Title
A framework to optimize protein structure from solution scattering using ADMM and an elastic subdomain network
Abstract
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
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-Solvas100.68
Jaydeep P. Bardhan2568.55
Deniz Erdogmus31299169.92
Dana H Brooks421561.52
Lee Makowski522.60