Hydrogenivirga sp. 128-5-R1-1

Taxonomy: cellular organisms; Bacteria; Aquificae; Aquificae; Aquificales; Aquificaceae; Hydrogenivirga; unclassified Hydrogenivirga

Average proteome isoelectric point is 6.81

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 3805 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|A8UVS0|A8UVS0_9AQUI Uncharacterized protein OS=Hydrogenivirga sp. 128-5-R1-1 OX=392423 GN=HG1285_00540 PE=4 SV=1
MM1 pKa = 8.89VMFDD5 pKa = 3.01WLKK8 pKa = 9.43RR9 pKa = 11.84WFWFDD14 pKa = 4.3PDD16 pKa = 5.24DD17 pKa = 6.71DD18 pKa = 5.79DD19 pKa = 6.8DD20 pKa = 5.55SLYY23 pKa = 11.07KK24 pKa = 10.57DD25 pKa = 4.37DD26 pKa = 4.7TDD28 pKa = 3.86SGNDD32 pKa = 3.31FVTDD36 pKa = 3.87PKK38 pKa = 11.45YY39 pKa = 11.1CFLEE43 pKa = 4.01GNIYY47 pKa = 10.52HH48 pKa = 7.27DD49 pKa = 4.0ICDD52 pKa = 3.89DD53 pKa = 3.73HH54 pKa = 8.16HH55 pKa = 6.99DD56 pKa = 4.33HH57 pKa = 7.08LWDD60 pKa = 5.38DD61 pKa = 4.2SDD63 pKa = 4.34SHH65 pKa = 6.88DD66 pKa = 3.74TTEE69 pKa = 4.8DD70 pKa = 2.53WSYY73 pKa = 11.8WDD75 pKa = 4.32DD76 pKa = 4.01TTDD79 pKa = 4.32DD80 pKa = 3.26WHH82 pKa = 6.3TTNDD86 pKa = 3.04WDD88 pKa = 3.6TWDD91 pKa = 5.03DD92 pKa = 5.12FSSSWDD98 pKa = 3.74DD99 pKa = 3.33DD100 pKa = 3.48WW101 pKa = 6.91

Molecular weight:
12.51 kDa
Isoelectric point according different methods:






Protein with the highest isoelectric point:
>tr|A8UV95|A8UV95_9AQUI Transcriptional regulator (DegT/DnrJ/Eryc1 family) protein OS=Hydrogenivirga sp. 128-5-R1-1 OX=392423 GN=HG1285_16121 PE=3 SV=1
MM1 pKa = 7.76PEE3 pKa = 3.81ALKK6 pKa = 10.29PHH8 pKa = 6.65ISIKK12 pKa = 9.73KK13 pKa = 8.7KK14 pKa = 9.39KK15 pKa = 9.43RR16 pKa = 11.84KK17 pKa = 9.7SGFLARR23 pKa = 11.84MRR25 pKa = 11.84TRR27 pKa = 11.84SGRR30 pKa = 11.84KK31 pKa = 7.32IIKK34 pKa = 9.73RR35 pKa = 11.84RR36 pKa = 11.84RR37 pKa = 11.84QKK39 pKa = 10.36GRR41 pKa = 11.84RR42 pKa = 11.84RR43 pKa = 11.84LAPP46 pKa = 3.79

Molecular weight:
5.52 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

3805

0

3805

957714

10

1535

251.7

28.59

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

5.984 ± 0.039

0.793 ± 0.017

4.975 ± 0.025

8.864 ± 0.057

4.902 ± 0.034

6.863 ± 0.037

1.554 ± 0.02

7.478 ± 0.056

8.408 ± 0.058

10.39 ± 0.052

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.052 ± 0.018

3.933 ± 0.034

3.848 ± 0.025

2.233 ± 0.022

5.317 ± 0.046

5.472 ± 0.034

4.353 ± 0.03

7.751 ± 0.038

0.923 ± 0.016

3.908 ± 0.028

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