Integrative structure modeling of macromolecular assemblies from proteomics data.
Proteomics techniques have been used to generate comprehensive lists of protein interactions in a number of species. However, relatively little is known about how these interactions result in functional multiprotein complexes. This gap can be bridged by combining data from proteomics experiments with data from established structure determination techniques. Correspondingly, integrative computational methods are being developed to provide descriptions of protein complexes at varying levels of accuracy and resolution, ranging from complex compositions to detailed atomic structures.
Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, California 94158, USA. kerenl@salilab.org
Keren
K
Lasker
Jeremy L
JL
Phillips
Daniel
D
Russel
Javier
J
Velázquez-Muriel
Dina
D
Schneidman-Duhovny
Elina
E
Tjioe
Ben
B
Webb
Avner
A
Schlessinger
Andrej
A
Sali
D006801:Humans; D008958:Models, Molecular; D046912:Multiprotein Complexes / Q000378:metabolism*; D040901:Proteomics / Q000379:methods*; D012319:RNA Polymerase II / Q000737:chemistry / Q000378:metabolism
D046912:Multiprotein Complexes; D012319:RNA Polymerase II