Equus caballus papillomavirus 6

Taxonomy: Viruses; Monodnaviria; Shotokuvirae; Cossaviricota; Papovaviricetes; Zurhausenvirales; Papillomaviridae; Firstpapillomavirinae; Dyorhopapillomavirus; Dyorhopapillomavirus 1

Average proteome isoelectric point is 6.6

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|M4HXD4|M4HXD4_9PAPI Replication protein E1 OS=Equus caballus papillomavirus 6 OX=1235427 GN=E1 PE=3 SV=1
MM1 pKa = 7.47LRR3 pKa = 11.84ARR5 pKa = 11.84PRR7 pKa = 11.84NQNPEE12 pKa = 3.88EE13 pKa = 4.2SLSDD17 pKa = 3.8DD18 pKa = 4.0SGVEE22 pKa = 3.73ADD24 pKa = 3.58GSEE27 pKa = 4.32TEE29 pKa = 4.75EE30 pKa = 4.04EE31 pKa = 4.23QSPDD35 pKa = 3.11RR36 pKa = 11.84YY37 pKa = 9.47PYY39 pKa = 10.42RR40 pKa = 11.84VLTFCFYY47 pKa = 10.59CQLGVRR53 pKa = 11.84IVLVSTSSGIRR64 pKa = 11.84QINRR68 pKa = 11.84LLTDD72 pKa = 3.69SVAIVCPLCASARR85 pKa = 11.84GYY87 pKa = 10.38YY88 pKa = 10.14GSRR91 pKa = 3.37

Molecular weight: 10.17 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|M4HX85|M4HX85_9PAPI Protein E7 OS=Equus caballus papillomavirus 6 OX=1235427 PE=3 SV=1
HHH2 pKa = 7.16KKK4 pKa = 10.3KKK6 pKa = 10.23HH7 pKa = 6.03LPDDD11 pKa = 3.46PRR13 pKa = 11.84RR14 pKa = 11.84TPEEE18 pKa = 3.67LLTLAYYY25 pKa = 9.55KK26 pKa = 10.51ATKKK30 pKa = 8.49TGRR33 pKa = 11.84PDDD36 pKa = 4.46IYYY39 pKa = 10.73YY40 pKa = 9.73GRR42 pKa = 11.84LAPRR46 pKa = 11.84LLVSDDD52 pKa = 4.52YYY54 pKa = 11.37RR55 pKa = 11.84TSYYY59 pKa = 10.97EEE61 pKa = 3.68RR62 pKa = 11.84RR63 pKa = 11.84GIAEEE68 pKa = 4.11LTEEE72 pKa = 4.71SPLGAQGALPMSPIPGPYYY91 pKa = 8.93AGYYY95 pKa = 9.32EEE97 pKa = 5.67YYY99 pKa = 10.05PPAPCRR105 pKa = 11.84RR106 pKa = 11.84LYYY109 pKa = 10.22AHHH112 pKa = 7.69YYY114 pKa = 9.71HH115 pKa = 6.21RR116 pKa = 11.84QVYYY120 pKa = 9.81LYYY123 pKa = 10.08QYYY126 pKa = 9.33QDDD129 pKa = 4.83PAGPPVPPLQ

Molecular weight: 15.61 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

2423

91

617

346.1

38.78

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

6.768 ± 0.609

2.518 ± 0.709

5.695 ± 0.37

6.067 ± 0.246

3.797 ± 0.312

7.099 ± 1.1

1.981 ± 0.195

3.095 ± 0.423

4.333 ± 0.916

9.451 ± 0.675

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

1.403 ± 0.332

2.848 ± 0.41

7.511 ± 0.894

4.499 ± 0.503

7.305 ± 0.438

7.305 ± 0.449

6.397 ± 0.44

6.521 ± 0.774

1.733 ± 0.448

3.673 ± 0.584
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