Microbacterium phage PauloDiaboli

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

Average proteome isoelectric point is 6.05

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 311 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|A0A6G6XID5|A0A6G6XID5_9CAUD Uncharacterized protein OS=Microbacterium phage PauloDiaboli OX=2704039 GN=191 PE=4 SV=1
MM1 pKa = 7.97DD2 pKa = 6.21GIDD5 pKa = 4.11PEE7 pKa = 5.02SKK9 pKa = 10.39FNVPGSVEE17 pKa = 4.13YY18 pKa = 11.08NPLEE22 pKa = 4.71DD23 pKa = 5.65DD24 pKa = 5.19DD25 pKa = 6.28FVLQSKK31 pKa = 10.27YY32 pKa = 10.35DD33 pKa = 3.63EE34 pKa = 4.32RR35 pKa = 11.84LRR37 pKa = 11.84GYY39 pKa = 8.92WAGRR43 pKa = 11.84GSDD46 pKa = 3.46GQLAFVSDD54 pKa = 4.16QLGVDD59 pKa = 3.72HH60 pKa = 6.37VTLGVDD66 pKa = 3.36PDD68 pKa = 4.12NVPVIYY74 pKa = 10.72YY75 pKa = 10.61DD76 pKa = 3.96DD77 pKa = 3.93VLSKK81 pKa = 10.87EE82 pKa = 3.94FTYY85 pKa = 10.82DD86 pKa = 3.39GEE88 pKa = 4.07NTIYY92 pKa = 10.33IRR94 pKa = 11.84AYY96 pKa = 10.04SS97 pKa = 3.39

Molecular weight: 10.96 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|A0A6G6XJR8|A0A6G6XJR8_9CAUD Uncharacterized protein OS=Microbacterium phage PauloDiaboli OX=2704039 GN=339 PE=4 SV=1
MM1 pKa = 8.08DD2 pKa = 4.66AQADD6 pKa = 3.97PWSSIAPMPPWWVQQHH22 pKa = 5.98RR23 pKa = 11.84LVEE26 pKa = 4.17VDD28 pKa = 3.71EE29 pKa = 4.58QPWACTCGARR39 pKa = 11.84GRR41 pKa = 11.84AVGGNARR48 pKa = 11.84VHH50 pKa = 6.26HH51 pKa = 6.55YY52 pKa = 9.29KK53 pKa = 10.33HH54 pKa = 6.25QMRR57 pKa = 11.84AKK59 pKa = 9.31KK60 pKa = 10.29KK61 pKa = 9.37HH62 pKa = 5.98DD63 pKa = 3.83AFTKK67 pKa = 9.27ARR69 pKa = 11.84KK70 pKa = 9.67GKK72 pKa = 8.04VQHH75 pKa = 5.81ARR77 pKa = 11.84FYY79 pKa = 10.11GGYY82 pKa = 7.73RR83 pKa = 11.84QGYY86 pKa = 7.41SRR88 pKa = 11.84YY89 pKa = 9.44RR90 pKa = 3.3

Molecular weight: 10.49 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

311

0

311

53436

23

1913

171.8

19.06

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

9.84 ± 0.305

0.764 ± 0.082

6.625 ± 0.197

6.868 ± 0.261

3.535 ± 0.127

7.798 ± 0.197

1.952 ± 0.1

5.012 ± 0.114

4.375 ± 0.125

7.734 ± 0.18

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.459 ± 0.111

3.709 ± 0.14

4.987 ± 0.148

3.191 ± 0.102

6.198 ± 0.189

5.642 ± 0.15

6.604 ± 0.242

7.298 ± 0.182

2.087 ± 0.101

3.322 ± 0.134
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