Rhodobacteraceae bacterium HTCC2150

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

Average proteome isoelectric point is 6.19

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 3636 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|A3JLS7|A3JLS7_9RHOB Surface antigen (D15) OS=Rhodobacteraceae bacterium HTCC2150 OX=388401 GN=RB2150_11336 PE=4 SV=1
MM1 pKa = 7.34SAGFAAAEE9 pKa = 4.27VTVSGDD15 pKa = 2.84ARR17 pKa = 11.84MGLVYY22 pKa = 10.72DD23 pKa = 3.92DD24 pKa = 3.9TAVNKK29 pKa = 8.67ITNSSRR35 pKa = 11.84VRR37 pKa = 11.84IAFTASGEE45 pKa = 4.26TDD47 pKa = 3.74GGLTWGATVRR57 pKa = 11.84NSQTAAVGDD66 pKa = 3.97VSLGGAFGTIKK77 pKa = 10.06MGSPTGADD85 pKa = 2.77SVANVLADD93 pKa = 3.3VGYY96 pKa = 9.09TGIGIDD102 pKa = 3.63NQVEE106 pKa = 4.37GNSASSIGGHH116 pKa = 4.95NVSYY120 pKa = 8.96STSVSGFSFGISGDD134 pKa = 3.79MNNSDD139 pKa = 3.67VAVGIGYY146 pKa = 10.86SMDD149 pKa = 3.18GMSIGLGYY157 pKa = 10.17DD158 pKa = 3.09AQGNDD163 pKa = 2.99STMTLGVSYY172 pKa = 11.19AMDD175 pKa = 4.11AVTVAAMYY183 pKa = 10.6SQDD186 pKa = 3.15EE187 pKa = 4.63VAGVTTNAYY196 pKa = 8.65GISMAYY202 pKa = 8.54DD203 pKa = 3.41TGSGTVTVAMSDD215 pKa = 2.79SGAAVDD221 pKa = 4.13SQAFGIGYY229 pKa = 10.61SMGLGGGATLAVGAGKK245 pKa = 10.53VGAATRR251 pKa = 11.84AQAGISFSFF260 pKa = 3.63

Molecular weight: 25.52 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|A3JNA8|A3JNA8_9RHOB OmpA family protein OS=Rhodobacteraceae bacterium HTCC2150 OX=388401 GN=RB2150_13991 PE=4 SV=1
MM1 pKa = 7.35KK2 pKa = 9.44RR3 pKa = 11.84TYY5 pKa = 10.31QPSNLVRR12 pKa = 11.84KK13 pKa = 8.96RR14 pKa = 11.84RR15 pKa = 11.84HH16 pKa = 4.62GFRR19 pKa = 11.84SRR21 pKa = 11.84MATKK25 pKa = 10.45AGRR28 pKa = 11.84KK29 pKa = 8.47ILNSRR34 pKa = 11.84RR35 pKa = 11.84SQGRR39 pKa = 11.84KK40 pKa = 9.29SLSAA44 pKa = 3.83

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

3636

0

3636

1082448

20

11732

297.7

32.54

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

10.794 ± 0.05

0.948 ± 0.014

6.11 ± 0.059

5.756 ± 0.038

4.191 ± 0.03

8.191 ± 0.047

2.057 ± 0.025

5.97 ± 0.035

4.377 ± 0.035

9.613 ± 0.047

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.949 ± 0.027

3.621 ± 0.027

4.455 ± 0.031

3.344 ± 0.023

5.471 ± 0.04

5.754 ± 0.037

5.612 ± 0.039

7.071 ± 0.038

1.353 ± 0.018

2.364 ± 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