Candidatus Curtissbacteria bacterium GW2011_GWA2_41_24

Taxonomy: cellular organisms; Bacteria; unclassified Bacteria; Bacteria candidate phyla; Patescibacteria group; Microgenomates group; Candidatus Curtissbacteria

Average proteome isoelectric point is 7.78

Get precalculated fractions of proteins

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


Virtual 2D-PAGE plot for 1,085 proteins (isoelectric point calculated using IPC_method)

Get csv file with sequences according given criteria:
        -     Method 

     -  kDa    
                                                                                      

* You can choose from 18 different methods for calculating isoelectric point
Protein with the lowest isoelectric point:
>tr|A0A0G0VWF6|A0A0G0VWF6_9BACT Uncharacterized protein
MDPNDQNPMGPVGDQGVPASDQGGQVPDTGPTTTPPPPAPGPQEPPEEGTGEIAPPPAGEPQTPVPQEDSQESPGG
Molecular weight: 7.51 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|A0A0G0YWU9|A0A0G0YWU9_9BACT Uncharacterized protein
MEQIIKIILRVLSPVSFPPVLVFRIFSMFLKWSIGRLRAVGNPSTGATRWKWKLANGNWKFEKGVF
Molecular weight: 7.66 kDa
Isoelectric point according different methods:





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

1,083

2

1,085

312,388

31

2,158

288.4

32.4 kDa
Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

7.23

0.68

4.8

5.88

5.41

6.48

1.53

8.09

7.94

10.26

1.66

4.24

3.69

4.26

4.56

6.6

5.33

6.81

1.21

3.33
Note: For statistics only major isoforms were used (in this case 1,083 proteins)
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: proteome isoelectric point database. Nucleic Acids Res. 2016. doi: 10.1093/nar/gkw978       Contact: Lukasz P. Kozlowski