The Putative Secondary Structure of the putative coronavirus nsp11
 
1.氨基酸组成:(%)
%A: 6.3 %C: 4.4 %D: 6.3 %E: 3.4 %F: 5.7 %M: 2.5 %N: 5.5 %P: 4.7 %Q: 3.4 %R: 4.2
%G: 5.9 %H: 4.0 %I: 4.7 %K: 5.7 %L: 7.2 %S: 5.3 %T: 6.1 %V: 8.3 %W: 1.9 %Y: 4.5
 
2.Helix,Sheet等的预测结果:
方法:The PredictProtein server提交多肽序列.预测实现方法参见Rost B(1996)
结果:结果包括两个部分,Fig1为图象化以后的结果图,直接的预测结果请参看这里
Fig1.Helix,Strand预测结果
 
3.Motif预测:
方法:在prosit中通过序列比对,找到蛋白中可能含有的序列的motif.
结果:下表中列出了改序列中可能含有的motif.其中,数字表示motif的第一个氨基酸在整个序列中的位置,后面的字母表示氨基酸序列.
 
N-glycosylation site
Casein kinase II phosphorylation site
Protein kinase C phosphorylation site
3 NVTG
129 NNTE
228 NHSV
75 TREE
219 TSSD
255 SNHD
372 THHD
450 SPCE
461 SDID
50 TYR
173 TLK
178 SDR
194 SMK
357 SDK
N-myristoylation site cAMP- and cGMP-dependent protein kinase phosphorylation site
Tyrosine kinase phosphorylation site
17 GLHPTQ
93 GCHATR
156 GLPWNV
251 GNLQSN
333 GNPKAI
413 GCDGGS
480 GGAVCR
212 KRAT
362 KIEELFY
 
 
参考文献:
1.PHD: predicting one-dimensional protein structure by profile-based neural networks.
2.Prediction of protein secondary structure at better than 70% accuracy
3.Topology prediction for helical transmembrane proteins at 86% accuracy
4.The PROSITE database, its status in 1999.