Marinomonas sp. HB171799

Taxonomy: cellular organisms; Bacteria; Proteobacteria; Gammaproteobacteria; Oceanospirillales; Oceanospirillaceae; Maribrevibacterium

Average proteome isoelectric point is 6.06

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 3326 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|A0A501WLA9|A0A501WLA9_9GAMM 4-hydroxy-4-methyl-2-oxoglutarate aldolase OS=Marinomonas sp. HB171799 OX=2589817 GN=FJM67_12330 PE=3 SV=1
MM1 pKa = 7.18NKK3 pKa = 9.75VGIFYY8 pKa = 8.27GTDD11 pKa = 3.12TNNTEE16 pKa = 3.96MVAGKK21 pKa = 9.4IQMQLSEE28 pKa = 4.62LGIEE32 pKa = 4.17AEE34 pKa = 4.06MHH36 pKa = 5.83NVVDD40 pKa = 4.25IPIATMLSYY49 pKa = 9.7DD50 pKa = 3.95TLILGIPTWDD60 pKa = 3.4FGGIQADD67 pKa = 3.95WEE69 pKa = 4.41DD70 pKa = 3.84LAHH73 pKa = 7.33EE74 pKa = 4.55LTQLNLSGKK83 pKa = 9.39IVALYY88 pKa = 10.92GLGDD92 pKa = 3.4QFGYY96 pKa = 11.19GDD98 pKa = 4.1YY99 pKa = 10.82FVDD102 pKa = 3.74AMGWLYY108 pKa = 10.71EE109 pKa = 4.06QLKK112 pKa = 8.63STGAVFVGAWSTEE125 pKa = 3.96GYY127 pKa = 10.66DD128 pKa = 3.94FEE130 pKa = 6.07ASRR133 pKa = 11.84ACNSDD138 pKa = 2.42KK139 pKa = 11.56SEE141 pKa = 4.01FVGLAIDD148 pKa = 4.29EE149 pKa = 4.59DD150 pKa = 4.06QQFDD154 pKa = 3.8LTDD157 pKa = 3.22QRR159 pKa = 11.84IEE161 pKa = 3.58QWVIQVYY168 pKa = 10.34AEE170 pKa = 4.16HH171 pKa = 6.9AALAAA176 pKa = 4.23

Molecular weight:
19.52 kDa
Isoelectric point according different methods:






Protein with the highest isoelectric point:
>tr|A0A501X448|A0A501X448_9GAMM Phosphate import ATP-binding protein PstB OS=Marinomonas sp. HB171799 OX=2589817 GN=pstB PE=3 SV=1
MM1 pKa = 7.45KK2 pKa = 9.51RR3 pKa = 11.84TFQPSVLKK11 pKa = 10.49RR12 pKa = 11.84KK13 pKa = 7.97RR14 pKa = 11.84THH16 pKa = 5.89GFRR19 pKa = 11.84ARR21 pKa = 11.84MATKK25 pKa = 10.37NGRR28 pKa = 11.84KK29 pKa = 9.16VLAARR34 pKa = 11.84RR35 pKa = 11.84ARR37 pKa = 11.84GRR39 pKa = 11.84KK40 pKa = 8.97VLSAA44 pKa = 4.11

Molecular weight:
5.09 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

3326

0

3326

1073541

28

8122

322.8

35.76

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

9.374 ± 0.048

0.987 ± 0.016

5.543 ± 0.045

6.229 ± 0.043

3.977 ± 0.032

7.028 ± 0.04

2.284 ± 0.027

5.944 ± 0.028

4.53 ± 0.039

10.697 ± 0.06

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.538 ± 0.026

3.737 ± 0.036

4.144 ± 0.027

4.801 ± 0.041

5.176 ± 0.048

6.227 ± 0.042

5.37 ± 0.087

7.208 ± 0.041

1.3 ± 0.018

2.905 ± 0.023

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