Trinickia caryophylli (Paraburkholderia caryophylli)

Taxonomy: cellular organisms; Bacteria; Proteobacteria; Betaproteobacteria; Burkholderiales; Burkholderiaceae; Trinickia

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 5785 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|A0A1X7EGT0|A0A1X7EGT0_TRICW Tryptophan synthase alpha chain OS=Trinickia caryophylli OX=28094 GN=trpA PE=3 SV=1
MM1 pKa = 7.35EE2 pKa = 5.09TLQSPPVDD10 pKa = 3.82APSLPPSFVDD20 pKa = 4.25FTPNAAAKK28 pKa = 9.3VASLIEE34 pKa = 4.38TEE36 pKa = 4.61GNPALKK42 pKa = 10.41LRR44 pKa = 11.84LYY46 pKa = 10.85VSGGGCSGFQYY57 pKa = 10.88GFAFDD62 pKa = 4.38DD63 pKa = 4.02QVAEE67 pKa = 4.7DD68 pKa = 4.52DD69 pKa = 3.97MQIVTDD75 pKa = 4.85GVTLLVDD82 pKa = 4.04SMSQQYY88 pKa = 10.17LAGARR93 pKa = 11.84VDD95 pKa = 3.84YY96 pKa = 11.32EE97 pKa = 4.12EE98 pKa = 5.48GLDD101 pKa = 3.47GSRR104 pKa = 11.84FVIQNPNAQSTCGCGSSFSMM124 pKa = 5.09

Molecular weight: 13.11 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|A0A1X7FB51|A0A1X7FB51_TRICW Biotin-dependent carboxylase uncharacterized domain-containing protein OS=Trinickia caryophylli OX=28094 GN=SAMN06295900_108164 PE=4 SV=1
MM1 pKa = 7.36HH2 pKa = 7.44RR3 pKa = 11.84RR4 pKa = 11.84LTSRR8 pKa = 11.84VGHH11 pKa = 5.95AVLRR15 pKa = 11.84AARR18 pKa = 11.84PARR21 pKa = 11.84RR22 pKa = 11.84GLIRR26 pKa = 11.84ALRR29 pKa = 11.84HH30 pKa = 4.52HH31 pKa = 7.51AARR34 pKa = 11.84AIGLARR40 pKa = 11.84ARR42 pKa = 11.84AEE44 pKa = 4.15HH45 pKa = 6.48EE46 pKa = 4.06LQGGIVRR53 pKa = 11.84TWLQTLAAALGARR66 pKa = 11.84RR67 pKa = 11.84GTRR70 pKa = 11.84RR71 pKa = 11.84FSLRR75 pKa = 11.84TLIVKK80 pKa = 9.41PAMRR84 pKa = 11.84RR85 pKa = 11.84VRR87 pKa = 11.84AAASARR93 pKa = 11.84FAPAAASRR101 pKa = 11.84RR102 pKa = 11.84PRR104 pKa = 11.84RR105 pKa = 11.84SGASAGWFAFAARR118 pKa = 4.17

Molecular weight: 12.97 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

5785

0

5785

1921830

29

4206

332.2

35.97

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

13.571 ± 0.05

0.955 ± 0.009

5.355 ± 0.024

5.301 ± 0.031

3.584 ± 0.022

8.276 ± 0.037

2.306 ± 0.018

4.475 ± 0.018

2.815 ± 0.026

10.14 ± 0.034

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.295 ± 0.016

2.564 ± 0.021

5.214 ± 0.028

3.384 ± 0.021

7.494 ± 0.032

5.594 ± 0.028

5.273 ± 0.028

7.651 ± 0.024

1.348 ± 0.012

2.407 ± 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