The Putative Secondary Structure of the putative coronavirus nsp9
 
1.氨基酸组成:(%)
%A: 7.4 %C: 3.3 %D: 7.8 %E: 3.6 %F: 5.9 %M: 2.9 %N: 6.0 %P: 3.2 %Q: 2.9 %R: 4.6
%G: 4.9 %H: 3.0 %I: 3.4 %K: 5.3 %L: 9.0 %S: 5.4 %T: 5.9 %V: 8.2 %W: 1.0 %Y: 6.2
 
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
647 NLSH
911 NTSR

26 TSTD
123 TMAD
141 TLKE
255 SHMD
367 SFKE
433 SSVE
451 SDYD
462 TMCD
520 SYED
607 SDVE
681 SSGD
801 TETD
141 TLK
363 SSR
367 SFK
409 TVK
531 TKR
549 SAK
567 TNR
591 TSK
649 SHR
778 SIK
912 TSR
N-myristoylation site cAMP- and cGMP-dependent protein kinase phosphorylation site
Tyrosine kinase phosphorylation site
13 GVSAAR
23 GTGTST
137 GNCDTL
352 GVVHNQ
485 GGCINA
559 GVSICS
596 GGWHNM
678 GGTSSG
712 GNKIAD
774 GLVASI
73 KRHT
391 KRTT
288 KYWDQTY
513 RLYYDSMSY
726 RLYECLY
821 KQGDDYVY
914 RYWEPEFY

Lipocalin signature  

590 GTSKFYGGWHNM  
 
 
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.