Acidovorax valerianellae

Taxonomy: cellular organisms; Bacteria; Proteobacteria; Betaproteobacteria; Burkholderiales; Comamonadaceae; Acidovorax

Average proteome isoelectric point is 6.89

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 4680 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|A0A1G7BFU3|A0A1G7BFU3_9BURK Amino acid ABC transporter substrate-binding protein PAAT family OS=Acidovorax valerianellae OX=187868 GN=SAMN05192589_11458 PE=4 SV=1
MM1 pKa = 7.25SAVAEE6 pKa = 4.41NIQTEE11 pKa = 4.54MPAPILFTDD20 pKa = 3.95SAAAKK25 pKa = 10.02VADD28 pKa = 5.45LIAEE32 pKa = 4.31EE33 pKa = 4.82GNPDD37 pKa = 2.99LKK39 pKa = 11.13LRR41 pKa = 11.84VFVQGGGCSGFQYY54 pKa = 10.94GFTFDD59 pKa = 4.81EE60 pKa = 4.64ITNEE64 pKa = 4.77DD65 pKa = 4.2DD66 pKa = 3.25TTMTKK71 pKa = 10.66NGVSLLIDD79 pKa = 3.54AMSYY83 pKa = 10.32QYY85 pKa = 11.5LVGAEE90 pKa = 3.79IDD92 pKa = 3.91YY93 pKa = 11.36KK94 pKa = 11.19EE95 pKa = 4.67DD96 pKa = 3.23LQGAQFVIKK105 pKa = 10.4NPNATTTCGCGSSFSAA121 pKa = 4.79

Molecular weight: 12.89 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|A0A1G7AS06|A0A1G7AS06_9BURK Putative mRNA 3-end processing factor OS=Acidovorax valerianellae OX=187868 GN=SAMN05192589_11345 PE=4 SV=1
MM1 pKa = 7.54PFVGGKK7 pKa = 9.06HH8 pKa = 5.33RR9 pKa = 11.84ALTAFLGRR17 pKa = 11.84GWGRR21 pKa = 11.84ILARR25 pKa = 11.84RR26 pKa = 11.84PAAWTRR32 pKa = 11.84PHH34 pKa = 7.23RR35 pKa = 11.84SGALRR40 pKa = 11.84SKK42 pKa = 11.11ASLLTATLRR51 pKa = 11.84CAAGHH56 pKa = 5.94LRR58 pKa = 11.84GLRR61 pKa = 11.84LVEE64 pKa = 4.01AVRR67 pKa = 11.84TGWAALRR74 pKa = 11.84SRR76 pKa = 11.84RR77 pKa = 11.84APPQVRR83 pKa = 11.84RR84 pKa = 11.84PLRR87 pKa = 11.84ASVPFGRR94 pKa = 11.84NAWAARR100 pKa = 11.84LSPSLRR106 pKa = 11.84RR107 pKa = 11.84ARR109 pKa = 11.84PGRR112 pKa = 11.84AIPSFASASWGPLLRR127 pKa = 11.84GGGRR131 pKa = 11.84WQQ133 pKa = 3.1

Molecular weight: 14.58 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

4680

0

4680

1554900

39

3128

332.2

35.9

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

13.329 ± 0.056

0.893 ± 0.013

5.184 ± 0.025

5.105 ± 0.033

3.34 ± 0.022

8.455 ± 0.04

2.309 ± 0.021

4.072 ± 0.025

3.008 ± 0.034

10.553 ± 0.034

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.386 ± 0.018

2.523 ± 0.023

5.568 ± 0.028

4.323 ± 0.026

6.919 ± 0.032

5.491 ± 0.027

5.318 ± 0.029

7.557 ± 0.025

1.499 ± 0.013

2.168 ± 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