Ageratum yellow vein China betasatellite

Taxonomy: Viruses; Tolecusatellitidae; Betasatellite

Average proteome isoelectric point is 4.98

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|Q4VZ15|Q4VZ15_9VIRU C1 protein OS=Ageratum yellow vein China betasatellite OX=329288 GN=c1 PE=4 SV=1
MM1 pKa = 7.36TISYY5 pKa = 9.77TNDD8 pKa = 2.67KK9 pKa = 11.11GMLFIINVKK18 pKa = 9.53FRR20 pKa = 11.84SEE22 pKa = 3.45IKK24 pKa = 10.2FRR26 pKa = 11.84VDD28 pKa = 3.07VEE30 pKa = 4.47VFSTKK35 pKa = 10.37SPALVKK41 pKa = 10.77NKK43 pKa = 9.63FSIPYY48 pKa = 7.92GHH50 pKa = 6.72NGIIPPFNFNALEE63 pKa = 3.99EE64 pKa = 4.84GIKK67 pKa = 10.57NILRR71 pKa = 11.84IMYY74 pKa = 9.36RR75 pKa = 11.84DD76 pKa = 3.43STIEE80 pKa = 3.91EE81 pKa = 4.39FKK83 pKa = 11.11SEE85 pKa = 4.11DD86 pKa = 3.35MVEE89 pKa = 4.58IIDD92 pKa = 4.9IMMQEE97 pKa = 4.37EE98 pKa = 4.71APVIDD103 pKa = 3.22IQVNDD108 pKa = 4.07EE109 pKa = 3.96YY110 pKa = 11.19HH111 pKa = 5.85VYY113 pKa = 11.12KK114 pKa = 10.85NVTVV118 pKa = 3.5

Molecular weight: 13.76 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|Q4VZ15|Q4VZ15_9VIRU C1 protein OS=Ageratum yellow vein China betasatellite OX=329288 GN=c1 PE=4 SV=1
MM1 pKa = 7.36TISYY5 pKa = 9.77TNDD8 pKa = 2.67KK9 pKa = 11.11GMLFIINVKK18 pKa = 9.53FRR20 pKa = 11.84SEE22 pKa = 3.45IKK24 pKa = 10.2FRR26 pKa = 11.84VDD28 pKa = 3.07VEE30 pKa = 4.47VFSTKK35 pKa = 10.37SPALVKK41 pKa = 10.77NKK43 pKa = 9.63FSIPYY48 pKa = 7.92GHH50 pKa = 6.72NGIIPPFNFNALEE63 pKa = 3.99EE64 pKa = 4.84GIKK67 pKa = 10.57NILRR71 pKa = 11.84IMYY74 pKa = 9.36RR75 pKa = 11.84DD76 pKa = 3.43STIEE80 pKa = 3.91EE81 pKa = 4.39FKK83 pKa = 11.11SEE85 pKa = 4.11DD86 pKa = 3.35MVEE89 pKa = 4.58IIDD92 pKa = 4.9IMMQEE97 pKa = 4.37EE98 pKa = 4.71APVIDD103 pKa = 3.22IQVNDD108 pKa = 4.07EE109 pKa = 3.96YY110 pKa = 11.19HH111 pKa = 5.85VYY113 pKa = 11.12KK114 pKa = 10.85NVTVV118 pKa = 3.5

Molecular weight: 13.76 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

13.76

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

2.542 ± 0.0

0.0 ± 0.0

5.932 ± 0.0

9.322 ± 0.0

6.78 ± 0.0

3.39 ± 0.0

1.695 ± 0.0

13.559 ± 0.0

7.627 ± 0.0

3.39 ± 0.0

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

5.085 ± 0.0

7.627 ± 0.0

4.237 ± 0.0

1.695 ± 0.0

3.39 ± 0.0

5.932 ± 0.0

4.237 ± 0.0

9.322 ± 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