[HTML][HTML] De novo protein design—From new structures to programmable functions
T Kortemme - Cell, 2024 - cell.com
Methods from artificial intelligence (AI) trained on large datasets of sequences and
structures can now" write" proteins with new shapes and molecular functions de novo …
structures can now" write" proteins with new shapes and molecular functions de novo …
Inteins: A Swiss army knife for synthetic biology
Inteins are proteins found in nature that execute protein splicing. Among them, split inteins
stand out for their versatility and adaptability, presenting creative solutions for addressing …
stand out for their versatility and adaptability, presenting creative solutions for addressing …
Targeting protein–ligand neosurfaces with a generalizable deep learning tool
Molecular recognition events between proteins drive biological processes in living systems.
However, higher levels of mechanistic regulation have emerged, in which protein–protein …
However, higher levels of mechanistic regulation have emerged, in which protein–protein …
Integrating bioelectronics with cell-based synthetic biology
Biohybrid devices based on engineered cells interfaced with bioelectronics represent a
promising union where the strengths of each field can be synergistically combined, resulting …
promising union where the strengths of each field can be synergistically combined, resulting …
Limits on the computational expressivity of non-equilibrium biophysical processes
Many biological decision-making processes can be viewed as performing a classification
task over a set of inputs, using various chemical and physical processes as" biological …
task over a set of inputs, using various chemical and physical processes as" biological …
[HTML][HTML] What can protein circuit design learn from DNA nanotechnology?
D Yu, X Fan, Z Chen - Current Opinion in Biomedical Engineering, 2024 - Elsevier
Protein circuit design is still in its infancy in terms of programmability. DNA nanotechnology,
however, excels at this property and its community has created a myriad of circuits and …
however, excels at this property and its community has created a myriad of circuits and …
Distinguishing genelet circuit input pulses via a pulse detector
C Yancey, R Schulman - Natural Computing, 2024 - Springer
Chemical systems have the potential to direct the next generation of dynamic materials if
they can be integrated with a material while acting as the material's own regulatory network …
they can be integrated with a material while acting as the material's own regulatory network …
Targeting protein-ligand neosurfaces using a generalizable deep learning approach
Molecular recognition events between proteins drive biological processes in living systems.
However, higher levels of mechanistic regulation have emerged, where protein-protein …
However, higher levels of mechanistic regulation have emerged, where protein-protein …
A designed Zn2+ sensor domain transmits binding information to transmembrane histidine kinases
Generating stimulus-responsive, allosteric signaling de novo is a significant challenge in
protein design. In natural systems like bacterial histidine kinases (HKs), signal transduction …
protein design. In natural systems like bacterial histidine kinases (HKs), signal transduction …
Light-directed evolution of dynamic, multi-state, and computational protein functionalities
Directed evolution is a powerful method in biological engineering. Current approaches draw
on time-invariant selection mechanisms, ideal for evolving steady-state properties such as …
on time-invariant selection mechanisms, ideal for evolving steady-state properties such as …