AIMC Topic: Enzymes

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LICEDB: light industrial core enzyme database for industrial applications and AI enzyme design.

Database : the journal of biological databases and curation Feb 19, 2025
Enzymes, serving as eco-friendly catalysts, are progressively supplanting traditional chemical catalysts in light industry sectors such as feed, papermaking, textiles, detergents, leather, and sugar production. Despite this advancement, the variabili...
Databases, Protein Artificial Intelligence Enzymes
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SCREEN: A Graph-based Contrastive Learning Tool to Infer Catalytic Residues and Assess Enzyme Mutations.

Genomics, proteomics & bioinformatics Jan 15, 2025
The accurate identification of catalytic residues contributes to our understanding of enzyme functions in biological processes and pathways. The increasing number of protein sequences necessitates computational tools for the automated prediction of c...
Mutation Neural Networks, Computer Catalytic Domain Humans Computational Biology Machine Learning Software Enzymes
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[AcidBasePred: a protein acid-base tolerance prediction platform based on deep learning].

Sheng wu gong cheng xue bao = Chinese journal of biotechnology Dec 25, 2024
The structures and activities of enzymes are influenced by pH of the environment. Understanding and distinguishing the adaptation mechanisms of enzymes to extreme pH values is of great significance for elucidating the molecular mechanisms and promoti...
Bacterial Proteins Hydrogen-Ion Concentration Proteins Deep Learning Enzymes Amino Acid Sequence Sequence Analysis, Protein
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DeepEnzyme: a robust deep learning model for improved enzyme turnover number prediction by utilizing features of protein 3D-structures.

Briefings in bioinformatics Jul 25, 2024
Turnover numbers (kcat), which indicate an enzyme's catalytic efficiency, have a wide range of applications in fields including protein engineering and synthetic biology. Experimentally measuring the enzymes' kcat is always time-consuming. Recently, ...
Enzymes Protein Conformation Proteins Models, Molecular Computational Biology Deep Learning Algorithms
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MPEK: a multitask deep learning framework based on pretrained language models for enzymatic reaction kinetic parameters prediction.

Briefings in bioinformatics Jul 25, 2024
Enzymatic reaction kinetics are central in analyzing enzymatic reaction mechanisms and target-enzyme optimization, and thus in biomanufacturing and other industries. The enzyme turnover number (kcat) and Michaelis constant (Km), key kinetic parameter...
Kinetics Enzymes Computational Biology Deep Learning Algorithms
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[Progress in the application of artificial intelligence-assisted molecular modification of enzymes].

Sheng wu gong cheng xue bao = Chinese journal of biotechnology Jun 25, 2024
Natural enzymes are often difficult to meet the needs of application and research in terms of activity, enantiomer selectivity or thermal stability. Therefore, it is an important task of enzyme engineering to explore efficient molecular modification ...
Enzymes Artificial Intelligence Protein Engineering
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ifDEEPre: large protein language-based deep learning enables interpretable and fast predictions of enzyme commission numbers.

Briefings in bioinformatics May 23, 2024
Accurate understanding of the biological functions of enzymes is vital for various tasks in both pathologies and industrial biotechnology. However, the existing methods are usually not fast enough and lack explanations on the prediction results, whic...
Deep Learning Algorithms Proteins Computational Biology Software Enzymes Databases, Protein
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'Set it and forget it': automated lab uses AI and robotics to improve proteins.

Nature Jan 1, 2024
Temperature Robotics Automation, Laboratory Enzymes Enzyme Stability Artificial Intelligence
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Illuminating enzyme design using deep learning.

Nature chemistry Jun 1, 2023
Protein Conformation Enzymes Deep Learning
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Data-driven enzyme engineering to identify function-enhancing enzymes.

Protein engineering, design & selection : PEDS Jan 21, 2023
Identifying function-enhancing enzyme variants is a 'holy grail' challenge in protein science because it will allow researchers to expand the biocatalytic toolbox for late-stage functionalization of drug-like molecules, environmental degradation of p...
Biocatalysis Proteins Enzymes Protein Engineering Machine Learning Catalysis
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