Proteins represent the most sophisticated building blocks available to an organism and to the laboratory chemist. Yet, in contrast to nearly all other types of molecular building blocks, the designed self-assembly of proteins has largely been inaccessible because of the chemical and structural heterogeneity of protein surfaces. To circumvent the challenge of programming extensive non-covalent interactions to control protein self-assembly, we have previously exploited the directionality and strength of metal coordination interactions to guide the formation of closed, homoligomeric protein assemblies. Here, we extend this strategy to the generation of periodic protein arrays. We show that a monomeric protein with properly oriented coordinatio...
Recent advances in computational methods have enabled the predictive design of self-assembling prote...
Recent advances in computational methods have enabled the predictive design of self-assembling prote...
Recent advances in computational methods have enabled the predictive design of self-assembling prote...
Proteins represent the most sophisticated building blocks available to an organism and to the labora...
Proteins represent the most sophisticated building blocks available to an organism or the laboratory...
Proteins represent the most sophisticated building blocks available to an organism or the laboratory...
Protein-protein interactions are ubiquitous throughout nature at many length and time scales—from tr...
Self-assembly of molecular building blocks into higher-order structures is exploited in living syste...
Nature has long been a source of fascination, inspiration and humility for chemists. Despite our bes...
Many proteins exist naturally as symmetrical homooligomers or homopolymers1. The emergent structural...
Many proteins exist naturally as symmetrical homooligomers or homopolymers1. The emergent structural...
Many proteins exist naturally as symmetrical homooligomers or homopolymers1. The emergent structural...
We describe a general computational method for designing proteins that self-assemble to a desired sy...
The de novo design of protein-protein interactions (PPIs) has proven to be an immense challenge due ...
Recent advances in computational methods have enabled the predictive design of self-assembling prote...
Recent advances in computational methods have enabled the predictive design of self-assembling prote...
Recent advances in computational methods have enabled the predictive design of self-assembling prote...
Recent advances in computational methods have enabled the predictive design of self-assembling prote...
Proteins represent the most sophisticated building blocks available to an organism and to the labora...
Proteins represent the most sophisticated building blocks available to an organism or the laboratory...
Proteins represent the most sophisticated building blocks available to an organism or the laboratory...
Protein-protein interactions are ubiquitous throughout nature at many length and time scales—from tr...
Self-assembly of molecular building blocks into higher-order structures is exploited in living syste...
Nature has long been a source of fascination, inspiration and humility for chemists. Despite our bes...
Many proteins exist naturally as symmetrical homooligomers or homopolymers1. The emergent structural...
Many proteins exist naturally as symmetrical homooligomers or homopolymers1. The emergent structural...
Many proteins exist naturally as symmetrical homooligomers or homopolymers1. The emergent structural...
We describe a general computational method for designing proteins that self-assemble to a desired sy...
The de novo design of protein-protein interactions (PPIs) has proven to be an immense challenge due ...
Recent advances in computational methods have enabled the predictive design of self-assembling prote...
Recent advances in computational methods have enabled the predictive design of self-assembling prote...
Recent advances in computational methods have enabled the predictive design of self-assembling prote...
Recent advances in computational methods have enabled the predictive design of self-assembling prote...