Microbacterium humi

Taxonomy: cellular organisms; Bacteria; Terrabacteria group; Actinobacteria; Actinomycetia; Micrococcales; Microbacteriaceae; Microbacterium

Average proteome isoelectric point is 6.04

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 3206 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|A0A1H4PLV1|A0A1H4PLV1_9MICO 3' 5'-cyclic adenosine monophosphate phosphodiesterase CpdA OS=Microbacterium humi OX=640635 GN=cpdA PE=3 SV=1
MM1 pKa = 7.31ARR3 pKa = 11.84VRR5 pKa = 11.84SHH7 pKa = 6.91PAVALLVAGVLTLGLAACADD27 pKa = 3.69ATDD30 pKa = 4.74PPRR33 pKa = 11.84SPAPSASDD41 pKa = 3.51TPPASPSPTPSEE53 pKa = 3.86TAADD57 pKa = 4.21GVEE60 pKa = 4.17GWTVTPDD67 pKa = 3.82GIGPFQIGMRR77 pKa = 11.84YY78 pKa = 9.43VDD80 pKa = 4.93ALTAHH85 pKa = 7.12DD86 pKa = 3.83VTVAEE91 pKa = 4.49TCTGVASVDD100 pKa = 3.49TGGSDD105 pKa = 2.99VDD107 pKa = 3.36MWLVATGQDD116 pKa = 3.5PQGTVSEE123 pKa = 4.33ITVSVMADD131 pKa = 3.34TAAEE135 pKa = 4.09HH136 pKa = 6.92AGTGPLTDD144 pKa = 3.4TGIGLGSSVKK154 pKa = 9.85EE155 pKa = 4.06LEE157 pKa = 3.94AAYY160 pKa = 9.8PDD162 pKa = 4.15ARR164 pKa = 11.84EE165 pKa = 4.48LDD167 pKa = 3.85DD168 pKa = 3.71TQAPNRR174 pKa = 11.84SMYY177 pKa = 10.19YY178 pKa = 9.22VQSDD182 pKa = 3.5TGGGLIFTTASGADD196 pKa = 4.01VIWSISVTTGEE207 pKa = 4.31TPVYY211 pKa = 9.45EE212 pKa = 4.41PCAA215 pKa = 3.79

Molecular weight: 21.74 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|A0A1H4K212|A0A1H4K212_9MICO Uncharacterized protein OS=Microbacterium humi OX=640635 GN=SAMN04489806_0961 PE=4 SV=1
MM1 pKa = 7.4GSVIKK6 pKa = 10.42KK7 pKa = 8.47RR8 pKa = 11.84RR9 pKa = 11.84KK10 pKa = 9.22RR11 pKa = 11.84MAKK14 pKa = 9.41KK15 pKa = 9.87KK16 pKa = 9.7HH17 pKa = 5.84RR18 pKa = 11.84KK19 pKa = 8.56LLRR22 pKa = 11.84KK23 pKa = 7.78TRR25 pKa = 11.84HH26 pKa = 3.65QRR28 pKa = 11.84RR29 pKa = 11.84NKK31 pKa = 9.78KK32 pKa = 9.85

Molecular weight: 4.08 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

3206

0

3206

1016218

29

1781

317.0

34.07

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

12.935 ± 0.063

0.552 ± 0.011

6.246 ± 0.042

5.747 ± 0.045

3.207 ± 0.027

8.608 ± 0.033

2.026 ± 0.021

4.833 ± 0.032

2.345 ± 0.031

10.083 ± 0.046

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

1.895 ± 0.016

2.191 ± 0.024

5.097 ± 0.024

2.826 ± 0.021

7.15 ± 0.048

6.003 ± 0.032

5.975 ± 0.03

8.76 ± 0.034

1.462 ± 0.02

2.059 ± 0.021
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