Rhodobacteraceae bacterium EhC02

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

Average proteome isoelectric point is 6.28

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 3813 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|A0A1B6YPK8|A0A1B6YPK8_9RHOB Proline--tRNA ligase OS=Rhodobacteraceae bacterium EhC02 OX=1849170 GN=proS PE=3 SV=1
MM1 pKa = 8.33DD2 pKa = 6.23DD3 pKa = 5.03NIDD6 pKa = 3.99LEE8 pKa = 4.67ALDD11 pKa = 5.67GYY13 pKa = 10.87LSSDD17 pKa = 4.15DD18 pKa = 4.31SPEE21 pKa = 3.87NCMMLSDD28 pKa = 4.94LDD30 pKa = 4.11GFIHH34 pKa = 7.28GVICSPVMIHH44 pKa = 6.23SDD46 pKa = 2.82EE47 pKa = 4.17WLPVALGGDD56 pKa = 3.79PGEE59 pKa = 4.31VPVWVLNDD67 pKa = 3.07ITDD70 pKa = 4.05LYY72 pKa = 10.48MGIAQGLVADD82 pKa = 4.65PPVVEE87 pKa = 4.81PIFWQAHH94 pKa = 4.87EE95 pKa = 4.2GHH97 pKa = 6.79VIAMDD102 pKa = 3.12WCEE105 pKa = 4.26GFMQAVALRR114 pKa = 11.84PKK116 pKa = 9.41EE117 pKa = 3.95WLRR120 pKa = 11.84LTEE123 pKa = 4.36SGTDD127 pKa = 3.3GHH129 pKa = 6.78LVNPIVAHH137 pKa = 6.72LLDD140 pKa = 5.24DD141 pKa = 4.58NGNSLLGIPQEE152 pKa = 4.31EE153 pKa = 4.49LDD155 pKa = 3.84QVLAEE160 pKa = 4.59AADD163 pKa = 4.91AIPDD167 pKa = 3.51AVAEE171 pKa = 4.1IFSYY175 pKa = 9.48WRR177 pKa = 11.84QAA179 pKa = 2.91

Molecular weight:
19.59 kDa
Isoelectric point according different methods:






Protein with the highest isoelectric point:
>tr|A0A1B6YQP4|A0A1B6YQP4_9RHOB Transcriptional regulator OS=Rhodobacteraceae bacterium EhC02 OX=1849170 GN=A8B83_11295 PE=3 SV=1
MM1 pKa = 7.45KK2 pKa = 9.61RR3 pKa = 11.84TFQPSNRR10 pKa = 11.84VRR12 pKa = 11.84KK13 pKa = 8.99NRR15 pKa = 11.84HH16 pKa = 3.77GFRR19 pKa = 11.84ARR21 pKa = 11.84MATKK25 pKa = 10.37NGRR28 pKa = 11.84KK29 pKa = 9.03ILNARR34 pKa = 11.84RR35 pKa = 11.84ARR37 pKa = 11.84GRR39 pKa = 11.84KK40 pKa = 8.97VLSAA44 pKa = 4.11

Molecular weight:
5.19 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

3813

0

3813

1208368

41

3252

316.9

34.29

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

12.895 ± 0.062

0.875 ± 0.013

6.099 ± 0.039

5.295 ± 0.038

3.611 ± 0.024

8.862 ± 0.048

2.109 ± 0.02

5.209 ± 0.027

2.794 ± 0.034

10.259 ± 0.042

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.999 ± 0.023

2.455 ± 0.025

5.176 ± 0.031

3.34 ± 0.024

6.975 ± 0.04

4.866 ± 0.026

5.467 ± 0.03

7.234 ± 0.035

1.388 ± 0.017

2.091 ± 0.017

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