AIMC Topic: Trypsin

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A comparative study of family-specific protein-ligand complex affinity prediction based on random forest approach.

Journal of computer-aided molecular design Dec 20, 2014
The assessment of binding affinity between ligands and the target proteins plays an essential role in drug discovery and design process. As an alternative to widely used scoring approaches, machine learning methods have also been proposed for fast pr...
Humans Artificial Intelligence Computer-Aided Design Drug Design Protein Binding Proteins Databases, Protein Models, Biological Ligands HIV Protease Trypsin Carbonic Anhydrases
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The neXtProt knowledgebase in 2020: data, tools and usability improvements.

Nucleic acids research Jan 8, 2020
The neXtProt knowledgebase (https://www.nextprot.org) is an integrative resource providing both data on human protein and the tools to explore these. In order to provide comprehensive and up-to-date data, we evaluate and add new data sets. We describ...
Humans Software Peptides User-Computer Interface Sequence Analysis, RNA Mass Spectrometry Protein Processing, Post-Translational Proteins Databases, Protein Internet Protein Kinases Knowledge Bases Trypsin
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Artificial neuronal networks (ANN) to model the hydrolysis of goat milk protein by subtilisin and trypsin.

The Journal of dairy research Aug 1, 2018
The enzymatic hydrolysis of milk proteins yield final products with improved properties and reduced allergenicity. The degree of hydrolysis (DH) influences both technological (e.g., solubility, water binding capacity) and biological (e.g., angiotensi...
Neural Networks, Computer Animals Antioxidants Antihypertensive Agents Goats Hydrolysis Protein Hydrolysates Trypsin Milk Proteins Milk Hypersensitivity Subtilisin
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