Shigella phage MK-13

Taxonomy: Viruses; Duplodnaviria; Heunggongvirae; Uroviricota; Caudoviricetes; Caudovirales; Ackermannviridae; Aglimvirinae; Agtrevirus; Shigella virus MK13

Average proteome isoelectric point is 6.11

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 207 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|A0A513QBI5|A0A513QBI5_9CAUD Uncharacterized protein OS=Shigella phage MK-13 OX=2530042 GN=MK13_00075 PE=4 SV=1
MM1 pKa = 7.68KK2 pKa = 10.23LNKK5 pKa = 9.49ILLVCALAFSTTACSTLADD24 pKa = 3.87VVSTPDD30 pKa = 3.22LDD32 pKa = 4.99APTFTNEE39 pKa = 3.42QAVAKK44 pKa = 10.18MEE46 pKa = 4.13DD47 pKa = 3.74TIKK50 pKa = 11.06AHH52 pKa = 6.87AALDD56 pKa = 3.77NTTPGPLQTVCNYY69 pKa = 10.58DD70 pKa = 3.97DD71 pKa = 5.54SIQEE75 pKa = 4.24DD76 pKa = 3.93EE77 pKa = 4.95TYY79 pKa = 10.8HH80 pKa = 5.42CTTYY84 pKa = 10.89VKK86 pKa = 10.16QASVVLYY93 pKa = 10.43ADD95 pKa = 3.89CTEE98 pKa = 4.24EE99 pKa = 3.99QCVATGYY106 pKa = 11.29DD107 pKa = 3.23KK108 pKa = 11.7VEE110 pKa = 3.94EE111 pKa = 4.53DD112 pKa = 3.61KK113 pKa = 11.58

Molecular weight: 12.3 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|A0A513QBS3|A0A513QBS3_9CAUD aGPT-Pplase1 domain-containing protein OS=Shigella phage MK-13 OX=2530042 GN=MK13_00145 PE=4 SV=1
MM1 pKa = 7.53ANSIPILEE9 pKa = 4.45AVVKK13 pKa = 9.32EE14 pKa = 4.02NPRR17 pKa = 11.84ARR19 pKa = 11.84KK20 pKa = 8.75SRR22 pKa = 11.84RR23 pKa = 11.84RR24 pKa = 11.84LVTKK28 pKa = 10.72LDD30 pKa = 3.64LLKK33 pKa = 10.87QKK35 pKa = 10.82FGDD38 pKa = 3.32HH39 pKa = 6.25SVFARR44 pKa = 11.84IRR46 pKa = 11.84NALKK50 pKa = 10.21EE51 pKa = 3.98GRR53 pKa = 11.84TEE55 pKa = 4.12LEE57 pKa = 3.91LYY59 pKa = 10.03RR60 pKa = 11.84PNGSTRR66 pKa = 11.84AYY68 pKa = 8.21QTTDD72 pKa = 2.69GLLEE76 pKa = 4.85LIRR79 pKa = 11.84LSGMTIEE86 pKa = 4.9PRR88 pKa = 11.84SSGTPLCSLYY98 pKa = 11.17VIGNLGALL106 pKa = 3.84

Molecular weight: 11.85 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

207

0

207

48302

38

1612

233.3

26.24

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

7.219 ± 0.169

1.116 ± 0.072

6.563 ± 0.129

6.542 ± 0.197

4.288 ± 0.108

6.861 ± 0.201

1.855 ± 0.109

6.047 ± 0.123

6.302 ± 0.191

8.163 ± 0.166

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.888 ± 0.102

4.828 ± 0.134

3.923 ± 0.096

3.789 ± 0.112

4.954 ± 0.129

6.016 ± 0.175

6.072 ± 0.22

7.403 ± 0.149

1.373 ± 0.065

3.797 ± 0.112
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