TOPSAN: a collaborative annotation environment for structural genomics.
BACKGROUND
Many protein structures determined in high-throughput structural genomics centers, despite their significant novelty and importance, are available only as PDB depositions and are not accompanied by a peer-reviewed manuscript. Because of this they are not accessible by the standard tools of literature searches, remaining underutilized by the broad biological community.


RESULTS
To address this issue we have developed TOPSAN, The Open Protein Structure Annotation Network, a web-based platform that combines the openness of the wiki model with the quality control of scientific communication. TOPSAN enables research collaborations and scientific dialogue among globally distributed participants, the results of which are reviewed by experts and eventually validated by peer review. The immediate goal of TOPSAN is to harness the combined experience, knowledge, and data from such collaborations in order to enhance the impact of the astonishing number and diversity of structures being determined by structural genomics centers and high-throughput structural biology.


CONCLUSIONS
TOPSAN combines features of automated annotation databases and formal, peer-reviewed scientific research literature, providing an ideal vehicle to bridge a gap between rapidly accumulating data from high-throughput technologies and a much slower pace for its analysis and integration with other, relevant research.
Weekes
Dana
D
Joint Center for Structural Genomics, Bioinformatics Core, Sanford-Burnham Medical Research Institute, La Jolla, CA 92037, USA.
Krishna
S Sri
SS
Bakolitsa
Constantina
C
Wilson
Ian A
IA
Godzik
Adam
A
Wooley
John
J
D019295:Computational Biology / Q000379:methods; D003299:Cooperative Behavior; D030541:Databases, Genetic; D023281:Genomics / Q000379:methods*; D020407:Internet; D046228:Microarray Analysis; D011506:Proteins / Q000737:chemistry* / Q000235:genetics
D011506:Proteins