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Unique AI method for generating proteins will speed up drug development

Researchers from Chalmers University of Technology have developed an AI-based approach called ProteinGAN, which uses generative deep learning to create highly diverse protein variants with naturalistic-like physical properties. This method accelerates the rate of protein engineering, driving down development costs and enabling environm...

SourceChalmers University of Technology·JournalNature Machine Intelligence·DateMar 30, 2021

New technique could streamline drug design

Researchers developed a process that reduces computational protein design work by using 3D structural models to project novel combinations of molecular blocks. This approach could ease the development of new medications and materials.

SourceDartmouth College·JournalProceedings of the National Academy of Sciences·DateFeb 27, 2020

Designer proteins

Researchers are now designing new proteins from scratch with specific functions using computational methods, enabling the creation of novel structures and properties. This breakthrough has significant implications for fields such as vaccine design, targeted drug delivery, and 'smart' therapeutics.

SourceETH Zurich·JournalNature·DateFeb 7, 2020

Paving the way towards 'designer organelles'

Researchers at the University of Leeds have created an alternative pathway for peroxisome organelles to import proteins, leading to the development of 'designer organelles'. These custom compartments could be used as biofactories for producing therapeutic proteins or other useful molecules.

SourceUniversity of Leeds·JournalNature Communications·DateSep 6, 2017

Dartmouth investigators conduct systematic testing of deimmunized biotherapeutic agents

The Dartmouth team created a systematic testing platform to analyze deimmunized protein design space. Their analysis revealed that experimentally measured molecular fitness mapped closely onto the computational design space for 18 deimmunized drug candidates, demonstrating potential to predict and design tradeoffs between immunogenicit...

SourceThe Geisel School of Medicine at Dartmouth·JournalPLOS Computational Biology·DateJan 28, 2015