Alcaligenes sp. EGD-AK7

Taxonomy: cellular organisms; Bacteria; Proteobacteria; Betaproteobacteria; Burkholderiales; Alcaligenaceae; Alcaligenes; unclassified Alcaligenes

Average proteome isoelectric point is 6.45

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 3984 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|U7U7L0|U7U7L0_9BURK Protoheme IX farnesyltransferase OS=Alcaligenes sp. EGD-AK7 OX=1386079 GN=ctaB PE=3 SV=1
MM1 pKa = 7.6TEE3 pKa = 4.14TEE5 pKa = 4.48RR6 pKa = 11.84LSQLTRR12 pKa = 11.84LLNLLTGFDD21 pKa = 3.85QKK23 pKa = 11.07EE24 pKa = 3.65QDD26 pKa = 3.19IAAISQSVLTASASPTAMGEE46 pKa = 4.11AYY48 pKa = 9.91GKK50 pKa = 9.69HH51 pKa = 5.32AQNLMEE57 pKa = 5.56HH58 pKa = 7.04DD59 pKa = 4.09PDD61 pKa = 4.09GALILAISYY70 pKa = 10.24EE71 pKa = 4.06LDD73 pKa = 4.2DD74 pKa = 4.44YY75 pKa = 11.66LALADD80 pKa = 4.26TVDD83 pKa = 4.01EE84 pKa = 4.23LWEE87 pKa = 4.57EE88 pKa = 3.63ILAAFEE94 pKa = 4.5SQDD97 pKa = 3.95LPAFPYY103 pKa = 11.02DD104 pKa = 4.29DD105 pKa = 4.83MPFQDD110 pKa = 3.62VDD112 pKa = 5.52GFFQWANEE120 pKa = 3.93QLQEE124 pKa = 4.05FHH126 pKa = 7.32PSYY129 pKa = 10.93CLLEE133 pKa = 4.18FAQSYY138 pKa = 11.01DD139 pKa = 3.46EE140 pKa = 4.33EE141 pKa = 4.32FQLIVVKK148 pKa = 10.72RR149 pKa = 11.84EE150 pKa = 3.69NLEE153 pKa = 4.49EE154 pKa = 4.04ILSLCEE160 pKa = 4.16KK161 pKa = 10.52LDD163 pKa = 3.7IPAQPAEE170 pKa = 4.05

Molecular weight: 19.29 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|U1ZRD6|U1ZRD6_9BURK Ferric uptake regulation protein OS=Alcaligenes sp. EGD-AK7 OX=1386079 GN=fur PE=3 SV=1
MM1 pKa = 7.3VWIKK5 pKa = 9.99WPSLGIVAIHH15 pKa = 6.53RR16 pKa = 11.84LVAVALSHH24 pKa = 6.31GLMRR28 pKa = 11.84VARR31 pKa = 11.84MAQRR35 pKa = 11.84HH36 pKa = 4.27QVAAFVVSRR45 pKa = 11.84VAIVVVNIRR54 pKa = 11.84GWRR57 pKa = 11.84HH58 pKa = 4.1TAQAFAIPAQRR69 pKa = 11.84AFFQHH74 pKa = 6.78AGAA77 pKa = 4.84

Molecular weight: 8.55 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

3984

0

3984

1255071

29

4456

315.0

34.56

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

10.884 ± 0.048

0.932 ± 0.013

5.193 ± 0.027

5.473 ± 0.037

3.589 ± 0.025

7.805 ± 0.04

2.229 ± 0.021

4.961 ± 0.032

3.331 ± 0.031

11.287 ± 0.047

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.615 ± 0.019

2.98 ± 0.027

4.917 ± 0.03

5.069 ± 0.038

6.277 ± 0.035

6.174 ± 0.031

4.998 ± 0.028

7.24 ± 0.034

1.522 ± 0.014

2.524 ± 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