AIMC Topic: Kluyveromyces
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Machine learning reveals genes impacting oxidative stress resistance across yeasts.
Nature communications
Jul 1, 2025
Reactive oxygen species (ROS) are highly reactive molecules encountered by yeasts during routine metabolism and during interactions with other organisms, including host infection. Here, we characterize the variation in resistance to the ROS-inducing ...
Machine learning-enhanced modeling and characterization for optimizing dietary Fiber production from Highland barley bran.
International journal of biological macromolecules
Nov 14, 2024
This study investigated the modification of highland barley bran through co-fermentation of Lactobacillus bulgaricus and Kluyveromyces marxianus, and developed a dynamic prediction model for DF content under these co-fermentation conditions using mac...
Protein Abundance Prediction Through Machine Learning Methods.
Journal of molecular biology
Sep 23, 2021
Proteins are responsible for most physiological processes, and their abundance provides crucial information for systems biology research. However, absolute protein quantification, as determined by mass spectrometry, still has limitations in capturing...
A deep learning framework combined with word embedding to identify DNA replication origins.
Scientific reports
Jan 12, 2021
The DNA replication influences the inheritance of genetic information in the DNA life cycle. As the distribution of replication origins (ORIs) is the major determinant to precisely regulate the replication process, the correct identification of ORIs ...
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