Cocksfoot mild mosaic virus

Taxonomy: Viruses; Riboviria; Orthornavirae; Kitrinoviricota; Tolucaviricetes; Tolivirales; Tombusviridae; Procedovirinae; Panicovirus

Average proteome isoelectric point is 7.69

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 6 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|B4XRZ9|B4XRZ9_9TOMB Capsid protein OS=Cocksfoot mild mosaic virus OX=479060 PE=3 SV=1
MM1 pKa = 7.39ATGTCHH7 pKa = 7.14CPDD10 pKa = 4.22NPFVWPLVTVVLILLIIIVASVTSTGPVIIPPSHH44 pKa = 5.74NTTYY48 pKa = 10.55HH49 pKa = 5.51HH50 pKa = 6.79EE51 pKa = 4.23KK52 pKa = 8.99YY53 pKa = 10.68QNIEE57 pKa = 3.89VQKK60 pKa = 11.04

Molecular weight: 6.64 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|B4XS00|B4XS00_9TOMB p15 OS=Cocksfoot mild mosaic virus OX=479060 PE=4 SV=1
MM1 pKa = 7.57NGGNTSNRR9 pKa = 11.84RR10 pKa = 11.84GRR12 pKa = 11.84GKK14 pKa = 10.45ALQRR18 pKa = 11.84RR19 pKa = 11.84TNKK22 pKa = 9.62PPRR25 pKa = 11.84SRR27 pKa = 11.84SIEE30 pKa = 3.79RR31 pKa = 11.84ARR33 pKa = 11.84PLAYY37 pKa = 9.78GQAVGPSPPRR47 pKa = 11.84TVAYY51 pKa = 10.26RR52 pKa = 11.84RR53 pKa = 11.84GRR55 pKa = 11.84QVNTQPEE62 pKa = 4.34IILRR66 pKa = 11.84ITAKK70 pKa = 8.32TTDD73 pKa = 3.36NYY75 pKa = 8.13TTVPIIPALLFDD87 pKa = 5.41PSTQPGYY94 pKa = 10.75GGRR97 pKa = 11.84AQYY100 pKa = 9.47MAGLSQLHH108 pKa = 6.03SQHH111 pKa = 4.99EE112 pKa = 4.18WRR114 pKa = 11.84RR115 pKa = 11.84LQFTWIPSCATVTPGNVVLKK135 pKa = 8.03FFPNYY140 pKa = 7.63RR141 pKa = 11.84TPLPTVLEE149 pKa = 4.41DD150 pKa = 5.3LMDD153 pKa = 3.98TSSLTFSPYY162 pKa = 9.96EE163 pKa = 3.61KK164 pKa = 9.45HH165 pKa = 5.56TFSVAGRR172 pKa = 11.84ISGLKK177 pKa = 9.45YY178 pKa = 10.78NIGATAFLALSDD190 pKa = 4.23EE191 pKa = 4.6DD192 pKa = 3.99KK193 pKa = 11.37GDD195 pKa = 3.64YY196 pKa = 10.75SIGRR200 pKa = 11.84LVIGTTSQVSAVSLGIIQMVPDD222 pKa = 3.94VEE224 pKa = 4.58FSGPVTTPVAPTPAATAAAPAA245 pKa = 4.11

Molecular weight: 26.57 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

6

0

6

1805

60

934

300.8

33.78

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

9.418 ± 1.145

1.994 ± 0.394

4.986 ± 0.522

4.654 ± 0.598

4.155 ± 0.483

5.817 ± 0.506

2.604 ± 0.489

4.598 ± 0.538

5.152 ± 1.04

9.197 ± 0.864

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.438 ± 0.237

3.546 ± 0.337

5.706 ± 1.097

3.934 ± 0.35

7.147 ± 0.5

7.036 ± 0.588

6.26 ± 1.19

5.873 ± 0.501

1.662 ± 0.368

3.767 ± 0.415
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