AIMC Topic: Biocatalysis
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Artificial Intelligence Methods and Models for Retro-Biosynthesis: A Scoping Review.
ACS synthetic biology
Jul 24, 2024
Retrosynthesis aims to efficiently plan the synthesis of desirable chemicals by strategically breaking down molecules into readily available building block compounds. Having a long history in chemistry, retro-biosynthesis has also been used in the fi...
ALDELE: All-Purpose Deep Learning Toolkits for Predicting the Biocatalytic Activities of Enzymes.
Journal of chemical information and modeling
Apr 4, 2024
Rapidly predicting enzyme properties for catalyzing specific substrates is essential for identifying potential enzymes for industrial transformations. The demand for sustainable production of valuable industry chemicals utilizing biological resources...
Raman spectroscopy and one-dimensional convolutional neural network modeling as a real-time monitoring tool for in vitro transaminase-catalyzed synthesis of a pharmaceutically relevant amine precursor.
Biotechnology progress
Mar 27, 2024
Raman spectroscopy has been used to measure the concentration of a pharmaceutically relevant model amine intermediate for positive allosteric modulators of nicotinic acetylcholine receptor in a ω-transaminase-catalyzed conversion. A model based on a ...
Enzyme function prediction using contrastive learning.
Science (New York, N.Y.)
Mar 30, 2023
Enzyme function annotation is a fundamental challenge, and numerous computational tools have been developed. However, most of these tools cannot accurately predict functional annotations, such as enzyme commission (EC) number, for less-studied protei...
De novo design of luciferases using deep learning.
Nature
Feb 22, 2023
De novo enzyme design has sought to introduce active sites and substrate-binding pockets that are predicted to catalyse a reaction of interest into geometrically compatible native scaffolds, but has been limited by a lack of suitable protein structur...
Machine Learning for Prediction, Classification, and Identification of Immobilized Enzymes for Biocatalysis.
Pharmaceutical research
Jan 18, 2023
BACKGROUND: Enzyme immobilization is a beneficial component involved in biocatalytic strategies. Understanding and evaluating the enzyme immobilization system plays an important role in the successful development and implementation of the biocatalysi...
Machine Learning and Chemical Imaging to Elucidate Enzyme Immobilization for Biocatalysis.
Analytical chemistry
Aug 24, 2021
Biocatalysis has rapidly become an essential tool in the scientific and industrial communities for the development of efficient, safe, and sustainable chemical syntheses. Immobilization of the biocatalyst, typically an engineered enzyme, offers signi...
A hierarchical deep learning based approach for multi-functional enzyme classification.
Protein science : a publication of the Protein Society
Jun 28, 2021
Enzymes are critical proteins in every organism. They speed up essential chemical reactions, help fight diseases, and have a wide use in the pharmaceutical and manufacturing industries. Wet lab experiments to figure out an enzyme's function are time ...
Bio-transformation of green tea infusion with tannase and its improvement on adipocyte metabolism.
Enzyme and microbial technology
Dec 23, 2019
Catechins in green tea possess various health benefits. Enzymatic treatment improves physiological activities by inducing bioconversion of catechins. Here, we investigated the effect of green tea infusion (GT) after tannase treatment, which transform...
Construction of arming Yarrowia lipolytica surface-displaying soybean seed coat peroxidase for use as whole-cell biocatalyst.
Enzyme and microbial technology
Dec 20, 2019
Whole-cell biocatalysts could be used in wide-ranging applications. In this study, a new kind of whole-cell biocatalyst was successfully constructed by genetically immobilizing soybean seed coat peroxidase (SBP) on the cell surface of Yarrowia lipoly...
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