Roseicella frigidaeris

Taxonomy: cellular organisms; Bacteria; Proteobacteria; Alphaproteobacteria; Rhodospirillales; Acetobacteraceae; Roseicella

Average proteome isoelectric point is 7.16

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 5221 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|A0A327MEN4|A0A327MEN4_9PROT Lauroyl acyltransferase OS=Roseicella frigidaeris OX=2230885 GN=DOO78_01790 PE=4 SV=1
MM1 pKa = 7.8SIPAYY6 pKa = 10.38ARR8 pKa = 11.84ANFQTLLRR16 pKa = 11.84AANSGDD22 pKa = 3.8LALMEE27 pKa = 4.74CTDD30 pKa = 4.2LATGEE35 pKa = 4.1PRR37 pKa = 11.84YY38 pKa = 9.93VICAVGRR45 pKa = 11.84DD46 pKa = 3.47DD47 pKa = 6.17DD48 pKa = 4.68EE49 pKa = 5.52FVFTPFGHH57 pKa = 7.19LADD60 pKa = 4.58GNPFEE65 pKa = 5.59IYY67 pKa = 10.33SPPDD71 pKa = 3.04ASTT74 pKa = 3.04

Molecular weight:
8.01 kDa
Isoelectric point according different methods:






Protein with the highest isoelectric point:
>tr|A0A327LZ82|A0A327LZ82_9PROT Glutathione S-transferase family protein OS=Roseicella frigidaeris OX=2230885 GN=DOO78_21810 PE=4 SV=1
MM1 pKa = 7.43TKK3 pKa = 10.26GSRR6 pKa = 11.84RR7 pKa = 11.84RR8 pKa = 11.84GRR10 pKa = 11.84RR11 pKa = 11.84RR12 pKa = 11.84RR13 pKa = 11.84RR14 pKa = 11.84CGDD17 pKa = 3.63PNRR20 pKa = 11.84LPPSRR25 pKa = 11.84LLPSRR30 pKa = 11.84RR31 pKa = 11.84PPSHH35 pKa = 6.52RR36 pKa = 11.84RR37 pKa = 11.84PRR39 pKa = 11.84HH40 pKa = 4.47SPPRR44 pKa = 11.84RR45 pKa = 11.84RR46 pKa = 11.84ARR48 pKa = 11.84RR49 pKa = 11.84PIRR52 pKa = 11.84PPRR55 pKa = 11.84RR56 pKa = 11.84RR57 pKa = 11.84RR58 pKa = 11.84RR59 pKa = 11.84CPRR62 pKa = 11.84RR63 pKa = 11.84RR64 pKa = 11.84RR65 pKa = 11.84PRR67 pKa = 11.84RR68 pKa = 11.84PCPRR72 pKa = 11.84PRR74 pKa = 11.84PRR76 pKa = 11.84PRR78 pKa = 11.84RR79 pKa = 11.84SPRR82 pKa = 11.84RR83 pKa = 11.84RR84 pKa = 11.84RR85 pKa = 11.84RR86 pKa = 11.84PPRR89 pKa = 11.84RR90 pKa = 11.84PWRR93 pKa = 11.84PLL95 pKa = 3.06

Molecular weight:
12.07 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

5221

0

5221

1704881

26

2450

326.5

34.91

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

15.484 ± 0.061

0.871 ± 0.01

4.736 ± 0.024

5.601 ± 0.027

3.139 ± 0.018

9.689 ± 0.03

1.99 ± 0.014

3.889 ± 0.022

1.798 ± 0.021

11.386 ± 0.044

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.186 ± 0.015

1.85 ± 0.017

6.631 ± 0.026

3.019 ± 0.021

8.669 ± 0.032

4.061 ± 0.02

4.704 ± 0.022

6.991 ± 0.028

1.524 ± 0.015

1.782 ± 0.016

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