Microbacterium kyungheense

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

Average proteome isoelectric point is 5.91

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 3787 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|A0A543F2C1|A0A543F2C1_9MICO DNA-binding PadR family transcriptional regulator OS=Microbacterium kyungheense OX=1263636 GN=FB391_2035 PE=4 SV=1
MM1 pKa = 7.5PANRR5 pKa = 11.84LLGTVAVLALSALALTACAGSPEE28 pKa = 4.55ANPDD32 pKa = 3.43PTTSSVPTTAAPEE45 pKa = 4.21PSASAAPEE53 pKa = 4.04PTADD57 pKa = 4.17AAPTCEE63 pKa = 3.97TLISDD68 pKa = 4.42SLVADD73 pKa = 3.74YY74 pKa = 11.27EE75 pKa = 4.65KK76 pKa = 10.66IGVTAQEE83 pKa = 4.36SPFYY87 pKa = 10.46IAGQAIEE94 pKa = 4.49GGLRR98 pKa = 11.84CMWANFDD105 pKa = 4.24QPAGDD110 pKa = 3.63SGQIYY115 pKa = 9.9GWAKK119 pKa = 10.3MSDD122 pKa = 3.49ADD124 pKa = 5.34ADD126 pKa = 3.94AAQQALLAEE135 pKa = 4.53GWVRR139 pKa = 11.84EE140 pKa = 4.07DD141 pKa = 3.44AADD144 pKa = 3.62GGVYY148 pKa = 8.58ITEE151 pKa = 4.16SHH153 pKa = 6.7DD154 pKa = 3.5TAIVTDD160 pKa = 3.87DD161 pKa = 3.47EE162 pKa = 5.56GYY164 pKa = 11.44GMTYY168 pKa = 10.59LFAAGQVTVADD179 pKa = 4.34TKK181 pKa = 11.0QGLLLIEE188 pKa = 4.16WPKK191 pKa = 11.24AA192 pKa = 3.39

Molecular weight:
19.77 kDa
Isoelectric point according different methods:






Protein with the highest isoelectric point:
>tr|A0A543EAU7|A0A543EAU7_9MICO Two-component system sensor histidine kinase DesK OS=Microbacterium kyungheense OX=1263636 GN=FB391_3852 PE=4 SV=1
MM1 pKa = 7.69SKK3 pKa = 9.0RR4 pKa = 11.84TFQPNNRR11 pKa = 11.84RR12 pKa = 11.84RR13 pKa = 11.84AKK15 pKa = 10.04KK16 pKa = 8.86HH17 pKa = 4.36GFRR20 pKa = 11.84ARR22 pKa = 11.84MRR24 pKa = 11.84TRR26 pKa = 11.84AGRR29 pKa = 11.84SILSARR35 pKa = 11.84RR36 pKa = 11.84AKK38 pKa = 10.56GRR40 pKa = 11.84TEE42 pKa = 4.14LSAA45 pKa = 4.86

Molecular weight:
5.27 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

3787

0

3787

1287887

26

10898

340.1

36.28

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

14.159 ± 0.09

0.467 ± 0.01

6.595 ± 0.04

5.423 ± 0.045

3.126 ± 0.026

9.062 ± 0.054

1.951 ± 0.018

4.278 ± 0.027

1.734 ± 0.028

9.883 ± 0.057

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

1.705 ± 0.019

1.811 ± 0.023

5.589 ± 0.035

2.68 ± 0.022

7.31 ± 0.064

5.318 ± 0.04

6.09 ± 0.062

9.155 ± 0.038

1.636 ± 0.02

2.028 ± 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