An approach to create novel, functional proteins through the integration of deep mutational scanning, structural analysis, and evolutionary mining within prompts for a generative protein language model (PLM) is described and the utility of this approach is demonstrated with the generation of novel compact RNA-guided nucleases.
EvoMax is established as an integrated strategy for engineering compact eukaryotic Fz2 genome editors and FanzMAX v3-hLa is identified as a high-efficiency programmable nuclease for mammalian genome editing.
Shijie Wan, J. Gold, Pranay Vure et al.· Nature Biotechnology· 1 citation
Raygun is introduced, a generative artificial intelligence framework that enables miniaturization, modification and augmentation of proteins, using a probabilistic encoding of protein sequences constructed from language model embeddings, enabling the kind of coordinated, large-scale sequence modifications that characte...
Kapil Devkota, Daichi Shonai, Joey Mao et al.· Nature· 1 citation
A protein design strategy is used that couples a structure-guided inverse-folding model with evolution-informed residue constraints to generate active, divergent variants of TnpB, a minimal CRISPR-Cas12-like nuclease, termed SynTnpBs, establishing a strategy for creating non-natural RNA-guided nucleases and conformatio...
Petr Skopintsev, Isabel Esain-Garcia, Evan C. DeTurk et al.· Science· 2 citations
In this review, a review of recent in vivo hypermutation tools that enable rapid sampling of the vast evolutionary landscape, all while supporting simultaneous selection of the best proteins within living organisms are discussed.
This work decomposes canonical proteins, intergenic sequences, and recently emerged yeast and fly de novo proteins, together with randomized controls, into short, interpretable fragments (k-mers) and compares them using alignment-free distances.
Lars A. Eicholt, Á. Tóth-Petróczy, R. Goldstein et al.· bioRxiv· 1 citation
Protein assemblies, such as fibers, cages, and sheets, are essential components of biological systems, with versatile functions that make them attractive engineering targets for biotechnological applications. Understanding the complex sequence–structure–function relationships that govern these assemblies is critical fo...
Jenna B. Wolfanger, Shoili Banerjee, Carolyn E. Mills· Chemistry–Methods· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.