Paracoccus liaowanqingii

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

Average proteome isoelectric point is 6.43

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 4493 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|A0A4Z1BLE0|A0A4Z1BLE0_9RHOB Helix-turn-helix domain-containing protein OS=Paracoccus liaowanqingii OX=2560053 GN=E4L95_22845 PE=4 SV=1
MM1 pKa = 7.53TLRR4 pKa = 11.84TLTFSLAGTALAAGAAMAQDD24 pKa = 4.28GEE26 pKa = 4.58PIEE29 pKa = 5.1LGIPVFLSGAASGPFGLPQQNGANVLIKK57 pKa = 10.47ALNAGEE63 pKa = 4.45VPAPYY68 pKa = 8.94DD69 pKa = 3.36TVGINGRR76 pKa = 11.84MVEE79 pKa = 3.94ATYY82 pKa = 11.17VDD84 pKa = 4.06EE85 pKa = 5.44AADD88 pKa = 3.41AVQEE92 pKa = 3.91YY93 pKa = 10.41RR94 pKa = 11.84NLVEE98 pKa = 4.74RR99 pKa = 11.84DD100 pKa = 3.34NVDD103 pKa = 2.87AVVGYY108 pKa = 8.37TSSGNCMAVAPLAEE122 pKa = 4.42QFEE125 pKa = 4.61QLTVLVDD132 pKa = 3.78CGTPQVFEE140 pKa = 4.61SVVTDD145 pKa = 3.29PTYY148 pKa = 11.24LFRR151 pKa = 11.84TGPTGTIDD159 pKa = 3.07SVGAVRR165 pKa = 11.84YY166 pKa = 10.41LMDD169 pKa = 3.76TGVDD173 pKa = 3.41MSRR176 pKa = 11.84VGGINQNYY184 pKa = 10.15AWGQDD189 pKa = 2.61AWADD193 pKa = 3.76FTGSLTALEE202 pKa = 4.31TDD204 pKa = 3.69SEE206 pKa = 4.65IVTEE210 pKa = 3.9QFPQVFAGQYY220 pKa = 8.12GAEE223 pKa = 4.2VV224 pKa = 3.27

Molecular weight: 23.53 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|A0A4P7HP56|A0A4P7HP56_9RHOB Uncharacterized protein OS=Paracoccus liaowanqingii OX=2560053 GN=E4191_07915 PE=4 SV=1
MM1 pKa = 7.45KK2 pKa = 9.61RR3 pKa = 11.84TFQPSNLVRR12 pKa = 11.84ARR14 pKa = 11.84RR15 pKa = 11.84HH16 pKa = 4.37GFRR19 pKa = 11.84ARR21 pKa = 11.84MATKK25 pKa = 10.12GGRR28 pKa = 11.84RR29 pKa = 11.84VLNARR34 pKa = 11.84RR35 pKa = 11.84AKK37 pKa = 9.69GRR39 pKa = 11.84KK40 pKa = 8.91RR41 pKa = 11.84LSAA44 pKa = 3.96

Molecular weight: 5.12 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

4493

0

4493

1306414

27

1770

290.8

31.42

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

13.151 ± 0.048

0.813 ± 0.011

6.172 ± 0.036

5.192 ± 0.033

3.45 ± 0.022

8.891 ± 0.042

2.096 ± 0.017

5.058 ± 0.028

2.233 ± 0.033

10.512 ± 0.045

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.782 ± 0.017

2.231 ± 0.019

5.557 ± 0.032

3.433 ± 0.021

7.499 ± 0.037

4.928 ± 0.024

5.44 ± 0.023

7.151 ± 0.032

1.439 ± 0.017

1.973 ± 0.018
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