Enterocytozoon hepatopenaei

Taxonomy: cellular organisms; Eukaryota; Opisthokonta; Fungi; Fungi incertae sedis; Microsporidia; Apansporoblastina; Enterocytozoonidae; Enterocytozoon

Average proteome isoelectric point is 7.15

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 2431 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|A0A1W0E8S9|A0A1W0E8S9_9MICR Uncharacterized protein OS=Enterocytozoon hepatopenaei OX=646526 GN=EHP00_2477 PE=4 SV=1
MM1 pKa = 7.95IYY3 pKa = 10.1TITNIIMYY11 pKa = 8.79FILFILYY18 pKa = 9.84CNSIMFTIRR27 pKa = 11.84YY28 pKa = 5.56VTSSPFFIMLLMLLYY43 pKa = 10.49LLDD46 pKa = 3.49MTYY49 pKa = 10.93INIDD53 pKa = 2.95MVMYY57 pKa = 10.39IIYY60 pKa = 10.11ILYY63 pKa = 9.85DD64 pKa = 3.47LCLVLL69 pKa = 5.81

Molecular weight:
8.43 kDa
Isoelectric point according different methods:






Protein with the highest isoelectric point:
>tr|A0A1W0E3Q6|A0A1W0E3Q6_9MICR Uncharacterized protein OS=Enterocytozoon hepatopenaei OX=646526 GN=EHP00_1932 PE=4 SV=1
MM1 pKa = 7.34SNIFASLRR9 pKa = 11.84KK10 pKa = 9.62DD11 pKa = 3.51FKK13 pKa = 10.91KK14 pKa = 9.88RR15 pKa = 11.84TFKK18 pKa = 10.55RR19 pKa = 11.84YY20 pKa = 9.47HH21 pKa = 6.31SDD23 pKa = 2.69RR24 pKa = 11.84YY25 pKa = 9.47MRR27 pKa = 11.84VGEE30 pKa = 4.21SWRR33 pKa = 11.84KK34 pKa = 8.84PRR36 pKa = 11.84GLDD39 pKa = 2.91NRR41 pKa = 11.84VRR43 pKa = 11.84KK44 pKa = 9.72KK45 pKa = 11.1YY46 pKa = 10.59SGTPLMPNKK55 pKa = 10.12RR56 pKa = 11.84FRR58 pKa = 11.84LPAILRR64 pKa = 11.84DD65 pKa = 3.31RR66 pKa = 11.84VEE68 pKa = 4.32VVNNTNNNTNNNLNSNTNNNLNSNTNNNNTLSLRR102 pKa = 11.84EE103 pKa = 3.96CVIRR107 pKa = 11.84NVDD110 pKa = 3.67EE111 pKa = 4.78LRR113 pKa = 11.84ALSPLNLQYY122 pKa = 10.93CATIAKK128 pKa = 8.35ATGSRR133 pKa = 11.84KK134 pKa = 9.85RR135 pKa = 11.84IEE137 pKa = 4.19IVNEE141 pKa = 3.81AKK143 pKa = 10.48KK144 pKa = 11.1LNILLTNGEE153 pKa = 3.98ARR155 pKa = 11.84LALEE159 pKa = 4.3VPEE162 pKa = 4.25

Molecular weight:
18.75 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

2431

0

2431

741464

33

2789

305.0

35.53

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

3.335 ± 0.038

1.923 ± 0.023

5.192 ± 0.032

7.51 ± 0.078

5.847 ± 0.058

3.502 ± 0.037

1.748 ± 0.019

9.31 ± 0.07

10.964 ± 0.083

9.01 ± 0.05

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.295 ± 0.021

9.74 ± 0.135

1.998 ± 0.027

2.64 ± 0.031

2.865 ± 0.033

6.384 ± 0.042

5.346 ± 0.042

5.213 ± 0.038

0.488 ± 0.012

4.692 ± 0.049

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