Gokushovirus MK-2017

Taxonomy: Viruses; Monodnaviria; Sangervirae; Phixviricota; Malgrandaviricetes; Petitvirales; Microviridae; Gokushovirinae; unclassified Gokushovirinae

Average proteome isoelectric point is 6.1

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 5 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|A0A2L0WUY7|A0A2L0WUY7_9VIRU VP5 OS=Gokushovirus MK-2017 OX=2073143 PE=4 SV=1
MM1 pKa = 7.41SKK3 pKa = 10.85EE4 pKa = 3.96NFDD7 pKa = 4.39ALVTRR12 pKa = 11.84WNTMYY17 pKa = 10.74DD18 pKa = 2.96PHH20 pKa = 7.3EE21 pKa = 4.19RR22 pKa = 11.84VFSNVGSPDD31 pKa = 2.96KK32 pKa = 10.57TLYY35 pKa = 8.28QAKK38 pKa = 9.72VDD40 pKa = 4.2SNGTLDD46 pKa = 3.71LVEE49 pKa = 5.01NGTEE53 pKa = 3.89SLYY56 pKa = 10.94DD57 pKa = 3.59YY58 pKa = 10.45IQSFKK63 pKa = 11.0DD64 pKa = 3.19SCDD67 pKa = 2.95INLIIQRR74 pKa = 11.84YY75 pKa = 8.6ASGDD79 pKa = 3.24VDD81 pKa = 3.91VLSKK85 pKa = 10.9RR86 pKa = 11.84QGAYY90 pKa = 8.85IDD92 pKa = 4.47SVGLPTSYY100 pKa = 11.66AEE102 pKa = 4.18MLDD105 pKa = 3.49TVIAGRR111 pKa = 11.84EE112 pKa = 4.24VFDD115 pKa = 4.19SLPVEE120 pKa = 4.24IKK122 pKa = 10.84ARR124 pKa = 11.84FDD126 pKa = 3.56YY127 pKa = 11.23SFEE130 pKa = 3.99RR131 pKa = 11.84WMSTMDD137 pKa = 2.98NWSEE141 pKa = 3.89FTDD144 pKa = 3.67LMGVNSDD151 pKa = 3.78PVSGSGEE158 pKa = 4.01QPPVADD164 pKa = 5.24AGHH167 pKa = 7.23ADD169 pKa = 3.98NNQSPSPEE177 pKa = 3.36GVIANEE183 pKa = 4.15HH184 pKa = 5.8

Molecular weight: 20.47 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|A0A2L0WUZ1|A0A2L0WUZ1_9VIRU Uncharacterized protein OS=Gokushovirus MK-2017 OX=2073143 PE=4 SV=1
MM1 pKa = 7.46SRR3 pKa = 11.84RR4 pKa = 11.84SMPKK8 pKa = 9.47RR9 pKa = 11.84RR10 pKa = 11.84DD11 pKa = 3.28SKK13 pKa = 9.91VFRR16 pKa = 11.84RR17 pKa = 11.84TAVRR21 pKa = 11.84SKK23 pKa = 10.52KK24 pKa = 10.36ININPTIYY32 pKa = 10.32RR33 pKa = 11.84GGIRR37 pKa = 11.84LL38 pKa = 3.46

Molecular weight: 4.55 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

5

0

5

1186

38

564

237.2

26.88

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

6.745 ± 0.334

1.349 ± 0.386

6.914 ± 0.912

5.312 ± 0.694

4.722 ± 0.365

6.745 ± 0.512

2.108 ± 0.194

4.637 ± 0.421

4.722 ± 0.745

7.42 ± 0.782

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.361 ± 0.429

4.89 ± 0.255

5.228 ± 0.364

4.3 ± 0.468

5.734 ± 1.353

7.504 ± 1.18

5.987 ± 0.748

6.408 ± 0.951

1.771 ± 0.206

5.143 ± 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