Pseudogymnoascus sp. 24MN13

Taxonomy: cellular organisms; Eukaryota; Opisthokonta; Fungi; Dikarya; Ascomycota; saccharomyceta; Pezizomycotina; leotiomyceta; sordariomyceta; Leotiomycetes; Leotiomycetes incertae sedis; Pseudeurotiaceae; Pseudogymnoascus; unclassified Pseudogymnoascus

Average proteome isoelectric point is 6.34

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 10229 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|A0A1B8CT82|A0A1B8CT82_9PEZI Uncharacterized protein (Fragment) OS=Pseudogymnoascus sp. 24MN13 OX=1622150 GN=VE04_09972 PE=4 SV=1
MM1 pKa = 7.54SGYY4 pKa = 11.32GNDD7 pKa = 3.77NNDD10 pKa = 3.5SYY12 pKa = 11.89GSSNTRR18 pKa = 11.84GGDD21 pKa = 3.47DD22 pKa = 4.52SYY24 pKa = 12.07GSSNNDD30 pKa = 2.76SYY32 pKa = 11.96GSSNTRR38 pKa = 11.84SSGNNDD44 pKa = 2.9SYY46 pKa = 11.79GSSNTRR52 pKa = 11.84SSDD55 pKa = 3.38NNDD58 pKa = 3.12SYY60 pKa = 12.05GSSNKK65 pKa = 9.68NSNDD69 pKa = 3.2DD70 pKa = 3.71DD71 pKa = 5.25SYY73 pKa = 11.7GSSNTRR79 pKa = 11.84SSGNNNNSSDD89 pKa = 4.12SYY91 pKa = 11.61GSSNNNNNDD100 pKa = 3.11SYY102 pKa = 12.1GSGNNNSGSSTVDD115 pKa = 3.12KK116 pKa = 11.05LVDD119 pKa = 3.28KK120 pKa = 10.58ATDD123 pKa = 3.59FLGRR127 pKa = 11.84SGGNNNNNDD136 pKa = 3.15SNYY139 pKa = 10.97

Molecular weight: 14.42 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|A0A1B8DDQ3|A0A1B8DDQ3_9PEZI Uncharacterized protein OS=Pseudogymnoascus sp. 24MN13 OX=1622150 GN=VE04_02375 PE=4 SV=1
MM1 pKa = 7.56NSIAQLATRR10 pKa = 11.84SARR13 pKa = 11.84LNGGQASSIARR24 pKa = 11.84RR25 pKa = 11.84AFTNGPATSVSRR37 pKa = 11.84FQTATRR43 pKa = 11.84NNGLLMSRR51 pKa = 11.84AMLRR55 pKa = 11.84NTASNVTRR63 pKa = 11.84GQSRR67 pKa = 11.84GIVTEE72 pKa = 4.53TITIGAAVLSAGKK85 pKa = 10.22FIGAGAAAAGLIGAGTGIGTVFGALISGVARR116 pKa = 11.84NPATPWTAFLLRR128 pKa = 11.84HH129 pKa = 5.09SRR131 pKa = 11.84FRR133 pKa = 11.84LRR135 pKa = 4.15

Molecular weight: 13.86 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

10229

0

10229

4827133

51

5559

471.9

52.02

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

8.925 ± 0.02

1.193 ± 0.01

5.68 ± 0.015

6.232 ± 0.024

3.697 ± 0.014

7.166 ± 0.024

2.227 ± 0.009

5.144 ± 0.019

4.993 ± 0.021

8.779 ± 0.025

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.19 ± 0.009

3.782 ± 0.013

5.881 ± 0.022

3.823 ± 0.019

5.779 ± 0.019

8.051 ± 0.022

6.079 ± 0.016

6.155 ± 0.015

1.428 ± 0.008

2.796 ± 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