Mycobacterium virus Goose

Taxonomy: Viruses; Duplodnaviria; Heunggongvirae; Uroviricota; Caudoviricetes; Caudovirales; Siphoviridae; Fromanvirus

Average proteome isoelectric point is 6.16

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 86 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|K0GAD7|K0GAD7_9CAUD Portal protein OS=Mycobacterium virus Goose OX=1211282 GN=12 PE=4 SV=1
MM1 pKa = 7.31NPDD4 pKa = 4.31DD5 pKa = 3.6YY6 pKa = 11.31TFAIRR11 pKa = 11.84YY12 pKa = 7.46EE13 pKa = 4.45GQQEE17 pKa = 3.97PDD19 pKa = 3.96GPWVEE24 pKa = 4.48MVAIQNDD31 pKa = 3.7LAMAQAVWNDD41 pKa = 3.17MAPYY45 pKa = 9.97LEE47 pKa = 4.92AMPNVRR53 pKa = 11.84NAGIVFTPKK62 pKa = 10.23INWQPYY68 pKa = 7.36TGG70 pKa = 3.72

Molecular weight:
7.99 kDa
Isoelectric point according different methods:






Protein with the highest isoelectric point:
>tr|K0G8E0|K0G8E0_9CAUD Uncharacterized protein OS=Mycobacterium virus Goose OX=1211282 GN=86 PE=4 SV=1
MM1 pKa = 6.51TTATMTRR8 pKa = 11.84TMTLTQARR16 pKa = 11.84EE17 pKa = 4.03VTQDD21 pKa = 3.39LLHH24 pKa = 5.74EE25 pKa = 5.29HH26 pKa = 6.47GLKK29 pKa = 10.39GWTVRR34 pKa = 11.84FDD36 pKa = 3.42NARR39 pKa = 11.84RR40 pKa = 11.84RR41 pKa = 11.84AGQCNYY47 pKa = 9.3RR48 pKa = 11.84DD49 pKa = 3.57RR50 pKa = 11.84VISLSRR56 pKa = 11.84PLMALRR62 pKa = 11.84SAEE65 pKa = 4.1DD66 pKa = 3.37TMQTITHH73 pKa = 7.22EE74 pKa = 4.05IAHH77 pKa = 6.83AIVGHH82 pKa = 5.11GHH84 pKa = 6.02GHH86 pKa = 5.35DD87 pKa = 3.52QVWARR92 pKa = 11.84KK93 pKa = 8.88HH94 pKa = 6.47RR95 pKa = 11.84EE96 pKa = 3.5LGGNGKK102 pKa = 9.5RR103 pKa = 11.84CFEE106 pKa = 4.46MEE108 pKa = 5.32AIDD111 pKa = 4.64PTAPWVGTCDD121 pKa = 3.29HH122 pKa = 6.9GKK124 pKa = 9.51QFARR128 pKa = 11.84YY129 pKa = 7.47RR130 pKa = 11.84APKK133 pKa = 9.88RR134 pKa = 11.84LEE136 pKa = 3.58GWRR139 pKa = 11.84CRR141 pKa = 11.84CRR143 pKa = 11.84QGSSPVVWEE152 pKa = 3.91KK153 pKa = 10.97RR154 pKa = 11.84RR155 pKa = 3.52

Molecular weight:
17.89 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

86

0

86

15929

27

909

185.2

20.44

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

9.957 ± 0.335

0.873 ± 0.123

6.422 ± 0.187

6.742 ± 0.269

3.057 ± 0.185

8.833 ± 0.498

2.04 ± 0.166

4.476 ± 0.176

4.225 ± 0.231

8.105 ± 0.266

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.329 ± 0.117

3.202 ± 0.169

6.234 ± 0.374

3.629 ± 0.187

6.887 ± 0.369

4.916 ± 0.236

5.751 ± 0.251

7.276 ± 0.187

2.109 ± 0.14

2.938 ± 0.176

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