Cotton leaf curl Burewala betasatellite

Taxonomy: Viruses; Tolecusatellitidae; Betasatellite; unclassified Betasatellite

Average proteome isoelectric point is 4.85

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 1 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|D3HTY4|D3HTY4_9VIRU Beta C1 OS=Cotton leaf curl Burewala betasatellite OX=713092 GN=beta C1 PE=4 SV=1
MM1 pKa = 6.54TTSGTNKK8 pKa = 9.31EE9 pKa = 4.16GVRR12 pKa = 11.84FIVDD16 pKa = 3.01VRR18 pKa = 11.84IMEE21 pKa = 3.95NMKK24 pKa = 10.18IFIHH28 pKa = 5.63MRR30 pKa = 11.84ILSTKK35 pKa = 9.42SPSLIKK41 pKa = 10.8YY42 pKa = 8.84EE43 pKa = 4.8GIVQYY48 pKa = 9.82TYY50 pKa = 11.58EE51 pKa = 5.23DD52 pKa = 2.88IHH54 pKa = 8.78VPFDD58 pKa = 3.91FNGFEE63 pKa = 4.26GSIIANFLFAYY74 pKa = 9.97NGAKK78 pKa = 9.52IEE80 pKa = 4.34EE81 pKa = 4.37IEE83 pKa = 4.54IEE85 pKa = 4.62DD86 pKa = 3.45IVHH89 pKa = 6.8RR90 pKa = 11.84LDD92 pKa = 4.06ILVLEE97 pKa = 4.49NPEE100 pKa = 4.0ILGMDD105 pKa = 3.96VIEE108 pKa = 4.71PYY110 pKa = 10.42IFNKK114 pKa = 10.0KK115 pKa = 7.85FTVV118 pKa = 3.26

Molecular weight:
13.68 kDa
Isoelectric point according different methods:






Protein with the highest isoelectric point:
>tr|D3HTY4|D3HTY4_9VIRU Beta C1 OS=Cotton leaf curl Burewala betasatellite OX=713092 GN=beta C1 PE=4 SV=1
MM1 pKa = 6.54TTSGTNKK8 pKa = 9.31EE9 pKa = 4.16GVRR12 pKa = 11.84FIVDD16 pKa = 3.01VRR18 pKa = 11.84IMEE21 pKa = 3.95NMKK24 pKa = 10.18IFIHH28 pKa = 5.63MRR30 pKa = 11.84ILSTKK35 pKa = 9.42SPSLIKK41 pKa = 10.8YY42 pKa = 8.84EE43 pKa = 4.8GIVQYY48 pKa = 9.82TYY50 pKa = 11.58EE51 pKa = 5.23DD52 pKa = 2.88IHH54 pKa = 8.78VPFDD58 pKa = 3.91FNGFEE63 pKa = 4.26GSIIANFLFAYY74 pKa = 9.97NGAKK78 pKa = 9.52IEE80 pKa = 4.34EE81 pKa = 4.37IEE83 pKa = 4.54IEE85 pKa = 4.62DD86 pKa = 3.45IVHH89 pKa = 6.8RR90 pKa = 11.84LDD92 pKa = 4.06ILVLEE97 pKa = 4.49NPEE100 pKa = 4.0ILGMDD105 pKa = 3.96VIEE108 pKa = 4.71PYY110 pKa = 10.42IFNKK114 pKa = 10.0KK115 pKa = 7.85FTVV118 pKa = 3.26

Molecular weight:
13.68 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

1

0

1

118

118

118

118.0

13.68

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

2.542 ± 0.0

0.0 ± 0.0

5.085 ± 0.0

10.169 ± 0.0

7.627 ± 0.0

5.932 ± 0.0

2.542 ± 0.0

15.254 ± 0.0

5.932 ± 0.0

5.932 ± 0.0

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

4.237 ± 0.0

5.932 ± 0.0

3.39 ± 0.0

0.847 ± 0.0

3.39 ± 0.0

4.237 ± 0.0

5.085 ± 0.0

7.627 ± 0.0

0.0 ± 0.0

4.237 ± 0.0

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