Aeromicrobium sp. Root472D3

Taxonomy: cellular organisms; Bacteria; Terrabacteria group; Actinobacteria; Actinomycetia; Propionibacteriales; Nocardioidaceae; Aeromicrobium; unclassified Aeromicrobium

Average proteome isoelectric point is 5.87

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 3523 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|A0A0Q7JXN7|A0A0Q7JXN7_9ACTN Uncharacterized protein OS=Aeromicrobium sp. Root472D3 OX=1736540 GN=ASD10_17240 PE=4 SV=1
MM1 pKa = 7.13ITTLAACGGSDD12 pKa = 4.13GGGSDD17 pKa = 3.83GASAADD23 pKa = 3.61PAATSQAPSATDD35 pKa = 3.42SPGAAADD42 pKa = 4.11GTCTYY47 pKa = 10.68TEE49 pKa = 3.89TDD51 pKa = 3.49EE52 pKa = 4.71PGKK55 pKa = 10.66KK56 pKa = 8.68ATLPPATPTSLDD68 pKa = 3.33EE69 pKa = 4.19VTITTNRR76 pKa = 11.84GVIKK80 pKa = 10.72ASLTPDD86 pKa = 3.35SAPCTVSSFASLAQQGYY103 pKa = 10.09FDD105 pKa = 3.54GTKK108 pKa = 9.91CHH110 pKa = 6.59RR111 pKa = 11.84LVPGFVLQCGDD122 pKa = 4.02PSATGQGGPGYY133 pKa = 10.49AFPDD137 pKa = 3.67EE138 pKa = 4.31LTGQEE143 pKa = 4.34TYY145 pKa = 10.36PAGTLAMANAGPDD158 pKa = 3.6TNGSQFFIVLADD170 pKa = 3.69ADD172 pKa = 4.76LPPSYY177 pKa = 10.03TVFGTVDD184 pKa = 3.01AAGLKK189 pKa = 9.52VAQQIEE195 pKa = 4.27ADD197 pKa = 3.83GVGADD202 pKa = 4.07GTAPAQDD209 pKa = 4.05VILEE213 pKa = 4.38SVSS216 pKa = 3.19

Molecular weight: 21.31 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|A0A0Q7KGP3|A0A0Q7KGP3_9ACTN Pyruvate dehydrogenase E1 component OS=Aeromicrobium sp. Root472D3 OX=1736540 GN=ASD10_09295 PE=4 SV=1
MM1 pKa = 7.69SKK3 pKa = 9.0RR4 pKa = 11.84TFQPNNRR11 pKa = 11.84RR12 pKa = 11.84RR13 pKa = 11.84AKK15 pKa = 9.97KK16 pKa = 9.33HH17 pKa = 4.25GFRR20 pKa = 11.84LRR22 pKa = 11.84MRR24 pKa = 11.84TRR26 pKa = 11.84AGRR29 pKa = 11.84AILADD34 pKa = 3.74RR35 pKa = 11.84RR36 pKa = 11.84RR37 pKa = 11.84KK38 pKa = 9.84GRR40 pKa = 11.84AKK42 pKa = 10.68LSAA45 pKa = 3.92

Molecular weight: 5.38 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

3523

0

3523

1115088

37

3428

316.5

33.83

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

12.907 ± 0.054

0.637 ± 0.01

6.944 ± 0.037

5.34 ± 0.039

2.903 ± 0.024

9.066 ± 0.041

2.155 ± 0.023

3.866 ± 0.029

2.097 ± 0.034

9.844 ± 0.043

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

1.883 ± 0.015

1.734 ± 0.021

5.246 ± 0.03

2.719 ± 0.021

7.343 ± 0.044

5.693 ± 0.033

6.486 ± 0.04

9.792 ± 0.04

1.424 ± 0.016

1.918 ± 0.018
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