Methylophilus sp. Leaf416

Taxonomy: cellular organisms; Bacteria; Proteobacteria; Betaproteobacteria; Nitrosomonadales; Methylophilaceae; Methylophilus; unclassified Methylophilus

Average proteome isoelectric point is 6.43

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 2672 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|A0A0Q6BQG8|A0A0Q6BQG8_9PROT NADH:ubiquinone oxidoreductase subunit L OS=Methylophilus sp. Leaf416 OX=1736373 GN=ASG34_02020 PE=3 SV=1
MM1 pKa = 7.45TGMLVMAALSPATQAAEE18 pKa = 4.73LIQNGGFEE26 pKa = 4.34SHH28 pKa = 6.47GADD31 pKa = 3.71VYY33 pKa = 11.26DD34 pKa = 3.36ITGWQVAEE42 pKa = 3.8QGFFGSVLAQTGTSTEE58 pKa = 3.94VTANNTVGAYY68 pKa = 8.97QGSYY72 pKa = 10.79YY73 pKa = 10.61GILDD77 pKa = 3.55NYY79 pKa = 10.11GNASNALFQTFNTGAVSSATLSFQMFVNNQNSTTNIDD116 pKa = 3.51AAGLDD121 pKa = 3.91YY122 pKa = 11.37SVDD125 pKa = 3.33ATDD128 pKa = 4.64NPNQHH133 pKa = 5.45VRR135 pKa = 11.84VDD137 pKa = 3.55ILKK140 pKa = 10.76AGADD144 pKa = 3.48PFSINSADD152 pKa = 3.74VVQSLYY158 pKa = 10.49IGGANGVLAANNYY171 pKa = 9.01VNYY174 pKa = 10.63SFDD177 pKa = 3.62LSASLASGGSYY188 pKa = 10.1ILRR191 pKa = 11.84FATVANQNSLQLGVDD206 pKa = 3.98NISLNTVSAVPEE218 pKa = 4.23ADD220 pKa = 3.32SVAMLLAGLGLMAGVKK236 pKa = 9.59RR237 pKa = 11.84RR238 pKa = 11.84RR239 pKa = 11.84KK240 pKa = 9.85DD241 pKa = 2.97

Molecular weight:
25.1 kDa
Isoelectric point according different methods:






Protein with the highest isoelectric point:
>tr|A0A0Q6B7Q4|A0A0Q6B7Q4_9PROT Antibiotic biosynthesis monooxygenase OS=Methylophilus sp. Leaf416 OX=1736373 GN=ASG34_11430 PE=4 SV=1
MM1 pKa = 7.35KK2 pKa = 9.43RR3 pKa = 11.84TYY5 pKa = 10.25QPSKK9 pKa = 7.79TRR11 pKa = 11.84RR12 pKa = 11.84ARR14 pKa = 11.84THH16 pKa = 5.79GFLVRR21 pKa = 11.84MKK23 pKa = 9.4TKK25 pKa = 10.36GGRR28 pKa = 11.84AVIAARR34 pKa = 11.84RR35 pKa = 11.84AKK37 pKa = 9.77GRR39 pKa = 11.84KK40 pKa = 9.07RR41 pKa = 11.84LGLL44 pKa = 3.7

Molecular weight:
5.07 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

2672

0

2672

862096

44

3349

322.6

35.66

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

9.774 ± 0.054

0.841 ± 0.014

5.205 ± 0.031

5.702 ± 0.042

3.875 ± 0.032

7.01 ± 0.048

2.415 ± 0.025

6.116 ± 0.04

5.043 ± 0.041

10.518 ± 0.062

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.612 ± 0.027

4.015 ± 0.04

4.318 ± 0.033

4.929 ± 0.047

4.827 ± 0.029

6.1 ± 0.032

5.464 ± 0.039

7.062 ± 0.038

1.305 ± 0.022

2.868 ± 0.024

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