New AI tool helps match enzymes to substrates
A new AI-powered tool, EZSpecificity, can predict the best enzyme-substrate combination for various applications. The tool outperformed existing models in accuracy, especially for halogenase enzymes.
Substrate Specificity
Articles tagged with Substrate Specificity
Research opens up new avenue for Tuberculosis drug discovery
Scientists from the University of Bath have identified two new families of chemical compounds that inhibit alpha-methylacyl-CoA racemase (MCR) in Mycobacterium tuberculosis, a key enzyme for TB survival. This breakthrough could lead to new treatments for TB and potentially other diseases like prostate cancer.
Finding the enzymatic needle in the database haystack
A Kobe University team developed a technique to classify thousands of enzymes, allowing for rapid evaluation and identification of highly active and versatile enzymes. The approach enabled the discovery of an enzyme with up to 10 times higher productivity than industry standards.
Measuring how much wood a wood shuck shucks with all-new wood shuck food
Researchers at Kobe University have created a new test feed for the fungal molecular machine, allowing them to observe its close-to-natural action. This breakthrough enables the characterization of the enzyme's reaction speed and affinity, crucial parameters for industrial application.
Mechanism for hMTH1's broad substrate specificity revealed
Researchers at Kumamoto University have discovered the key to hMTH1's ability to hydrolyze multiple oxidized dNTPs with high efficiency. The protonation state of specific aspartate residues plays a crucial role in this process, allowing for targeted inhibition of cancer cells.