Roseateles depolymerans

Taxonomy: cellular organisms; Bacteria; Proteobacteria; Betaproteobacteria; Burkholderiales; Burkholderiales genera incertae sedis; Roseateles

Average proteome isoelectric point is 6.83

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 4768 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|A0A0U3NIA0|A0A0U3NIA0_9BURK Uncharacterized protein OS=Roseateles depolymerans OX=76731 GN=RD2015_3673 PE=4 SV=1
MM1 pKa = 7.43QITAPCVVSLTWRR14 pKa = 11.84LEE16 pKa = 3.96DD17 pKa = 3.53AQGQSVEE24 pKa = 4.18EE25 pKa = 4.56LNPAMEE31 pKa = 4.49FFYY34 pKa = 10.9GGEE37 pKa = 3.87DD38 pKa = 3.2LFAKK42 pKa = 10.56VEE44 pKa = 3.97EE45 pKa = 4.37ALAGHH50 pKa = 5.17VTGDD54 pKa = 3.65EE55 pKa = 4.29VSVALQPEE63 pKa = 4.53DD64 pKa = 4.22AFGDD68 pKa = 3.75YY69 pKa = 10.93DD70 pKa = 3.68SALVCFEE77 pKa = 4.85PRR79 pKa = 11.84DD80 pKa = 3.79VMPEE84 pKa = 3.83NVVVGMQFEE93 pKa = 4.45GLPEE97 pKa = 4.44GASTPDD103 pKa = 3.19MPADD107 pKa = 4.71RR108 pKa = 11.84IYY110 pKa = 10.79TVTEE114 pKa = 3.97VYY116 pKa = 10.05PEE118 pKa = 4.05HH119 pKa = 6.76VVLDD123 pKa = 4.35GNHH126 pKa = 6.68PLAGIGLRR134 pKa = 11.84IHH136 pKa = 5.94VTVCDD141 pKa = 3.54VRR143 pKa = 11.84EE144 pKa = 4.09ATEE147 pKa = 4.19EE148 pKa = 3.95EE149 pKa = 4.82VEE151 pKa = 4.28AGTLGDD157 pKa = 3.91SGLSVLNGPAPDD169 pKa = 4.2EE170 pKa = 4.37PLHH173 pKa = 6.22

Molecular weight: 18.6 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|A0A0U2TWG1|A0A0U2TWG1_9BURK Hisitidine kinase OS=Roseateles depolymerans OX=76731 GN=RD2015_55 PE=4 SV=1
MM1 pKa = 7.31KK2 pKa = 9.39RR3 pKa = 11.84TYY5 pKa = 10.12QGSKK9 pKa = 6.25TRR11 pKa = 11.84RR12 pKa = 11.84ARR14 pKa = 11.84THH16 pKa = 5.79GFLVRR21 pKa = 11.84MKK23 pKa = 9.7TRR25 pKa = 11.84GGRR28 pKa = 11.84AVIAARR34 pKa = 11.84RR35 pKa = 11.84AKK37 pKa = 9.8GRR39 pKa = 11.84KK40 pKa = 8.75RR41 pKa = 11.84LAVV44 pKa = 3.41

Molecular weight: 5.06 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

4768

0

4768

1655302

29

4828

347.2

37.62

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

12.743 ± 0.052

0.828 ± 0.011

5.426 ± 0.024

5.101 ± 0.03

3.145 ± 0.023

8.285 ± 0.038

2.226 ± 0.022

3.696 ± 0.026

2.872 ± 0.028

11.185 ± 0.046

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.394 ± 0.019

2.428 ± 0.028

5.607 ± 0.039

4.584 ± 0.03

7.234 ± 0.037

5.909 ± 0.037

5.321 ± 0.04

7.425 ± 0.032

1.574 ± 0.018

2.015 ± 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