Vibrio ishigakensis

Taxonomy: cellular organisms; Bacteria; Proteobacteria; Gammaproteobacteria; Vibrionales; Vibrionaceae; Vibrio

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 5867 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|A0A0B8NQD8|A0A0B8NQD8_9VIBR MSHA biogenesis protein mshE OS=Vibrio ishigakensis OX=1481914 GN=JCM19231_4680 PE=3 SV=1
MM1 pKa = 7.51TEE3 pKa = 3.46ILSRR7 pKa = 11.84NFDD10 pKa = 4.07DD11 pKa = 6.39KK12 pKa = 11.52SDD14 pKa = 3.67HH15 pKa = 7.36DD16 pKa = 4.31GGEE19 pKa = 4.3FRR21 pKa = 11.84CGEE24 pKa = 4.51DD25 pKa = 5.23DD26 pKa = 5.36YY27 pKa = 12.02LDD29 pKa = 3.97AQNDD33 pKa = 4.09VIEE36 pKa = 4.68CTPASAFGPDD46 pKa = 3.38NSEE49 pKa = 4.08PPSLFNDD56 pKa = 2.76VDD58 pKa = 4.36DD59 pKa = 6.35YY60 pKa = 11.52VGCWYY65 pKa = 7.62TTDD68 pKa = 3.43EE69 pKa = 4.42SKK71 pKa = 11.42ANCRR75 pKa = 11.84VDD77 pKa = 3.3EE78 pKa = 4.8AGNLNDD84 pKa = 4.01IFGNNISDD92 pKa = 4.07DD93 pKa = 3.86YY94 pKa = 11.51LGFRR98 pKa = 11.84AEE100 pKa = 4.07VTVEE104 pKa = 3.57YY105 pKa = 10.32DD106 pKa = 2.99YY107 pKa = 11.55DD108 pKa = 3.8SRR110 pKa = 11.84LGVPTVDD117 pKa = 2.69SGEE120 pKa = 3.78PRR122 pKa = 11.84EE123 pKa = 4.07IFKK126 pKa = 11.04VVTVVITASQYY137 pKa = 10.87GDD139 pKa = 3.42FTFVAHH145 pKa = 7.16RR146 pKa = 11.84GNYY149 pKa = 8.54

Molecular weight: 16.63 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|A0A0B8QR97|A0A0B8QR97_9VIBR Gamma-glutamylcyclotransferase family protein OS=Vibrio ishigakensis OX=1481914 GN=JCM19231_4353 PE=3 SV=1
MM1 pKa = 7.45KK2 pKa = 9.51RR3 pKa = 11.84TFQPSVLKK11 pKa = 10.49RR12 pKa = 11.84KK13 pKa = 7.97RR14 pKa = 11.84THH16 pKa = 5.89GFRR19 pKa = 11.84ARR21 pKa = 11.84MATKK25 pKa = 10.44NGRR28 pKa = 11.84KK29 pKa = 9.39VINARR34 pKa = 11.84RR35 pKa = 11.84AKK37 pKa = 10.22GRR39 pKa = 11.84ARR41 pKa = 11.84LSKK44 pKa = 10.83

Molecular weight: 5.17 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

5867

0

5867

1286837

37

1272

219.3

24.37

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

8.428 ± 0.038

1.011 ± 0.012

5.537 ± 0.035

6.609 ± 0.036

4.24 ± 0.027

6.968 ± 0.033

2.138 ± 0.017

6.275 ± 0.029

5.36 ± 0.03

10.262 ± 0.041

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.802 ± 0.019

4.166 ± 0.024

3.836 ± 0.022

4.299 ± 0.025

4.362 ± 0.026

6.779 ± 0.032

5.403 ± 0.027

7.165 ± 0.031

1.265 ± 0.013

3.097 ± 0.02
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