Altererythrobacter sp. BO-6

Taxonomy: cellular organisms; Bacteria; Proteobacteria; Alphaproteobacteria; Sphingomonadales; Erythrobacteraceae; Altererythrobacter; unclassified Altererythrobacter

Average proteome isoelectric point is 6.02

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 2774 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|A0A6G6X880|A0A6G6X880_9SPHN ABM domain-containing protein OS=Altererythrobacter sp. BO-6 OX=2604537 GN=G6N82_05930 PE=4 SV=1
MM1 pKa = 8.03KK2 pKa = 10.1IRR4 pKa = 11.84DD5 pKa = 3.63FAIVSVAAACLISCGNEE22 pKa = 3.64VAEE25 pKa = 4.72VATEE29 pKa = 3.83KK30 pKa = 11.05DD31 pKa = 3.39GAEE34 pKa = 4.08NEE36 pKa = 4.12AATANTIQTTAAMEE50 pKa = 4.64AGSGVYY56 pKa = 10.53GLDD59 pKa = 3.68CEE61 pKa = 5.12AEE63 pKa = 4.02TGRR66 pKa = 11.84YY67 pKa = 8.97EE68 pKa = 4.39IILNKK73 pKa = 10.35SEE75 pKa = 4.72DD76 pKa = 4.06GFVSAQVTDD85 pKa = 3.59DD86 pKa = 3.35SGRR89 pKa = 11.84FEE91 pKa = 5.82DD92 pKa = 5.5LLTSYY97 pKa = 11.01SYY99 pKa = 10.67MGDD102 pKa = 3.21ATPADD107 pKa = 4.01FLIAIMFDD115 pKa = 3.4PTNAPVPDD123 pKa = 4.39AEE125 pKa = 4.89DD126 pKa = 3.45PRR128 pKa = 11.84IEE130 pKa = 3.65IWKK133 pKa = 10.28GEE135 pKa = 3.8NAYY138 pKa = 10.68YY139 pKa = 11.1GLVNGNRR146 pKa = 11.84DD147 pKa = 3.18EE148 pKa = 4.62RR149 pKa = 11.84LDD151 pKa = 3.53YY152 pKa = 11.17CADD155 pKa = 3.26VSGG158 pKa = 4.13

Molecular weight: 16.92 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|A0A6G6XD35|A0A6G6XD35_9SPHN S1/P1 nuclease OS=Altererythrobacter sp. BO-6 OX=2604537 GN=G6N82_06700 PE=4 SV=1
MM1 pKa = 7.45KK2 pKa = 9.61RR3 pKa = 11.84TFQPSNLVRR12 pKa = 11.84ARR14 pKa = 11.84RR15 pKa = 11.84HH16 pKa = 4.89GFFARR21 pKa = 11.84KK22 pKa = 7.42ATPGGRR28 pKa = 11.84KK29 pKa = 8.06VLRR32 pKa = 11.84ARR34 pKa = 11.84RR35 pKa = 11.84KK36 pKa = 8.8RR37 pKa = 11.84GRR39 pKa = 11.84KK40 pKa = 8.46NLCAA44 pKa = 4.54

Molecular weight: 5.15 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

2774

0

2774

866373

38

3547

312.3

33.92

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

12.578 ± 0.064

0.847 ± 0.015

5.951 ± 0.044

6.291 ± 0.048

3.761 ± 0.032

8.85 ± 0.042

2.005 ± 0.023

5.147 ± 0.034

3.279 ± 0.039

9.807 ± 0.053

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.519 ± 0.026

2.703 ± 0.036

5.157 ± 0.034

3.277 ± 0.025

6.805 ± 0.05

5.286 ± 0.034

5.022 ± 0.051

6.933 ± 0.037

1.475 ± 0.02

2.307 ± 0.024
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