Gammapapillomavirus 10

Taxonomy: Viruses; Monodnaviria; Shotokuvirae; Cossaviricota; Papovaviricetes; Zurhausenvirales; Papillomaviridae; Firstpapillomavirinae; Gammapapillomavirus

Average proteome isoelectric point is 5.94

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 7 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:
>tr|A0A2D2ALJ8|A0A2D2ALJ8_9PAPI Minor capsid protein L2 OS=Gammapapillomavirus 10 OX=1175852 GN=L2 PE=3 SV=1
MM1 pKa = 7.71IGPEE5 pKa = 4.02NKK7 pKa = 9.96VGDD10 pKa = 4.02IEE12 pKa = 4.36LQLDD16 pKa = 4.36EE17 pKa = 5.7LVMPANLLSDD27 pKa = 4.02EE28 pKa = 4.26VLSPNEE34 pKa = 4.07DD35 pKa = 3.45EE36 pKa = 4.88EE37 pKa = 4.52EE38 pKa = 4.58VEE40 pKa = 4.33FVPYY44 pKa = 10.26RR45 pKa = 11.84VDD47 pKa = 3.73SSCSVCKK54 pKa = 10.4ALIRR58 pKa = 11.84FHH60 pKa = 6.08VTASDD65 pKa = 3.16QGIRR69 pKa = 11.84GLQQLLLSEE78 pKa = 4.64LSFVCLTCSRR88 pKa = 11.84ATCRR92 pKa = 11.84RR93 pKa = 11.84QNGRR97 pKa = 11.84QQ98 pKa = 3.14

Molecular weight: 10.96 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|A0A2D2ALM0|A0A2D2ALM0_9PAPI Protein E6 OS=Gammapapillomavirus 10 OX=1175852 GN=E6 PE=3 SV=1
MM1 pKa = 8.11DD2 pKa = 5.28CLEE5 pKa = 4.39SPFPEE10 pKa = 4.37TLSSYY15 pKa = 11.24CEE17 pKa = 3.93LFGLSLSEE25 pKa = 4.82VKK27 pKa = 10.68LPCNFCKK34 pKa = 10.37FYY36 pKa = 11.24LNEE39 pKa = 3.58QDD41 pKa = 4.55LAAFHH46 pKa = 6.91LKK48 pKa = 9.21QFKK51 pKa = 10.44LIWKK55 pKa = 8.43GPWCYY60 pKa = 10.77ACCRR64 pKa = 11.84SCTRR68 pKa = 11.84LSAAFEE74 pKa = 4.08LRR76 pKa = 11.84TFYY79 pKa = 10.74QCSCKK84 pKa = 9.37CTAVEE89 pKa = 5.04GLAKK93 pKa = 10.02TNLVCIPMRR102 pKa = 11.84CLLCLALLSYY112 pKa = 10.96AEE114 pKa = 4.46KK115 pKa = 10.83LEE117 pKa = 4.03HH118 pKa = 7.05LNIEE122 pKa = 4.0EE123 pKa = 4.46DD124 pKa = 3.91FVLVRR129 pKa = 11.84SSWKK133 pKa = 10.1GYY135 pKa = 9.6CRR137 pKa = 11.84NCIKK141 pKa = 10.73KK142 pKa = 9.87II143 pKa = 3.55

Molecular weight: 16.5 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

7

0

7

2417

98

609

345.3

38.95

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

5.544 ± 0.349

2.234 ± 1.024

6.454 ± 0.396

6.578 ± 0.565

4.22 ± 0.368

5.792 ± 0.648

1.986 ± 0.281

4.468 ± 0.617

5.834 ± 0.866

10.137 ± 1.011

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

1.572 ± 0.408

4.592 ± 0.606

6.041 ± 1.136

4.22 ± 0.343

5.379 ± 0.673

7.695 ± 0.618

6.372 ± 0.863

5.999 ± 0.575

1.365 ± 0.319

3.517 ± 0.625
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