AIMC Topic: Enzymes

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Deep learning-powered enzyme efficiency boosting with evolutionary information.

Science bulletin Mar 19, 2024
Deep Learning Evolution, Molecular Enzymes
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Acid-resistant enzymes: the acquisition strategies and applications.

Applied microbiology and biotechnology Aug 24, 2023
Enzymes have promising applications in chemicals, food, pharmaceuticals, and other variety products because of their high efficiency, specificity, and environmentally friendly properties. However, due to the complexity of raw materials, pH, temperatu...
Pharmaceutical Preparations Artificial Intelligence Enzymes, Immobilized Protein Engineering Enzymes Temperature
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Bioengineered Enzymes and Precision Fermentation in the Food Industry.

International journal of molecular sciences Jun 15, 2023
Enzymes have been used in the food processing industry for many years. However, the use of native enzymes is not conducive to high activity, efficiency, range of substrates, and adaptability to harsh food processing conditions. The advent of enzyme e...
Artificial Intelligence Fermentation Biomedical Engineering Food Handling Food-Processing Industry Enzymes
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Rank-ordering of known enzymes as starting points for re-engineering novel substrate activity using a convolutional neural network.

Metabolic engineering Jun 8, 2023
Retro-biosynthetic approaches have made significant advances in predicting synthesis routes of target biofuel, bio-renewable or bio-active molecules. The use of only cataloged enzymatic activities limits the discovery of new production routes. Recent...
Neural Networks, Computer Algorithms Protein Engineering Enzymes
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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...
Biocatalysis Molecular Sequence Annotation Computational Biology Proteins Enzymes Sequence Analysis, Protein Machine Learning Algorithms Reproducibility of Results Genomics
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High-throughput screening, next generation sequencing and machine learning: advanced methods in enzyme engineering.

Chemical communications (Cambridge, England) Feb 17, 2022
Enzyme engineering is an important biotechnological process capable of generating tailored biocatalysts for applications in industrial chemical conversion and biopharma. Typical enhancements sought in enzyme engineering and evolution campaigns inclu...
Protein Engineering Enzymes High-Throughput Nucleotide Sequencing High-Throughput Screening Assays Humans Machine Learning
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Deep learning allows genome-scale prediction of Michaelis constants from structural features.

PLoS biology Oct 19, 2021
The Michaelis constant KM describes the affinity of an enzyme for a specific substrate and is a central parameter in studies of enzyme kinetics and cellular physiology. As measurements of KM are often difficult and time-consuming, experimental estima...
Neural Networks, Computer Deep Learning Substrate Specificity Genome Kinetics Enzymes Databases, Genetic Models, Biological Metabolomics
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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...
Kluyveromyces Codon Usage Saccharomyces cerevisiae Enzymes Saccharomyces cerevisiae Proteins Protein Biosynthesis Biological Evolution Computational Biology Machine Learning Escherichia coli Schizosaccharomyces Algorithms
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The Enzyme Portal: an integrative tool for enzyme information and analysis.

The FEBS journal Sep 3, 2021
Enzymes play essential roles in all life processes and are used extensively in the biomedical and biotechnological fields. However, enzyme-related information is spread across multiple resources making its retrieval time-consuming. In response to thi...
Knowledge Bases Enzymes
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Prediction of Drug-Target Interactions by Combining Dual-Tree Complex Wavelet Transform with Ensemble Learning Method.

Molecules (Basel, Switzerland) Sep 3, 2021
Identification of drug-target interactions (DTIs) is vital for drug discovery. However, traditional biological approaches have some unavoidable shortcomings, such as being time consuming and expensive. Therefore, there is an urgent need to develop no...
Enzymes Databases, Protein Ion Channels Receptors, G-Protein-Coupled Drug Development Wavelet Analysis Support Vector Machine Receptors, Cytoplasmic and Nuclear
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