Human papillomavirus 136

Taxonomy: Viruses; Monodnaviria; Shotokuvirae; Cossaviricota; Papovaviricetes; Zurhausenvirales; Papillomaviridae; Firstpapillomavirinae; Gammapapillomavirus; Gammapapillomavirus 11

Average proteome isoelectric point is 6.27

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|I3P6L2|I3P6L2_9PAPI Replication protein E1 OS=Human papillomavirus 136 OX=1070409 GN=E1 PE=3 SV=1
MM1 pKa = 7.43MGLQPTIQDD10 pKa = 3.17IEE12 pKa = 4.21LQEE15 pKa = 4.2TLEE18 pKa = 4.05NLVMPSALLCEE29 pKa = 4.83EE30 pKa = 4.56SLSPDD35 pKa = 3.34DD36 pKa = 4.0TPEE39 pKa = 4.08EE40 pKa = 4.39EE41 pKa = 4.46SLSPYY46 pKa = 9.56WVDD49 pKa = 3.56CRR51 pKa = 11.84CYY53 pKa = 10.79SCDD56 pKa = 3.35NLVRR60 pKa = 11.84LCVAATTGAIHH71 pKa = 7.6LLQQLLFNDD80 pKa = 4.62LSLLCPVCSRR90 pKa = 11.84ITVRR94 pKa = 11.84HH95 pKa = 5.6GRR97 pKa = 11.84HH98 pKa = 5.11

Molecular weight: 11.0 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|I3P6L1|I3P6L1_9PAPI Protein E7 OS=Human papillomavirus 136 OX=1070409 GN=E7 PE=3 SV=1
MM1 pKa = 7.49EE2 pKa = 5.6AAQFPTCLRR11 pKa = 11.84TYY13 pKa = 10.65CNVFNISLFDD23 pKa = 3.7LQLRR27 pKa = 11.84CIFCRR32 pKa = 11.84CYY34 pKa = 10.89LSLGDD39 pKa = 4.23LASFYY44 pKa = 10.73EE45 pKa = 4.55KK46 pKa = 10.51KK47 pKa = 10.81LSLIWKK53 pKa = 9.43NNICFACCLRR63 pKa = 11.84CLCLSARR70 pKa = 11.84YY71 pKa = 8.19EE72 pKa = 4.02AEE74 pKa = 4.77HH75 pKa = 6.68YY76 pKa = 7.48FQCVCKK82 pKa = 10.45VQSLHH87 pKa = 6.91ALLNRR92 pKa = 11.84PLNDD96 pKa = 2.86VVMRR100 pKa = 11.84CYY102 pKa = 10.78YY103 pKa = 10.41CYY105 pKa = 11.01NLLDD109 pKa = 4.28LASKK113 pKa = 10.85YY114 pKa = 11.06DD115 pKa = 4.24LISRR119 pKa = 11.84DD120 pKa = 3.3KK121 pKa = 10.71LACLVRR127 pKa = 11.84GHH129 pKa = 5.98WRR131 pKa = 11.84APCRR135 pKa = 11.84DD136 pKa = 3.6CLNRR140 pKa = 11.84EE141 pKa = 3.78II142 pKa = 5.23

Molecular weight: 16.73 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

2408

98

603

344.0

39.08

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

5.606 ± 0.423

2.616 ± 1.042

6.603 ± 0.599

6.229 ± 0.558

4.61 ± 0.67

4.859 ± 0.726

1.91 ± 0.161

5.233 ± 0.69

5.357 ± 0.849

10.008 ± 1.275

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

1.537 ± 0.319

5.15 ± 0.283

6.395 ± 1.085

4.776 ± 0.474

5.98 ± 0.625

7.143 ± 0.436

5.523 ± 0.542

5.897 ± 0.511

1.204 ± 0.221

3.364 ± 0.35
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