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Deep-learning algorithm aims to accelerate protein engineering

A new deep-learning algorithm, ECNet, has been developed to accelerate protein engineering by predicting the fitness of all possible sequences. By incorporating evolutionary history, ECNet outperforms current methods on several datasets and identifies novel mutants with improved fitness.

SourceCarl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign·JournalNature Communications·TypeComputational simulation/modeling·DateOct 7, 2021

The development of better biotech enzymes

A research team led by Professor Kam-bo Wong engineered thermophilic enzymes to increase their activity at high temperatures without compromising stability. The findings provide insights into the design of biotechnologically important enzymes.

SourcePLOS·JournalPLOS Biology·DateMar 15, 2011

Designed biomaterials mimicking biology

Engineered proteins mimic titin, a key muscle protein, to create a tough yet extensible scaffold for muscle regeneration. The biodegradable biomaterial could aid in the healing process by allowing new tissue to grow across injuries.

SourceVirginia Tech·JournalNature·DateMay 5, 2010