Introducing DeepCodon: AI tool boosts gene expression by preserving rare codons! #CodonOptimization #DeepLearning #SyntheticBio
Details: doi.org/10.1016/j.bidere.2025.100042

Synthetic CRISPR Networks Driven by Transcription Factors via Structure-Switching DNA Translators CRISPR-Cas systems have advanced many domains in life sciences, enabling diverse applications in gene editing, diagnostics, and biosensing. Here, we introduce a platform that leverages transcription f...

Thrilled to share our latest work published in @jacs.acspublications.org Great group effort resulting in the developement of DNA translators for transcription factor mediated control of CRISPR-Cas activity. #DNAnanotech #SyntheticBio

Advances in Subcellular Accumulation Design for Recombinant Protein Production in Tobacco | BioDesign Research Plants and their use as bioreactors for the generation of recombinant proteins have become one of the hottest topics in the field of Plant Biotechnology and Plant Synthetic Biology. Plant bioreactors ...

Tobacco bioreactors boost recombinant protein yield via subcellular strategies! #PlantBiotechnology #SyntheticBio
Details: spj.science.org/doi/10.34133/bdr.0047

The March issue of Cell Chemical Biology is out! Click here to read it: #condensates #ferroptosis #lipids #VIPER-TACs #PRDX #ergothioneine #proximity #syntheticbio http://dlvr.it/TJfCD8

Genetic sensors evolve, bio-innovations rise, real-world challenges ahead #SyntheticBio
Details:spj.science.org/doi/10.34133/bdr.0037

Have we tried tick spit for surgical adhesives or creation of nontoxic adhesives? #syntheticBio
Engineers have had great success with mussel foot proteins for surgical adhesives but if we need something that really sticks externally...🧪🩺

The future of machine learning for small-molecule drug discovery will be driven by data - Nature Computational Science The application of machine learning techniques to small-molecule drug discovery has not yet yielded a true leap forward in the field. This Perspective discusses how a renewed focus on data and validat...

Similar challenges - data scarcity, #bias, noise - also limit #ML-guided #proteindesign. We need to generate new data through computational (e.g., de novo design) & experimental (e.g., SPPS, #syntheticbio) approaches are essential doi.org/10.1038/s435...

The future of machine learning for small-molecule drug discovery will be driven by data Nature Computational Science - The application of machine learning techniques to small-molecule drug discovery has not yet yielded a true leap forward in the field. This Perspective discusses how a...

Similar challenges - data scarcity, #bias, noise - also limit #ML-guided #proteindesign. We need to generate new data through computational (e.g., de novo design) & experimental (e.g., SPPS, #syntheticbio) approaches are essential

doi.org/10.1038/s43588…