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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.

Enzymatic kinetics in an ultra-high-throughput format

Pharmaceutical scientists at NUS developed DOMEK method to characterise enzyme-substrate interactions, enabling analysis of thousands of potential substrates. The technique combines mRNA display and next-generation sequencing to calculate specificity constant for each substrate.

SAMSUNG T9 Portable SSD 2TB

SAMSUNG T9 Portable SSD 2TB transfers large imagery and model outputs quickly between field laptops, lab workstations, and secure archives.

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.

Rigol DP832 Triple-Output Bench Power Supply

Rigol DP832 Triple-Output Bench Power Supply powers sensors, microcontrollers, and test circuits with programmable rails and stable outputs.

Bioengineering team develops a remote lab to teach enzyme kinetics

Researchers from the University of Illinois at Urbana-Champaign created a remote laboratory activity to teach undergraduate students about enzyme kinetics. The at-home kit included basic equipment and protocols that allowed students to conduct experiments and collect data, providing an alternative to traditional lab techniques.