Influenza A virus (strain A/Goose/Guangdong/1/1996 H5N1 genotype Gs/Gd)

Taxonomy: Viruses; Riboviria; Orthornavirae; Negarnaviricota; Polyploviricotina; Insthoviricetes; Articulavirales; Orthomyxoviridae; Alphainfluenzavirus; Influenza A virus; H5N1 subtype

Average proteome isoelectric point is 7.16

Get precalculated fractions of proteins

Acidic
pI < 6.8
6.8-7.4
pI > 7.4
Basic
    
All



Virtual 2D-PAGE plot for 13 proteins (isoelectric point calculated using IPC2_protein)

Get csv file with sequences according to given criteria:
        -     Method 

     -  kDa    
                                                                                      

* You can choose from 21 different methods for calculating isoelectric point

Summary statistics related to proteome-wise predictions


    
Protein with the lowest isoelectric point:
>sp|Q9Q0U6|HEMA_I96A0 Hemagglutinin OS=Influenza A virus (strain A/Goose/Guangdong/1/1996 H5N1 genotype Gs/Gd) OX=93838 GN=HA PE=1 SV=1
MM1 pKa = 7.38SLLTEE6 pKa = 4.38VEE8 pKa = 4.51TPTKK12 pKa = 10.86NEE14 pKa = 4.05WEE16 pKa = 4.74CKK18 pKa = 10.2CSDD21 pKa = 3.43SSDD24 pKa = 3.88PLVVAASIIGILHH37 pKa = 7.1LILWILDD44 pKa = 3.39RR45 pKa = 11.84LFFKK49 pKa = 10.78CIYY52 pKa = 9.95RR53 pKa = 11.84RR54 pKa = 11.84LKK56 pKa = 10.55YY57 pKa = 10.03GLKK60 pKa = 10.09RR61 pKa = 11.84GPSTEE66 pKa = 4.02GVPEE70 pKa = 4.24SMRR73 pKa = 11.84EE74 pKa = 3.92EE75 pKa = 4.1YY76 pKa = 10.41RR77 pKa = 11.84QEE79 pKa = 3.74QQSAVDD85 pKa = 3.3VDD87 pKa = 4.47DD88 pKa = 3.92GHH90 pKa = 6.42FVNIEE95 pKa = 3.83LEE97 pKa = 4.08

Molecular weight: 11.19 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>sp|P0CK63|PAX_I96A0 Protein PA-X OS=Influenza A virus (strain A/Goose/Guangdong/1/1996 H5N1 genotype Gs/Gd) OX=93838 GN=PA PE=3 SV=1
MM1 pKa = 7.21EE2 pKa = 4.72QEE4 pKa = 4.77QDD6 pKa = 3.96TPWTQSTEE14 pKa = 4.0HH15 pKa = 7.17INIQKK20 pKa = 10.15RR21 pKa = 11.84GNGQRR26 pKa = 11.84TQRR29 pKa = 11.84LEE31 pKa = 3.98HH32 pKa = 6.71PNSIRR37 pKa = 11.84LMDD40 pKa = 4.08HH41 pKa = 6.18YY42 pKa = 10.81LRR44 pKa = 11.84IMSRR48 pKa = 11.84VGMHH52 pKa = 5.68KK53 pKa = 10.41QIVYY57 pKa = 8.28WKK59 pKa = 9.81QWLSLKK65 pKa = 10.75NPTQGSLKK73 pKa = 9.77TRR75 pKa = 11.84VLKK78 pKa = 10.35RR79 pKa = 11.84WKK81 pKa = 10.36LFSKK85 pKa = 9.9QEE87 pKa = 4.15WISS90 pKa = 3.32

Molecular weight: 11.0 kDa
Isoelectric point according different methods:





Peptides (in silico digests for buttom-up proteomics)

Below you can find in silico digests of the whole proteome with Trypsin, Chymotrypsin, Trypsin+LysC, LysN, ArgC proteases suitable for different mass spec machines.

Try
ESI
ChTry
ESI
ArgC
ESI
LysN
ESI
TryLysC
ESI

Try
MALDI
ChTry
MALDI
ArgC
MALDI
LysN
MALDI
TryLysC
MALDI

Try
LTQ
ChTry
LTQ
ArgC
LTQ
LysN
LTQ
TryLysC
LTQ

Try
MSlow
ChTry
MSlow
ArgC
MSlow
LysN
MSlow
TryLysC
MSlow

Try
MShigh
ChTry
MShigh
ArgC
MShigh
LysN
MShigh
TryLysC
MShigh

General Statistics

Number of major isoforms

Number of additional isoforms

Number of all proteins

Number of amino acids

Min. Seq. Length

Max. Seq. Length

Avg. Seq. Length

Avg. Mol. Weight

13

0

13

5317

90

759

409.0

46.48

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

5.868 ± 0.403

1.749 ± 0.347

4.551 ± 0.2

7.542 ± 0.545

3.818 ± 0.237

6.338 ± 0.452

1.824 ± 0.194

6.545 ± 0.259

5.981 ± 0.515

7.805 ± 0.463

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

4.119 ± 0.412

5.229 ± 0.504

3.931 ± 0.221

3.987 ± 0.406

6.865 ± 0.68

7.485 ± 0.438

6.319 ± 0.37

5.736 ± 0.505

1.617 ± 0.208

2.689 ± 0.255
Note: For amino acid frequency statistics the error has been estimated with the bootstraping (x100) at the protein level

Most of the basic statistics you can see at this page can be downloaded from this CSV file

For dipeptide frequency statistics click here
See this proteome in: uniprot_link
Proteome-pI is available under Creative Commons Attribution-NoDerivs license, for more details see here

Reference: Kozlowski LP. Proteome-pI 2.0: Proteome Isoelectric Point Database Update. Nucleic Acids Res. 2021, doi: 10.1093/nar/gkab944 Contact: Lukasz P. Kozlowski