Friedmanniomyces simplex

Taxonomy: cellular organisms; Eukaryota; Opisthokonta; Fungi; Dikarya; Ascomycota; saccharomyceta; Pezizomycotina; leotiomyceta; dothideomyceta; Dothideomycetes; Dothideomycetidae; Mycosphaerellales; Teratosphaeriaceae; Friedmanniomyces

Average proteome isoelectric point is 6.38

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 13631 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|A0A4V5NC47|A0A4V5NC47_9PEZI Uncharacterized protein (Fragment) OS=Friedmanniomyces simplex OX=329884 GN=B0A55_12462 PE=4 SV=1
AA1 pKa = 7.42GLVGGLEE8 pKa = 4.21VRR10 pKa = 11.84PVTYY14 pKa = 10.62LGPYY18 pKa = 8.91NSLYY22 pKa = 10.93FNLNALDD29 pKa = 3.81VGNGLAGVKK38 pKa = 9.3PQSAPNVVAFDD49 pKa = 5.05AIAAATEE56 pKa = 4.2GDD58 pKa = 3.92PSILADD64 pKa = 4.16FDD66 pKa = 5.03DD67 pKa = 4.11STVDD71 pKa = 3.48SFNLQSFYY79 pKa = 10.83FGCVVANAEE88 pKa = 4.25TAASVPVDD96 pKa = 3.42CSITITGYY104 pKa = 10.29RR105 pKa = 11.84NGGEE109 pKa = 4.31VASQDD114 pKa = 3.23ADD116 pKa = 3.64FTTGSLLTLVANMDD130 pKa = 3.62KK131 pKa = 9.94VTLSSEE137 pKa = 3.95FSNVDD142 pKa = 2.91KK143 pKa = 10.91VTFAIDD149 pKa = 3.53GVLDD153 pKa = 3.67STLDD157 pKa = 3.31AVLFDD162 pKa = 3.49NFAYY166 pKa = 10.31DD167 pKa = 3.4VTLKK171 pKa = 10.51QGYY174 pKa = 9.84SSFKK178 pKa = 10.65AA179 pKa = 3.42

Molecular weight: 18.7 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|A0A4U0VAI0|A0A4U0VAI0_9PEZI Uncharacterized protein (Fragment) OS=Friedmanniomyces simplex OX=329884 GN=B0A55_13000 PE=4 SV=1
TT1 pKa = 5.52SHH3 pKa = 7.09RR4 pKa = 11.84SKK6 pKa = 11.0RR7 pKa = 11.84LATLTTRR14 pKa = 11.84ALDD17 pKa = 3.71RR18 pKa = 11.84ASTRR22 pKa = 11.84HH23 pKa = 3.93STGRR27 pKa = 11.84LATRR31 pKa = 11.84TLARR35 pKa = 11.84RR36 pKa = 11.84IGRR39 pKa = 11.84PRR41 pKa = 11.84TARR44 pKa = 11.84DD45 pKa = 3.31TSPASHH51 pKa = 6.77ASIAGSSMSSRR62 pKa = 11.84SKK64 pKa = 11.07

Molecular weight: 6.93 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

13631

0

13631

6101469

50

6635

447.6

49.19

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

9.683 ± 0.02

1.113 ± 0.006

5.664 ± 0.016

6.461 ± 0.022

3.361 ± 0.012

7.639 ± 0.02

2.419 ± 0.01

4.126 ± 0.013

4.564 ± 0.019

8.636 ± 0.022

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.272 ± 0.009

3.278 ± 0.012

6.12 ± 0.022

4.249 ± 0.019

6.377 ± 0.021

7.654 ± 0.025

6.066 ± 0.016

6.222 ± 0.015

1.395 ± 0.008

2.701 ± 0.011
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