Enterococcus ratti

Taxonomy: cellular organisms; Bacteria; Terrabacteria group; Firmicutes; Bacilli; Lactobacillales; Enterococcaceae;

Average proteome isoelectric point is 6.92

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 2411 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|A0A1L8WQ76|A0A1L8WQ76_9ENTE PRD domain-containing protein OS=Enterococcus ratti OX=150033 GN=RV14_GL001869 PE=4 SV=1
MM1 pKa = 7.52KK2 pKa = 10.01RR3 pKa = 11.84GKK5 pKa = 10.89LMTEE9 pKa = 3.89NNHH12 pKa = 5.09THH14 pKa = 6.65DD15 pKa = 4.71HH16 pKa = 5.89DD17 pKa = 4.91HH18 pKa = 7.09EE19 pKa = 4.45GHH21 pKa = 5.2EE22 pKa = 5.0HH23 pKa = 5.6ITLVDD28 pKa = 3.67DD29 pKa = 4.08QGNEE33 pKa = 3.72TLYY36 pKa = 10.96EE37 pKa = 3.92ILLTVDD43 pKa = 3.27GQEE46 pKa = 4.0EE47 pKa = 4.22FGRR50 pKa = 11.84NYY52 pKa = 10.54VLLYY56 pKa = 9.2PAGVSEE62 pKa = 5.2DD63 pKa = 3.8EE64 pKa = 4.43DD65 pKa = 4.35VEE67 pKa = 4.31LQAYY71 pKa = 9.86AYY73 pKa = 9.68IEE75 pKa = 4.46NEE77 pKa = 4.25DD78 pKa = 3.63GTEE81 pKa = 4.16GEE83 pKa = 4.51LEE85 pKa = 4.16QIEE88 pKa = 4.57TDD90 pKa = 4.13AEE92 pKa = 3.62WDD94 pKa = 3.57MIEE97 pKa = 4.38EE98 pKa = 4.22VFNTFMAEE106 pKa = 3.9EE107 pKa = 4.15EE108 pKa = 4.24

Molecular weight:
12.55 kDa
Isoelectric point according different methods:






Protein with the highest isoelectric point:
>tr|A0A1L8WKZ6|A0A1L8WKZ6_9ENTE Uncharacterized protein OS=Enterococcus ratti OX=150033 GN=RV14_GL000222 PE=4 SV=1
MM1 pKa = 7.92PKK3 pKa = 10.12QKK5 pKa = 7.54THH7 pKa = 6.73RR8 pKa = 11.84GSAKK12 pKa = 9.62RR13 pKa = 11.84FKK15 pKa = 10.04RR16 pKa = 11.84TGKK19 pKa = 10.53GGLKK23 pKa = 9.97RR24 pKa = 11.84FRR26 pKa = 11.84AFTSHH31 pKa = 6.94RR32 pKa = 11.84FHH34 pKa = 7.48GKK36 pKa = 6.37TKK38 pKa = 9.57KK39 pKa = 9.43QRR41 pKa = 11.84RR42 pKa = 11.84QLRR45 pKa = 11.84KK46 pKa = 9.6ASIVSSGDD54 pKa = 3.16FKK56 pKa = 11.25RR57 pKa = 11.84IRR59 pKa = 11.84QQLAKK64 pKa = 9.86MKK66 pKa = 10.54

Molecular weight:
7.8 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

2411

0

2411

662122

37

1715

274.6

31.09

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

6.602 ± 0.049

0.693 ± 0.014

4.671 ± 0.038

7.359 ± 0.06

4.719 ± 0.042

6.158 ± 0.048

1.895 ± 0.023

7.932 ± 0.047

7.956 ± 0.053

9.968 ± 0.053

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.694 ± 0.025

4.858 ± 0.04

3.261 ± 0.022

4.383 ± 0.04

3.902 ± 0.041

5.901 ± 0.039

5.734 ± 0.039

6.596 ± 0.041

0.9 ± 0.017

3.82 ± 0.034

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