New technology to identify and engineer protease substrates

Researchers at UC Santa Barbara have developed a new biotechnology that enables scientists to identify and engineer protease substrates, giving them the means of crafting pharmaceuticals to outsmart disease.

Their work, authored by Patrick Daugherty, an assistant professor of Chemical Engineering, and Kevin Boulware, a PhD candidate, are published online in the Proceedings of the National Academy of Sciences.

Proteases (or peptidases) are encoded by about two percent of genes in the human genome and play key roles in nearly all diseases. They act as "molecular scissors" by attaching to specific sequences contained within other proteins, called substrates, and cutting them in specific locations. For example, proteases are responsible for digesting food, for determining the proper time for cells to die, and for removing damaged proteins from the body.

But the substrates for most proteases are unknown, and this has limited researchers' ability to facilitate or thwart protease action. By identifying substrates, scientists gain the ability to regulate protein function, creating the capacity to speed up, slow down or eliminate particular protease actions. Daugherty's approach also makes it easier to measure protease action and thus develop pharmaceuticals that control protease activity.

Daugherty and Boulware developed a general combinatorial approach to identify optimal substrates of proteases, using quantitative kinetic screening of cellular libraries of peptide substrates (CLiPS). The results suggest that CLiPS will be broadly useful for characterizing proteases and developing optimal substrates for therapeutic applications.

Of the roughly 1,000 proteases in the human genome, only about ten percent of the targets have been identified, but Daugherty believes that scientists will identify nearly all of them in the next five to ten years. "This technology will give us a scalable tool that will allow us to effectively tackle this challenge," he says.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Shaping the Future of Neuroscience: A Conversation with Atlas Antibodies on the MolBoolean™ and the Impact of SfN 2024