Human papillomavirus 33

Taxonomy: Viruses; Monodnaviria; Shotokuvirae; Cossaviricota; Papovaviricetes; Zurhausenvirales; Papillomaviridae; Firstpapillomavirinae; Alphapapillomavirus; Alphapapillomavirus 9

Average proteome isoelectric point is 6.58

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 9 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|P0DKA2|VE8E2_HPV33 Protein E8^E2C OS=Human papillomavirus 33 OX=10586 PE=3 SV=1
MM1 pKa = 7.84RR2 pKa = 11.84GHH4 pKa = 7.0KK5 pKa = 7.96PTLKK9 pKa = 10.44EE10 pKa = 4.01YY11 pKa = 11.2VLDD14 pKa = 5.03LYY16 pKa = 10.52PEE18 pKa = 4.38PTDD21 pKa = 3.89LYY23 pKa = 10.89CYY25 pKa = 9.2EE26 pKa = 4.13QLSDD30 pKa = 5.23SSDD33 pKa = 3.36EE34 pKa = 5.0DD35 pKa = 3.56EE36 pKa = 5.54GLDD39 pKa = 4.52RR40 pKa = 11.84PDD42 pKa = 3.87GQAQPATADD51 pKa = 3.68YY52 pKa = 11.08YY53 pKa = 10.47IVTCCHH59 pKa = 6.12TCNTTVRR66 pKa = 11.84LCVNSTASDD75 pKa = 3.4LRR77 pKa = 11.84TIQQLLMGTVNIVCPTCAQQQ97 pKa = 4.13

Molecular weight: 10.84 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>sp|P0DKA2|VE8E2_HPV33 Protein E8^E2C OS=Human papillomavirus 33 OX=10586 PE=3 SV=1
MM1 pKa = 8.0AILKK5 pKa = 8.84WKK7 pKa = 10.27LSSNQISTTEE17 pKa = 3.88TADD20 pKa = 3.24IQTDD24 pKa = 3.3NDD26 pKa = 3.43NRR28 pKa = 11.84PPQAAAKK35 pKa = 9.58RR36 pKa = 11.84RR37 pKa = 11.84RR38 pKa = 11.84PADD41 pKa = 3.56TTDD44 pKa = 2.94TAQPLTKK51 pKa = 10.3LFCADD56 pKa = 3.59PALDD60 pKa = 3.4NRR62 pKa = 11.84TARR65 pKa = 11.84TATNCTNKK73 pKa = 9.45QRR75 pKa = 11.84TVCSSNVAPIVHH87 pKa = 6.88LKK89 pKa = 10.96GEE91 pKa = 4.46SNSLKK96 pKa = 10.06CLRR99 pKa = 11.84YY100 pKa = 9.07RR101 pKa = 11.84LKK103 pKa = 10.31PYY105 pKa = 10.44KK106 pKa = 9.76EE107 pKa = 5.12LYY109 pKa = 10.72SSMSSTWHH117 pKa = 4.68WTSDD121 pKa = 3.17NKK123 pKa = 10.63NSKK126 pKa = 10.28NGIVTVTFVTEE137 pKa = 3.9QQQQMFLGTVKK148 pKa = 10.32IPPTVQISTGFMTLL162 pKa = 3.21

Molecular weight: 18.13 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

9

0

9

2526

75

644

280.7

31.53

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

5.661 ± 0.266

3.048 ± 0.698

5.978 ± 0.545

4.869 ± 0.787

4.236 ± 0.614

4.869 ± 0.673

2.059 ± 0.353

5.344 ± 0.556

5.661 ± 0.828

8.472 ± 1.009

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.059 ± 0.336

4.473 ± 0.748

6.097 ± 1.354

4.83 ± 0.605

4.553 ± 0.48

8.116 ± 0.845

8.789 ± 0.98

6.017 ± 0.498

1.346 ± 0.331

3.523 ± 0.303
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