Tilletia walkeri

Taxonomy: cellular organisms; Eukaryota; Opisthokonta; Fungi; Dikarya; Basidiomycota; Ustilaginomycotina; Exobasidiomycetes; Tilletiales; Tilletiaceae; Tilletia

Average proteome isoelectric point is 6.72

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 7968 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|A0A177UBA8|A0A177UBA8_9BASI Uncharacterized protein OS=Tilletia walkeri OX=117179 GN=A4X09_g6516 PE=4 SV=1
MM1 pKa = 8.12DD2 pKa = 4.93GLINQGKK9 pKa = 8.79QFLNSEE15 pKa = 4.15QGQKK19 pKa = 10.18FVSQAEE25 pKa = 4.07QQFGGNKK32 pKa = 10.17NNDD35 pKa = 3.48NNNNSSSGGFGSSGNNEE52 pKa = 4.01DD53 pKa = 4.5SYY55 pKa = 12.03GSSGNNNNNNTSSFGSSGNSGSDD78 pKa = 3.28SYY80 pKa = 11.84GSSGNSGFDD89 pKa = 3.34SYY91 pKa = 11.93GSSGNNNSSSGNNASDD107 pKa = 4.03SYY109 pKa = 11.33GSSGNSGSDD118 pKa = 3.28SYY120 pKa = 11.79GSSGNTGSDD129 pKa = 3.44SYY131 pKa = 11.81GSSGNNNRR139 pKa = 11.84RR140 pKa = 11.84GDD142 pKa = 3.76NDD144 pKa = 3.25NSDD147 pKa = 4.16SYY149 pKa = 11.84GSSGNNNSSSGNNASDD165 pKa = 3.62SYY167 pKa = 11.81GG168 pKa = 3.25

Molecular weight:
16.72 kDa
Isoelectric point according different methods:






Protein with the highest isoelectric point:
>tr|A0A177UMI8|A0A177UMI8_9BASI Uncharacterized protein OS=Tilletia walkeri OX=117179 GN=A4X09_g4055 PE=4 SV=1
MM1 pKa = 7.48SLLSSRR7 pKa = 11.84IFTATARR14 pKa = 11.84TAAAAMASAKK24 pKa = 9.81PLSRR28 pKa = 11.84SLCSSHH34 pKa = 4.68TTSRR38 pKa = 11.84TRR40 pKa = 11.84PTATSSSSLLLHH52 pKa = 6.69LSPSASSAPFSSAAVRR68 pKa = 11.84LGSSGSLGGGKK79 pKa = 10.2LKK81 pKa = 9.23THH83 pKa = 6.87MGTKK87 pKa = 9.91KK88 pKa = 10.18RR89 pKa = 11.84FFPVGSVVGMFKK101 pKa = 10.41RR102 pKa = 11.84GRR104 pKa = 11.84AGKK107 pKa = 9.42SHH109 pKa = 7.01LNSHH113 pKa = 6.5MSSIRR118 pKa = 11.84RR119 pKa = 11.84SRR121 pKa = 11.84LRR123 pKa = 11.84GMTITPPGQTARR135 pKa = 11.84HH136 pKa = 6.29LKK138 pKa = 10.33RR139 pKa = 11.84LLGPILL145 pKa = 3.78

Molecular weight:
15.19 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

7968

0

7968

4572796

22

5335

573.9

61.97

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

10.613 ± 0.035

0.897 ± 0.01

5.52 ± 0.022

5.806 ± 0.027

3.141 ± 0.015

7.897 ± 0.037

2.359 ± 0.013

3.951 ± 0.019

4.159 ± 0.023

8.573 ± 0.032

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

1.919 ± 0.009

3.152 ± 0.014

6.452 ± 0.027

4.178 ± 0.023

6.459 ± 0.023

9.928 ± 0.039

6.04 ± 0.021

5.736 ± 0.019

1.14 ± 0.008

2.074 ± 0.012

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