Celeribacter manganoxidans

Taxonomy: cellular organisms; Bacteria; Proteobacteria; Alphaproteobacteria; Rhodobacterales; Rhodobacteraceae; Pacificitalea

Average proteome isoelectric point is 6.17

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 3510 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|A0A291LXZ4|A0A291LXZ4_9RHOB Uncharacterized protein OS=Celeribacter manganoxidans OX=1411902 GN=CBW24_05595 PE=4 SV=1
MM1 pKa = 7.55KK2 pKa = 10.29KK3 pKa = 10.25LAILALGTTVLATPVLAGNLQPVVVEE29 pKa = 4.42PAPAAPAIIAPVTGDD44 pKa = 2.85WTGGYY49 pKa = 10.05VGGQLGYY56 pKa = 11.43GDD58 pKa = 5.41LNSDD62 pKa = 4.74DD63 pKa = 6.08FDD65 pKa = 7.08DD66 pKa = 4.67EE67 pKa = 4.36DD68 pKa = 4.61TDD70 pKa = 3.87GGIYY74 pKa = 10.37GLQAGYY80 pKa = 10.53DD81 pKa = 3.57YY82 pKa = 11.67DD83 pKa = 3.96FGQFVLGGEE92 pKa = 4.25LAVDD96 pKa = 4.29GTSIEE101 pKa = 4.25SDD103 pKa = 3.01SGAEE107 pKa = 3.6IDD109 pKa = 4.31SITRR113 pKa = 11.84LGARR117 pKa = 11.84AGADD121 pKa = 3.06LGQTLVYY128 pKa = 9.83GALGAAQASTDD139 pKa = 3.55FGTDD143 pKa = 2.33TGYY146 pKa = 11.15YY147 pKa = 9.37FGGGVEE153 pKa = 4.28YY154 pKa = 10.04MVTDD158 pKa = 3.9SVSVGGEE165 pKa = 4.11VLSHH169 pKa = 6.87RR170 pKa = 11.84FDD172 pKa = 5.36DD173 pKa = 5.32FDD175 pKa = 4.09DD176 pKa = 3.95TGADD180 pKa = 3.61FDD182 pKa = 4.45ATTAAAKK189 pKa = 10.64VNFRR193 pKa = 11.84FF194 pKa = 4.07

Molecular weight: 19.86 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|A0A291M1U4|A0A291M1U4_9RHOB Peptidase M16 OS=Celeribacter manganoxidans OX=1411902 GN=CBW24_13005 PE=3 SV=1
MM1 pKa = 7.45KK2 pKa = 9.61RR3 pKa = 11.84TFQPSNLVRR12 pKa = 11.84KK13 pKa = 9.18RR14 pKa = 11.84RR15 pKa = 11.84HH16 pKa = 4.42GFRR19 pKa = 11.84ARR21 pKa = 11.84MATKK25 pKa = 10.37AGRR28 pKa = 11.84KK29 pKa = 8.54ILNARR34 pKa = 11.84RR35 pKa = 11.84ARR37 pKa = 11.84GRR39 pKa = 11.84KK40 pKa = 9.07SLSAA44 pKa = 3.93

Molecular weight: 5.14 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

3510

0

3510

1141079

38

2751

325.1

35.11

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

13.052 ± 0.058

0.85 ± 0.013

6.25 ± 0.04

5.695 ± 0.038

3.473 ± 0.025

8.867 ± 0.05

2.015 ± 0.022

4.949 ± 0.031

2.518 ± 0.031

10.179 ± 0.053

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.668 ± 0.021

2.325 ± 0.024

5.452 ± 0.035

3.138 ± 0.023

7.207 ± 0.053

4.962 ± 0.031

5.683 ± 0.042

7.234 ± 0.032

1.341 ± 0.015

2.139 ± 0.019
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