Methylomonas sp. LWB

Taxonomy: cellular organisms; Bacteria; Proteobacteria; Gammaproteobacteria; Methylococcales; Methylococcaceae; Methylomonas; unclassified Methylomonas

Average proteome isoelectric point is 6.26

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 4433 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|A0A1S1YAI8|A0A1S1YAI8_9GAMM Succinate--CoA ligase [ADP-forming] subunit beta OS=Methylomonas sp. LWB OX=1905845 GN=sucC PE=3 SV=1
MM1 pKa = 7.04VADD4 pKa = 4.51EE5 pKa = 4.64ACILTHH11 pKa = 7.73DD12 pKa = 4.49EE13 pKa = 4.89DD14 pKa = 5.4INMKK18 pKa = 7.8TQLYY22 pKa = 9.78AAILSGCLIGGPAGAADD39 pKa = 4.5FDD41 pKa = 4.38FAGNFSRR48 pKa = 11.84DD49 pKa = 3.27NSVVRR54 pKa = 11.84FDD56 pKa = 5.09FSIANPGNVTLFTSSWLTGGFDD78 pKa = 5.58PILTLWDD85 pKa = 3.55AGGQLLAEE93 pKa = 4.29QDD95 pKa = 3.79DD96 pKa = 4.76GNGGGVAFSNGVPLSYY112 pKa = 11.49GEE114 pKa = 4.02FDD116 pKa = 4.88SYY118 pKa = 11.37LTTNLVAGDD127 pKa = 4.18YY128 pKa = 10.57IATLTQYY135 pKa = 11.81DD136 pKa = 3.8NFAVSSALADD146 pKa = 3.74GFLRR150 pKa = 11.84DD151 pKa = 3.59ADD153 pKa = 3.55PWFTQVFGCGNAQFCEE169 pKa = 4.47GSLVDD174 pKa = 4.49GNGDD178 pKa = 3.34LVDD181 pKa = 4.47ANRR184 pKa = 11.84TSAWDD189 pKa = 3.37FHH191 pKa = 7.97IVGVDD196 pKa = 3.16AAQAATVPEE205 pKa = 5.01PPTAMLLLASAMFFGLGRR223 pKa = 11.84WAQPRR228 pKa = 11.84NRR230 pKa = 11.84GGMTSAIVV238 pKa = 3.07

Molecular weight:
25.07 kDa
Isoelectric point according different methods:






Protein with the highest isoelectric point:
>tr|A0A1S1Y563|A0A1S1Y563_9GAMM Histidine ammonia-lyase OS=Methylomonas sp. LWB OX=1905845 GN=BJL95_00075 PE=4 SV=1
MM1 pKa = 7.35KK2 pKa = 9.43RR3 pKa = 11.84TYY5 pKa = 10.17QPSKK9 pKa = 8.35IKK11 pKa = 10.26RR12 pKa = 11.84VRR14 pKa = 11.84THH16 pKa = 5.81GFRR19 pKa = 11.84ARR21 pKa = 11.84MATVGGRR28 pKa = 11.84KK29 pKa = 9.07VLNARR34 pKa = 11.84RR35 pKa = 11.84AKK37 pKa = 10.24GRR39 pKa = 11.84ASLTVV44 pKa = 3.04

Molecular weight:
5.01 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

4433

0

4433

1481426

29

3727

334.2

36.79

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

10.807 ± 0.048

1.014 ± 0.013

5.794 ± 0.031

5.655 ± 0.042

3.935 ± 0.024

7.623 ± 0.057

2.195 ± 0.018

5.407 ± 0.03

4.074 ± 0.034

10.991 ± 0.046

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.115 ± 0.02

3.643 ± 0.031

4.579 ± 0.029

4.299 ± 0.026

5.985 ± 0.036

5.798 ± 0.033

5.024 ± 0.04

6.772 ± 0.03

1.394 ± 0.019

2.897 ± 0.022

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