Computational tools for the interactive exploration of proteomic and structural data.
Linking proteomics and structural data is critical to our understanding of cellular processes, and interactive exploration of these complementary data sets can be extremely valuable for developing or confirming hypotheses in silico. However, few computational tools facilitate linking these types of data interactively. In addition, the tools that do exist are neither well understood nor widely used by the proteomics or structural biology communities. We briefly describe several relevant tools, and then, using three scenarios, we present in depth two tools for the integrated exploration of proteomics and structural data.
Resource for Biocomputing, Visualization, and Informatics, Department of Pharmaceutical Chemistry, University of California, San Francisco, California 94158-2517, USA.
John H
JH
Morris
Elaine C
EC
Meng
Thomas E
TE
Ferrin
D000818:Animals; D030562:Databases, Protein; D006801:Humans; D008958:Models, Molecular; D050505:Mutant Proteins / Q000737:chemistry; D011485:Protein Binding; D011506:Proteins / Q000737:chemistry*; D040901:Proteomics / Q000379:methods*; D012441:Saccharomyces cerevisiae / Q000201:enzymology; D012984:Software
D050505:Mutant Proteins; D011506:Proteins