Mycobacterium phage Cuke

Taxonomy: Viruses; Duplodnaviria; Heunggongvirae; Uroviricota; Caudoviricetes; Caudovirales; Siphoviridae; Cukevirus; Mycobacterium virus Cuke

Average proteome isoelectric point is 6.33

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 127 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|A0A2L1IWY0|A0A2L1IWY0_9CAUD Uncharacterized protein OS=Mycobacterium phage Cuke OX=2079417 GN=SEA_CUKE_44 PE=4 SV=1
MM1 pKa = 7.54SAPIVLTVPGFFAPSNKK18 pKa = 9.45YY19 pKa = 8.93SSSVAMVLDD28 pKa = 3.57QTDD31 pKa = 4.56GYY33 pKa = 10.31SDD35 pKa = 3.77EE36 pKa = 4.64YY37 pKa = 11.58GDD39 pKa = 3.67VNEE42 pKa = 4.38YY43 pKa = 10.61GSYY46 pKa = 10.64AISFYY51 pKa = 11.11GIGIEE56 pKa = 3.92EE57 pKa = 4.89AYY59 pKa = 11.03NLVAEE64 pKa = 5.67FIADD68 pKa = 3.77TVQSFNPGVWWSEE81 pKa = 3.35VRR83 pKa = 11.84QLIDD87 pKa = 2.89ILGEE91 pKa = 3.79GRR93 pKa = 11.84NWIITTDD100 pKa = 3.21SQGFVGAEE108 pKa = 3.54AFTDD112 pKa = 3.57EE113 pKa = 4.16EE114 pKa = 4.11EE115 pKa = 4.0ARR117 pKa = 11.84KK118 pKa = 10.06VFEE121 pKa = 4.11EE122 pKa = 4.25RR123 pKa = 11.84QTDD126 pKa = 3.55YY127 pKa = 11.15HH128 pKa = 6.33VWSSQRR134 pKa = 11.84EE135 pKa = 3.91IPKK138 pKa = 10.3IGDD141 pKa = 3.57DD142 pKa = 3.64LL143 pKa = 5.93

Molecular weight: 16.06 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|A0A2L1IX20|A0A2L1IX20_9CAUD Uncharacterized protein OS=Mycobacterium phage Cuke OX=2079417 GN=SEA_CUKE_100 PE=4 SV=1
MM1 pKa = 7.09YY2 pKa = 9.93KK3 pKa = 10.34CSEE6 pKa = 4.2CAHH9 pKa = 7.22DD10 pKa = 4.15IGAMLDD16 pKa = 3.52SRR18 pKa = 11.84GVPRR22 pKa = 11.84MFICHH27 pKa = 5.35RR28 pKa = 11.84TGNAAMQVPLRR39 pKa = 11.84LPARR43 pKa = 11.84KK44 pKa = 9.09VPKK47 pKa = 9.67PNRR50 pKa = 11.84EE51 pKa = 4.2FIDD54 pKa = 3.48EE55 pKa = 4.06ARR57 pKa = 11.84GLRR60 pKa = 11.84AKK62 pKa = 10.35KK63 pKa = 10.2RR64 pKa = 11.84EE65 pKa = 3.86RR66 pKa = 3.44

Molecular weight: 7.58 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

127

0

127

21835

39

1830

171.9

19.16

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

7.96 ± 0.454

1.09 ± 0.149

6.609 ± 0.19

6.558 ± 0.366

3.916 ± 0.14

8.015 ± 0.379

2.011 ± 0.159

5.468 ± 0.142

6.013 ± 0.264

7.818 ± 0.181

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.656 ± 0.145

4.461 ± 0.184

4.763 ± 0.17

4.062 ± 0.275

5.519 ± 0.363

6.48 ± 0.231

5.542 ± 0.243

6.325 ± 0.155

1.768 ± 0.126

2.968 ± 0.177
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