Title | ||
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A framework to optimize protein structure from solution scattering using ADMM and an elastic subdomain network |
Abstract | ||
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Small Angle X-Ray Scattering (SAXS) has become a widely used tool to study protein structure. However, determining protein configurations from SAXS measurements is a very ill-posed challenge and constrained optimization frameworks are needed to solve this inverse problem. In this work we propose an elastic subdomain based approach with explicit water dummy residues built in a modular ADMM optimization framework. Results show comparable accuracy to similar methods with a restricted choice of parameters while its modularity holds potential for incorporating additional prior information. |
Year | DOI | Venue |
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2016 | 10.1109/ISBI.2016.7493231 | 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) |
Keywords | Field | DocType |
SAXS,Elastic Network Models,Inverse Problems,Optimization,ADMM | Computer science,Inverse problem,Scattering,Artificial intelligence,Protein structure,Mathematical optimization,Pattern recognition,Small-angle X-ray scattering,Algorithm,Modular design,Elasticity (economics),Modularity,Constrained optimization | Conference |
ISSN | Citations | PageRank |
1945-7928 | 0 | 0.34 |
References | Authors | |
1 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Biel Roig-Solvas | 1 | 0 | 0.68 |
Jaydeep P. Bardhan | 2 | 56 | 8.55 |
Deniz Erdogmus | 3 | 1299 | 169.92 |
Dana H Brooks | 4 | 215 | 61.52 |
Lee Makowski | 5 | 2 | 2.60 |