Structure-based functional annotation of protein sequences guided by comparative models
A strategy for functionally annotating protein sequences using sequence and predicted structural information is proposed. First, structural models are built using standard, web-based tools. The models are then annotated using the sequence and structure-based annotation method SeSAW, and the structure based ligand binding site alignment method GIRAF. Annotations for several sequences (ATPase-like domains 1 and 2 from mouse RIG-Ⅰ, the TIR domain from mouse Toll-like receptor 9, and alternative oxidase from Blastocystis) are made and compared with known functional information. We find that the annotations in general make functional sense and provide more specific information than would be available from a purely sequence-based approach.
Daron.M.Standley Akira R.Kinjo Miesko Lis Mark van der Giezen Haruki Nakamura
Systems Immunology Laboratory, Immunology Frontier Research Center, Osaka University, 3-2 Yamadaoka, Research Center of Structural and Functional Proteomics, Institute for Protein Research, Osaka Unive MIT Computer Science and Artificial Intelligence Laboratory, 32 Vassar Street, Cambridge, MA 02139, Centre for Eukaryotic Evolutionary Microbiology, School of Bioscienees, University of Exeter, Stocke
国际会议
The Second International Symposium(OSB08)(第二届国际优化及系统生物学学术会议)
云南丽江
英文
395-403
2008-10-31（万方平台首次上网日期，不代表论文的发表时间）