Chayote yellow mosaic Benin betasatellite

Taxonomy: Viruses; Tolecusatellitidae; Betasatellite; Momordica yellow mosaic betasatellite

Average proteome isoelectric point is 5.67

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|A0A191KVK0|A0A191KVK0_9VIRU BC1 OS=Chayote yellow mosaic Benin betasatellite OX=1736759 PE=4 SV=1
MM1 pKa = 7.12TIKK4 pKa = 10.51YY5 pKa = 9.02KK6 pKa = 10.7NKK8 pKa = 9.45RR9 pKa = 11.84GVEE12 pKa = 4.06FTVDD16 pKa = 2.96VFIKK20 pKa = 10.12VGKK23 pKa = 9.07VEE25 pKa = 4.18CCIKK29 pKa = 9.95VTATKK34 pKa = 10.23DD35 pKa = 3.41AYY37 pKa = 11.1VSTSSFIIPYY47 pKa = 9.9GYY49 pKa = 10.75LEE51 pKa = 4.36VIIPFDD57 pKa = 4.01FNGTEE62 pKa = 3.94QEE64 pKa = 3.69ITNAIKK70 pKa = 10.53AVFHH74 pKa = 5.2TTKK77 pKa = 10.39HH78 pKa = 5.64RR79 pKa = 11.84DD80 pKa = 2.79IRR82 pKa = 11.84AEE84 pKa = 4.03EE85 pKa = 4.42LVDD88 pKa = 4.19AMDD91 pKa = 3.68IVMSEE96 pKa = 3.99NEE98 pKa = 4.37NLIGMQIIEE107 pKa = 4.24PHH109 pKa = 7.0RR110 pKa = 11.84ITSKK114 pKa = 9.9TSVV117 pKa = 2.93

Molecular weight: 13.28 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|A0A191KVK0|A0A191KVK0_9VIRU BC1 OS=Chayote yellow mosaic Benin betasatellite OX=1736759 PE=4 SV=1
MM1 pKa = 7.12TIKK4 pKa = 10.51YY5 pKa = 9.02KK6 pKa = 10.7NKK8 pKa = 9.45RR9 pKa = 11.84GVEE12 pKa = 4.06FTVDD16 pKa = 2.96VFIKK20 pKa = 10.12VGKK23 pKa = 9.07VEE25 pKa = 4.18CCIKK29 pKa = 9.95VTATKK34 pKa = 10.23DD35 pKa = 3.41AYY37 pKa = 11.1VSTSSFIIPYY47 pKa = 9.9GYY49 pKa = 10.75LEE51 pKa = 4.36VIIPFDD57 pKa = 4.01FNGTEE62 pKa = 3.94QEE64 pKa = 3.69ITNAIKK70 pKa = 10.53AVFHH74 pKa = 5.2TTKK77 pKa = 10.39HH78 pKa = 5.64RR79 pKa = 11.84DD80 pKa = 2.79IRR82 pKa = 11.84AEE84 pKa = 4.03EE85 pKa = 4.42LVDD88 pKa = 4.19AMDD91 pKa = 3.68IVMSEE96 pKa = 3.99NEE98 pKa = 4.37NLIGMQIIEE107 pKa = 4.24PHH109 pKa = 7.0RR110 pKa = 11.84ITSKK114 pKa = 9.9TSVV117 pKa = 2.93

Molecular weight: 13.28 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

117

117

117

117.0

13.28

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

5.128 ± 0.0

1.709 ± 0.0

5.128 ± 0.0

8.547 ± 0.0

5.128 ± 0.0

4.274 ± 0.0

2.564 ± 0.0

12.821 ± 0.0

8.547 ± 0.0

2.564 ± 0.0

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

3.419 ± 0.0

4.274 ± 0.0

2.564 ± 0.0

1.709 ± 0.0

3.419 ± 0.0

5.128 ± 0.0

9.402 ± 0.0

10.256 ± 0.0

0.0 ± 0.0

3.419 ± 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