Computational design of proteins satisfying predetermined geometric constraints produced stable proteins with the designed structure that are not found in nature.
Archive for the 'Productive Nanosystems' Category
A fully automated design protocol generates dozens of designs for proteins based on helix-loop-helix-loop repeat units that are very stable, have crystal structures that match the design, have very different overall shapes, and are unrelated to any natural protein.
The ability to dope graphene nanoribbons with boron atoms to atomic precision opens a range of possible new applications, from chemical sensing to nanoelectronics to photocatalysis to battery electrodes.
An automated design process folds arbitrary meshes to produce DNA origami structures difficult to design by previous methods, including more open structures that are stable in ionic conditions used in biological assays.
Nanobreadboards made of DNA bricks provide twice the positional precision, twice the packing density, and faster prototyping than do alternative means to arrange functional molecules.
By precise control of several factors, uniform high-performance monolayers of the semiconductor MoS2 have been obtained and used to fabricate field-effect transistors.
Designing and building spiroligomers, robust building blocks of various 3D shapes made from unnatural amino acids, decorated with various functional groups, and linked rigidly together by pairs of bonds, and a new approach to nanotechnology design software.
A US government Request for Information (RFI) is seeking suggestions for Nanotechnology-Inspired Grand Challenges for the Next Decade. The manufacture of atomically-precise materials is offered as #4 of 6 examples.
Linking proteins to DNA scaffolds to produce complex functional nanostructures can require chemistry that damages protein function. A new systematic approach avoids exposing proteins to damaging conditions.
A European Science and Technology Roadmap for Graphene, Related Two-Dimensional Crystals, and Hybrid Systems hints at the opportunities to be harvested from, and the need for, the development of atomically precise manufacturing (APM).
The Theory Prize was given for research into diamond nanoparticles; the Experimental Prize was given for development of scanning tunneling microscope (STM) technology.
Design and computational simulation of amyloid proteins of diverse functions from diverse sources enable the self-assembly of proteins that could provide scaffolds for diverse applications.
RNA origami brings new dimensions to nucleic acid nanotechnology by exploiting the much greater variety of RNA structural motifs (compared to DNA) to do what cannot easily be done with DNA origami, like fold into predetermined nanostructures rapidly while being transcribed.
Iterative coupling, purification, and cyclization of a large collection of organic building blocks promises a vast array of complex small and medium sized molecules as candidates for drug discovery, catalysis, and nanotechnology.
A commentary over at Gizmodo argues that ideas about molecular manufacturing that sounded like science fiction in 1986 now sound more like science fact.
The idea that nanorobots fabricated by atomically precise manufacturing processes are a likely part of our future, and that this is a good thing, is appearing more frequently, largely as a result of Drexler’s recent book Radical Abundance.
Scaffolded DNA origami is combined with hinges of single- or double-stranded DNA to built simple machines parts that have been combined to program simple to complex motions.
One example is presented of how well the meme is spreading that nanotechnology will evolve toward atomically precise manufacturing that will in turn bring forth a world of abundance.
Combinations of different types of DNA nanorobots, implementing different logic gates, work together to tag a specific type of cell in a living cockroach depending on the presence or absence of two protein signals.
A more general computational framework predicts the structures of 2D and 3D-curved DNA nanostructures impossible to predict using previously available computational methods. May lead to 3D-printing DNA nanostructures?