TY - JOUR
T1 - Structural genomics plucks high-hanging membrane proteins
AU - Kloppmann, Edda
AU - Punta, Marco
AU - Rost, Burkhard
N1 - Funding Information:
Thanks to Wayne Hendrickson (Columbia University), James Love (Albert Einstein College of Medicine), Brian Kloss and Renato Bruni (New York Structural Biology Center and New York Consortium on Membrane Protein Structure), and many others at the New York Consortium on Membrane Protein Structure for their important help and support. Thanks to Jaina Mistry (Wellcome Trust Sanger Institute) for providing the mapping between PDB entries and Pfam families. Thanks to Tim Karl and Laszlo Kajan (TUM) for invaluable help with hardware and software; to Marlena Drabik (TUM) and Ed Johnson (Columbia University) for their administrative support. This work was supported by a grant from the Alexander von Humboldt foundation through the German Federal Ministry for Education and Research (BMBF) and by the grant U54 GM095315 to the New York Consortium on Membrane Protein Structure (NYCOMPS) from the Protein Structure Initiative (PSI) of the National Institutes of Health (NIH). Last, not least, thanks to all those who deposit their experimental data in public databases, and to those who maintain these databases.
PY - 2012/6
Y1 - 2012/6
N2 - Recent years have seen the establishment of structural genomics centers that explicitly target integral membrane proteins. Here, we review the advances in targeting these extremely high-hanging fruits of structural biology in high-throughput mode. We observe that the experimental determination of high-resolution structures of integral membrane proteins is increasingly successful both in terms of getting structures and of covering important protein families, for example, from Pfam. Structural genomics has begun to contribute significantly toward this progress. An important component of this contribution is the set up of robotic pipelines that generate a wealth of experimental data for membrane proteins. We argue that prediction methods for the identification of membrane regions and for the comparison of membrane proteins largely suffice to meet the challenges of target selection for structural genomics of membrane proteins. In contrast, we need better methods to prioritize the most promising members in a family of closely related proteins and to annotate protein function from sequence and structure in absence of homology.
AB - Recent years have seen the establishment of structural genomics centers that explicitly target integral membrane proteins. Here, we review the advances in targeting these extremely high-hanging fruits of structural biology in high-throughput mode. We observe that the experimental determination of high-resolution structures of integral membrane proteins is increasingly successful both in terms of getting structures and of covering important protein families, for example, from Pfam. Structural genomics has begun to contribute significantly toward this progress. An important component of this contribution is the set up of robotic pipelines that generate a wealth of experimental data for membrane proteins. We argue that prediction methods for the identification of membrane regions and for the comparison of membrane proteins largely suffice to meet the challenges of target selection for structural genomics of membrane proteins. In contrast, we need better methods to prioritize the most promising members in a family of closely related proteins and to annotate protein function from sequence and structure in absence of homology.
UR - http://www.scopus.com/inward/record.url?scp=84862601592&partnerID=8YFLogxK
U2 - 10.1016/j.sbi.2012.05.002
DO - 10.1016/j.sbi.2012.05.002
M3 - Review article
C2 - 22622032
AN - SCOPUS:84862601592
SN - 0959-440X
VL - 22
SP - 326
EP - 332
JO - Current Opinion in Structural Biology
JF - Current Opinion in Structural Biology
IS - 3
ER -