Faculty Opinions recommendation of Computational design of self-assembling protein nanomaterials with atomic level accuracy.

Author(s):  
Lin Chen ◽  
Reza Kalhor
Science ◽  
2012 ◽  
Vol 336 (6085) ◽  
pp. 1171-1174 ◽  
Author(s):  
N. P. King ◽  
W. Sheffler ◽  
M. R. Sawaya ◽  
B. S. Vollmar ◽  
J. P. Sumida ◽  
...  

Science ◽  
2018 ◽  
Vol 362 (6415) ◽  
pp. 705-709 ◽  
Author(s):  
Hao Shen ◽  
Jorge A. Fallas ◽  
Eric Lynch ◽  
William Sheffler ◽  
Bradley Parry ◽  
...  

We describe a general computational approach to designing self-assembling helical filaments from monomeric proteins and use this approach to design proteins that assemble into micrometer-scale filaments with a wide range of geometries in vivo and in vitro. Cryo–electron microscopy structures of six designs are close to the computational design models. The filament building blocks are idealized repeat proteins, and thus the diameter of the filaments can be systematically tuned by varying the number of repeat units. The assembly and disassembly of the filaments can be controlled by engineered anchor and capping units built from monomers lacking one of the interaction surfaces. The ability to generate dynamic, highly ordered structures that span micrometers from protein monomers opens up possibilities for the fabrication of new multiscale metamaterials.


2015 ◽  
Vol 112 (34) ◽  
pp. 10714-10719 ◽  
Author(s):  
Yun Mou ◽  
Po-Ssu Huang ◽  
Fang-Ciao Hsu ◽  
Shing-Jong Huang ◽  
Stephen L. Mayo

Homodimers are the most common type of protein assembly in nature and have distinct features compared with heterodimers and higher order oligomers. Understanding homodimer interactions at the atomic level is critical both for elucidating their biological mechanisms of action and for accurate modeling of complexes of unknown structure. Computation-based design of novel protein–protein interfaces can serve as a bottom-up method to further our understanding of protein interactions. Previous studies have demonstrated that the de novo design of homodimers can be achieved to atomic-level accuracy by β-strand assembly or through metal-mediated interactions. Here, we report the design and experimental characterization of a α-helix–mediated homodimer with C2 symmetry based on a monomeric Drosophila engrailed homeodomain scaffold. A solution NMR structure shows that the homodimer exhibits parallel helical packing similar to the design model. Because the mutations leading to dimer formation resulted in poor thermostability of the system, design success was facilitated by the introduction of independent thermostabilizing mutations into the scaffold. This two-step design approach, function and stabilization, is likely to be generally applicable, especially if the desired scaffold is of low thermostability.


2013 ◽  
Vol 135 (36) ◽  
pp. 13393-13399 ◽  
Author(s):  
Jeremy H. Mills ◽  
Sagar D. Khare ◽  
Jill M. Bolduc ◽  
Farhad Forouhar ◽  
Vikram Khipple Mulligan ◽  
...  

2017 ◽  
Vol 2 (3) ◽  
pp. 321-335 ◽  
Author(s):  
Sai Vamshi R. Jonnalagadda ◽  
Eirini Ornithopoulou ◽  
Asuka A. Orr ◽  
Estelle Mossou ◽  
V. Trevor Forsyth ◽  
...  

FESEM picture of the amyloid fibrils formed by the computationally designed self-assembling peptide RGDSGAITIGY.


2016 ◽  
Vol 113 (37) ◽  
pp. 10346-10351 ◽  
Author(s):  
James T. MacDonald ◽  
Burak V. Kabasakal ◽  
David Godding ◽  
Sebastian Kraatz ◽  
Louie Henderson ◽  
...  

The ability to design and construct structures with atomic level precision is one of the key goals of nanotechnology. Proteins offer an attractive target for atomic design because they can be synthesized chemically or biologically and can self-assemble. However, the generalized protein folding and design problem is unsolved. One approach to simplifying the problem is to use a repetitive protein as a scaffold. Repeat proteins are intrinsically modular, and their folding and structures are better understood than large globular domains. Here, we have developed a class of synthetic repeat proteins based on the pentapeptide repeat family of beta-solenoid proteins. We have constructed length variants of the basic scaffold and computationally designed de novo loops projecting from the scaffold core. The experimentally solved 3.56-Å resolution crystal structure of one designed loop matches closely the designed hairpin structure, showing the computational design of a backbone extension onto a synthetic protein core without the use of backbone fragments from known structures. Two other loop designs were not clearly resolved in the crystal structures, and one loop appeared to be in an incorrect conformation. We have also shown that the repeat unit can accommodate whole-domain insertions by inserting a domain into one of the designed loops.


2014 ◽  
Vol 111 (42) ◽  
pp. 15102-15107 ◽  
Author(s):  
Arnout R. D. Voet ◽  
Hiroki Noguchi ◽  
Christine Addy ◽  
David Simoncini ◽  
Daiki Terada ◽  
...  

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