Cryptosporidium muris (strain RN66)

Taxonomy: cellular organisms; Eukaryota; Sar; Alveolata; Apicomplexa; Conoidasida; Coccidia; Eucoccidiorida; Eimeriorina; Cryptosporidiidae; Cryptosporidium; Cryptosporidium muris

Average proteome isoelectric point is 6.6

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 3930 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|B6A9L9|B6A9L9_CRYMR PITH domain-containing protein OS=Cryptosporidium muris (strain RN66) OX=441375 GN=CMU_039790 PE=4 SV=1
MM1 pKa = 7.41AAVPLSQLSTVHH13 pKa = 5.6VQEE16 pKa = 4.89LMCSYY21 pKa = 11.26ASLILADD28 pKa = 4.18EE29 pKa = 4.82DD30 pKa = 4.5LPVTSDD36 pKa = 3.88HH37 pKa = 6.25IKK39 pKa = 10.86KK40 pKa = 10.59LITAAGATVEE50 pKa = 4.35PYY52 pKa = 10.94YY53 pKa = 10.33PGLFAQALSTVSVSDD68 pKa = 3.44IVSSCGSAATASPGVCQAAASTGAAAPVEE97 pKa = 4.5VKK99 pKa = 10.54KK100 pKa = 11.06EE101 pKa = 3.8EE102 pKa = 4.21SEE104 pKa = 4.18EE105 pKa = 4.09EE106 pKa = 4.15EE107 pKa = 4.25EE108 pKa = 4.49GDD110 pKa = 4.66LGFSLFDD117 pKa = 3.47

Molecular weight: 11.99 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|B6AI38|B6AI38_CRYMR Uncharacterized protein OS=Cryptosporidium muris (strain RN66) OX=441375 GN=CMU_029540 PE=3 SV=1
MM1 pKa = 7.75SIGIPVKK8 pKa = 10.16ILYY11 pKa = 9.2EE12 pKa = 4.09GLGHH16 pKa = 7.34IISIEE21 pKa = 4.08MKK23 pKa = 10.66SGDD26 pKa = 4.13LYY28 pKa = 11.01RR29 pKa = 11.84GTLAHH34 pKa = 6.77VEE36 pKa = 4.21DD37 pKa = 5.12NMNCMLDD44 pKa = 3.78TVNVTMKK51 pKa = 10.51DD52 pKa = 3.53GRR54 pKa = 11.84PLALEE59 pKa = 3.69QCYY62 pKa = 10.48LRR64 pKa = 11.84GSQIRR69 pKa = 11.84FFILPDD75 pKa = 3.44MLKK78 pKa = 9.84NAPMFKK84 pKa = 10.33LAANAKK90 pKa = 8.78NRR92 pKa = 11.84ARR94 pKa = 11.84ILGVAGNKK102 pKa = 9.42RR103 pKa = 11.84AFANRR108 pKa = 11.84TSVRR112 pKa = 11.84ARR114 pKa = 11.84GRR116 pKa = 11.84GRR118 pKa = 11.84SSRR121 pKa = 11.84IPVAQQ126 pKa = 3.39

Molecular weight: 13.98 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

3930

0

3930

2303500

51

13728

586.1

67.19

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

3.447 ± 0.032

1.986 ± 0.018

5.393 ± 0.023

6.2 ± 0.037

4.396 ± 0.026

4.133 ± 0.031

1.917 ± 0.014

9.636 ± 0.036

7.266 ± 0.047

10.078 ± 0.04

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

1.863 ± 0.011

7.93 ± 0.047

3.607 ± 0.032

3.548 ± 0.02

4.003 ± 0.026

9.381 ± 0.035

5.23 ± 0.033

4.625 ± 0.027

1.009 ± 0.01

4.352 ± 0.022
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