Mucilaginibacter gotjawali

Taxonomy: cellular organisms; Bacteria; FCB group; Bacteroidetes/Chlorobi group; Bacteroidetes; Sphingobacteriia; Sphingobacteriales; Sphingobacteriaceae; Mucilaginibacter

Average proteome isoelectric point is 6.86

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 4446 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|A0A0X8X3A2|A0A0X8X3A2_9SPHI Lipid II flippase FtsW OS=Mucilaginibacter gotjawali OX=1550579 GN=ftsW_1 PE=4 SV=1
MM1 pKa = 7.94AEE3 pKa = 5.03DD4 pKa = 3.83NTDD7 pKa = 3.9DD8 pKa = 4.87PLDD11 pKa = 4.45FINNSSGEE19 pKa = 4.34LPDD22 pKa = 5.71GIPPDD27 pKa = 4.05LVKK30 pKa = 11.03LLLNEE35 pKa = 3.92IVRR38 pKa = 11.84VKK40 pKa = 10.69EE41 pKa = 3.76LIKK44 pKa = 10.96YY45 pKa = 9.9YY46 pKa = 10.77DD47 pKa = 5.18AIPDD51 pKa = 3.72GAGQLGSSILNEE63 pKa = 4.4LVTEE67 pKa = 5.17AYY69 pKa = 10.39NSLVNYY75 pKa = 10.16DD76 pKa = 3.53VVLMEE81 pKa = 5.3KK82 pKa = 10.66YY83 pKa = 10.07YY84 pKa = 11.42ALLQNCDD91 pKa = 3.05

Molecular weight:
10.12 kDa
Isoelectric point according different methods:






Protein with the highest isoelectric point:
>tr|A0A110B2I4|A0A110B2I4_9SPHI Uncharacterized protein OS=Mucilaginibacter gotjawali OX=1550579 GN=MgSA37_01776 PE=4 SV=1
MM1 pKa = 7.4NSSEE5 pKa = 3.74IAFFIGLFGSAHH17 pKa = 5.89CVGMCGPLALAVPSFQTRR35 pKa = 11.84WWLVVADD42 pKa = 4.01KK43 pKa = 11.0LVYY46 pKa = 10.42NLGRR50 pKa = 11.84VITYY54 pKa = 7.49TFLGFLIGFIGRR66 pKa = 11.84QLWLSGLQQGISLLSGIFILMAGFSRR92 pKa = 11.84IFKK95 pKa = 10.4LRR97 pKa = 11.84LSDD100 pKa = 3.99GEE102 pKa = 4.66FMAKK106 pKa = 8.9MLAPFNRR113 pKa = 11.84LLNYY117 pKa = 10.31ALRR120 pKa = 11.84HH121 pKa = 5.15RR122 pKa = 11.84AGNLVVGLLNGFLPCGFVYY141 pKa = 10.5LALAGAINAGSPLTSAQFMFWFGMGTFPLMLIATVSTGFMGPAIRR186 pKa = 11.84RR187 pKa = 11.84RR188 pKa = 11.84INKK191 pKa = 7.26TIPYY195 pKa = 9.88FMIFLGFWFLLRR207 pKa = 11.84GLQLNIPYY215 pKa = 10.42LSPAVFNPATGVCRR229 pKa = 3.89

Molecular weight:
25.31 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

4446

0

4446

1441222

29

3222

324.2

36.23

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

7.708 ± 0.039

0.844 ± 0.012

5.412 ± 0.028

5.229 ± 0.052

5.012 ± 0.031

6.992 ± 0.041

1.91 ± 0.018

7.423 ± 0.038

6.918 ± 0.036

9.392 ± 0.036

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.287 ± 0.019

5.702 ± 0.038

4.015 ± 0.024

3.562 ± 0.023

3.693 ± 0.029

6.224 ± 0.04

5.926 ± 0.055

6.375 ± 0.032

1.188 ± 0.017

4.189 ± 0.025

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