular Binding Sites Directed Molecular Evolution
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Deep learning-aided preparation and mechanism revaluation of waste wood lignocellulose-based flame-retardant composites.

International journal of biological macromolecules Mar 3, 2025
Wood and its derivatives play a decisive role in traditional Chinese architecture. Waste wood as a major source of garbage in the construction industry represents a valuable source. The efficient recycling of waste wood has become an urgent technical...
Deep Learning Tannins Flame Retardants Lignin Wood Phytic Acid
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Advanced machine learning-driven characterization of new natural cellulosic Lablab purpureus fibers through PCA and K-means clustering techniques.

International journal of biological macromolecules Mar 2, 2025
The increasing demand for sustainable and eco-friendly materials has spurred significant interest in natural fibers as alternatives to synthetic reinforcements in composite applications. This study aims to explore the potential of Lablab purpureus fi...
Machine Learning Spectroscopy, Fourier Transform Infrared Cellulose Lignin X-Ray Diffraction Tensile Strength Principal Component Analysis Polysaccharides Cluster Analysis
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TransRM: Weakly supervised learning of translation-enhancing N6-methyladenosine (mA) in circular RNAs.

International journal of biological macromolecules Feb 27, 2025
As our understanding of Circular RNAs (circRNAs) continues to expand, accumulating evidence has demonstrated that circRNAs can interact with microRNAs and RNA-binding proteins to modulate gene expression. More importantly, a subset of circRNAs has be...
Translating RNA, Circular Supervised Machine Learning Internal Ribosome Entry Sites Adenosine Humans Protein Biosynthesis Computational Biology
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