Gentian ovary ringspot virus

Taxonomy: Viruses; Riboviria; Orthornavirae; Kitrinoviricota; Alsuviricetes; Martellivirales; Virgaviridae; Goravirus

Average proteome isoelectric point is 6.49

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|A0A077JIF7|A0A077JIF7_9VIRU Putative triple gene block 2 OS=Gentian ovary ringspot virus OX=1920772 GN=TGB2 PE=4 SV=1
MM1 pKa = 7.35EE2 pKa = 5.42APAIEE7 pKa = 4.66HH8 pKa = 6.47PQDD11 pKa = 4.05CSCSFCAPPVAYY23 pKa = 9.67GYY25 pKa = 8.13TSRR28 pKa = 11.84RR29 pKa = 11.84RR30 pKa = 11.84NYY32 pKa = 10.31PNAQTVALGDD42 pKa = 3.57ASLEE46 pKa = 3.98GVVFKK51 pKa = 10.53TCLLLAIFIFTFGFYY66 pKa = 10.88SFFFAGDD73 pKa = 3.51STEE76 pKa = 4.21LNNKK80 pKa = 8.49GVSIYY85 pKa = 10.7YY86 pKa = 9.63QDD88 pKa = 4.05LNMVEE93 pKa = 3.78IRR95 pKa = 11.84QYY97 pKa = 10.09PGNEE101 pKa = 3.5ISPEE105 pKa = 4.35LIRR108 pKa = 11.84QIHH111 pKa = 6.3HH112 pKa = 4.77FQKK115 pKa = 10.66RR116 pKa = 11.84PFGLPSDD123 pKa = 4.09SLFDD127 pKa = 3.52AWCPDD132 pKa = 3.0VMEE135 pKa = 4.35FAIFILGLVLIFLIMRR151 pKa = 11.84TCC153 pKa = 3.5

Molecular weight: 17.36 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|A0A077JM42|A0A077JM42_9VIRU Putative RNA-dependent RNA polymerase OS=Gentian ovary ringspot virus OX=1920772 GN=RdRp PE=4 SV=1
MM1 pKa = 7.34PKK3 pKa = 10.1EE4 pKa = 3.78VATRR8 pKa = 11.84PNKK11 pKa = 9.72AWPVVIGIAIVGLFLYY27 pKa = 10.52LGSTHH32 pKa = 6.01QKK34 pKa = 10.01HH35 pKa = 5.47ATSSGDD41 pKa = 3.71NIHH44 pKa = 6.63KK45 pKa = 10.1FSNGGTYY52 pKa = 9.76RR53 pKa = 11.84DD54 pKa = 3.79GTKK57 pKa = 10.4SISYY61 pKa = 9.92NKK63 pKa = 9.98NNNRR67 pKa = 11.84AYY69 pKa = 10.99NNGSSGDD76 pKa = 3.57RR77 pKa = 11.84TSAGLLLLLLCTTCCVWIHH96 pKa = 5.69FQAKK100 pKa = 9.59KK101 pKa = 10.56LSEE104 pKa = 4.4CSDD107 pKa = 3.56GCIGRR112 pKa = 11.84CLVGGRR118 pKa = 11.84CVV120 pKa = 2.99

Molecular weight: 12.94 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

2783

120

1194

397.6

45.08

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

5.57 ± 0.425

2.515 ± 0.357

6.863 ± 0.426

6.144 ± 0.529

4.563 ± 0.51

5.857 ± 0.602

1.617 ± 0.266

5.354 ± 0.34

7.833 ± 0.758

8.947 ± 0.495

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.623 ± 0.463

4.995 ± 0.415

3.521 ± 0.309

3.27 ± 0.231

5.498 ± 0.274

7.33 ± 0.232

5.785 ± 0.628

7.007 ± 0.449

1.114 ± 0.19

3.593 ± 0.31
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