Genome Mining-based Enzyme Discovery Services

CD Biosynsis is a leading AI enzyme expert with extensive experience in using artificial intelligence to promote enzyme discovery and design. Our goal is to provide a state-of-the-art computational approach - enzyme genome mining that is a tool for automated detection and annotation of biosynthetic gene clusters (BGC) from genomic data, paving the way for your enzyme discovery and design projects.

Overview of Genome Enzyme Mining

The development of DNA sequencing technology has led to a rapid increase in the number of available sequenced genes, making genome-based enzyme mining popular. Enzyme genome mining, also known as enzymology-based gene cluster discovery, is a tool that automatically detects and annotates biosynthetic gene clusters (BGCs) from organism genome data to discover novel enzymes. Due to the large amount of sequencing data now available, this approach has been increasingly used in the discovery of natural enzymes. It involves bioinformatic analysis of DNA or protein sequences to search for genes that potentially encode enzymes with interesting or valuable enzymatic activities. A simple enzyme genome mining process starts with the identification of gene clusters, then the DNA or protein sequences of these gene clusters are analyzed to predict the enzymatic activity of the encoded proteins. Once potential enzymes are identified, they are further characterized and validated experimentally to confirm their enzymatic activities.

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