Sandbox Reserved 1382
From Proteopedia
(Difference between revisions)
| Line 2: | Line 2: | ||
==Globular Actin== | ==Globular Actin== | ||
<StructureSection load='3hbt' size='340' side='right' caption='Caption for this structure' scene=''> | <StructureSection load='3hbt' size='340' side='right' caption='Caption for this structure' scene=''> | ||
| - | Globular actin is a monomer that is composed of a larger cleft (active site) and a smaller cleft (allosteric site). Ser14, Ser33, His73, Glu72, Tyr69 are hydrophilic residues of active site. The tertiary structure consists of four major subdomains. Subdomain 1 and 3 form the smaller cleft and subdomain 2 and 4 form the larger cleft. It is filamentous when polymerized (F-actin).<ref>doi:10.2210/rcsb_pdb/mom_2001_7</ref> | + | Globular actin is a monomer that is composed of a larger cleft (active site) and a smaller cleft (allosteric site). <scene name='77/777702/Hydphil_res_of_active_site/1'>Ser14, Ser33, His73, Glu72, Tyr69</scene> are hydrophilic residues of active site. The tertiary structure consists of four major subdomains. Subdomain 1 and 3 form the smaller cleft and subdomain 2 and 4 form the larger cleft. It is filamentous when polymerized (F-actin).<ref>doi:10.2210/rcsb_pdb/mom_2001_7</ref> |
== Function == | == Function == | ||
| Line 13: | Line 13: | ||
Actin provides unique advantages that make this solution more dependable, flexible, and scalable than alternatives. Actin is self-propelled, operates independently, and has small dimensions which makes it able to explore the dense grid network in a parallel manner. ATP is used to power the computation, which eliminates the need of an electric potential to be delivered from a single point of access, which makes powering larger SSP computations realistic. The molecular motor attached to the F-actin is also much more power efficient than traditional computers, effectively eliminating heat dissipation limitations.<ref>doi:10.1073/pnas.1510825113</ref> The actin design can be mass produced as a computing agent for all NP-complete problems since the nature of the problem is inherently encoded into the grid network. Furthermore, actin can also replenish itself through enzymatic splitting and elongation. | Actin provides unique advantages that make this solution more dependable, flexible, and scalable than alternatives. Actin is self-propelled, operates independently, and has small dimensions which makes it able to explore the dense grid network in a parallel manner. ATP is used to power the computation, which eliminates the need of an electric potential to be delivered from a single point of access, which makes powering larger SSP computations realistic. The molecular motor attached to the F-actin is also much more power efficient than traditional computers, effectively eliminating heat dissipation limitations.<ref>doi:10.1073/pnas.1510825113</ref> The actin design can be mass produced as a computing agent for all NP-complete problems since the nature of the problem is inherently encoded into the grid network. Furthermore, actin can also replenish itself through enzymatic splitting and elongation. | ||
| - | |||
| - | [[Image:Figure 4..png|frame|center|15px]] | ||
The preliminary test run on a 3 number SSP provides error rate too high to be within a reasonable margin of error for SSPs with more than 10 numbers (Fig. 4). The error is a direct result of the failure of pass junctions to force 100% of F-actin to traverse in a straight path.<ref>doi:10.1073/pnas.1510825113</ref> Still, the success rate for SSPs with less than 10 variables is acceptable enough to be a viable method of parallel computation. | The preliminary test run on a 3 number SSP provides error rate too high to be within a reasonable margin of error for SSPs with more than 10 numbers (Fig. 4). The error is a direct result of the failure of pass junctions to force 100% of F-actin to traverse in a straight path.<ref>doi:10.1073/pnas.1510825113</ref> Still, the success rate for SSPs with less than 10 variables is acceptable enough to be a viable method of parallel computation. | ||
Revision as of 21:46, 22 February 2018
| This Sandbox is Reserved from January through July 31, 2018 for use in the course HLSC322: Principles of Genetics and Genomics taught by Genevieve Houston-Ludlam at the University of Maryland, College Park, USA. This reservation includes Sandbox Reserved 1311 through Sandbox Reserved 1430. |
To get started:
More help: Help:Editing |
Globular Actin
| |||||||||||
References
- ↑ doi: https://dx.doi.org/10.2210/rcsb_pdb/mom_2001_7
- ↑ Dominguez R, Holmes KC. Actin structure and function. Annu Rev Biophys. 2011;40:169-86. doi: 10.1146/annurev-biophys-042910-155359. PMID:21314430 doi:http://dx.doi.org/10.1146/annurev-biophys-042910-155359
- ↑ Nicolau DV Jr, Lard M, Korten T, van Delft FC, Persson M, Bengtsson E, Mansson A, Diez S, Linke H, Nicolau DV. Parallel computation with molecular-motor-propelled agents in nanofabricated networks. Proc Natl Acad Sci U S A. 2016 Mar 8;113(10):2591-6. doi:, 10.1073/pnas.1510825113. Epub 2016 Feb 22. PMID:26903637 doi:http://dx.doi.org/10.1073/pnas.1510825113
- ↑ Nicolau DV Jr, Lard M, Korten T, van Delft FC, Persson M, Bengtsson E, Mansson A, Diez S, Linke H, Nicolau DV. Parallel computation with molecular-motor-propelled agents in nanofabricated networks. Proc Natl Acad Sci U S A. 2016 Mar 8;113(10):2591-6. doi:, 10.1073/pnas.1510825113. Epub 2016 Feb 22. PMID:26903637 doi:http://dx.doi.org/10.1073/pnas.1510825113
