Amycolatopsis methanolica 239

Taxonomy: cellular organisms; Bacteria; Terrabacteria group; Actinobacteria; Actinomycetia; Pseudonocardiales; Pseudonocardiaceae; Amycolatopsis; Amycolatopsis methanolica

Average proteome isoelectric point is 6.35

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 7005 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|A0A076MQ67|A0A076MQ67_AMYME Chromosome partitioning protein OS=Amycolatopsis methanolica 239 OX=1068978 GN=parA PE=4 SV=1
MM1 pKa = 7.61TEE3 pKa = 3.91TLVPEE8 pKa = 4.43EE9 pKa = 4.51SDD11 pKa = 3.4LLEE14 pKa = 4.67WIVNQAEE21 pKa = 4.32TRR23 pKa = 11.84GNAVISVAADD33 pKa = 3.4DD34 pKa = 4.58SGAGYY39 pKa = 11.05AFTACVWALHH49 pKa = 5.79EE50 pKa = 4.31VPEE53 pKa = 4.26AVVVGLPEE61 pKa = 3.86QMAPILLDD69 pKa = 3.84AYY71 pKa = 10.8VDD73 pKa = 3.74RR74 pKa = 11.84AANGEE79 pKa = 4.09EE80 pKa = 4.06FVPGKK85 pKa = 10.83VYY87 pKa = 10.97DD88 pKa = 4.15DD89 pKa = 4.03FFEE92 pKa = 4.56GVPVTFEE99 pKa = 3.98RR100 pKa = 11.84VAKK103 pKa = 9.99GHH105 pKa = 5.01YY106 pKa = 9.94LEE108 pKa = 4.57YY109 pKa = 10.49LGSAFLVYY117 pKa = 10.18PDD119 pKa = 4.27GDD121 pKa = 4.03FPALQIIVATPDD133 pKa = 3.42GHH135 pKa = 6.41WPWSADD141 pKa = 3.42APEE144 pKa = 5.57GFADD148 pKa = 3.75WQPVLTEE155 pKa = 4.09SGAPEE160 pKa = 4.12SWTPGVDD167 pKa = 3.64GPP169 pKa = 4.81

Molecular weight: 18.24 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|A0A076N7F3|A0A076N7F3_AMYME RmuC-domain protein OS=Amycolatopsis methanolica 239 OX=1068978 GN=rmuC PE=3 SV=1
MM1 pKa = 7.53SKK3 pKa = 10.53GKK5 pKa = 8.66RR6 pKa = 11.84TFQPNNRR13 pKa = 11.84RR14 pKa = 11.84RR15 pKa = 11.84ARR17 pKa = 11.84THH19 pKa = 5.69GFRR22 pKa = 11.84LRR24 pKa = 11.84MRR26 pKa = 11.84TRR28 pKa = 11.84AGRR31 pKa = 11.84AILSARR37 pKa = 11.84RR38 pKa = 11.84RR39 pKa = 11.84KK40 pKa = 9.98GRR42 pKa = 11.84EE43 pKa = 3.61KK44 pKa = 10.93LSAA47 pKa = 3.78

Molecular weight: 5.59 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

7005

0

7005

2109989

24

14703

301.2

32.29

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

13.503 ± 0.042

0.778 ± 0.01

5.9 ± 0.022

5.809 ± 0.029

2.921 ± 0.019

9.342 ± 0.028

2.187 ± 0.015

3.455 ± 0.023

2.036 ± 0.021

10.466 ± 0.039

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

1.722 ± 0.012

1.833 ± 0.016

5.995 ± 0.026

2.758 ± 0.022

8.125 ± 0.033

4.882 ± 0.02

5.793 ± 0.021

9.04 ± 0.026

1.501 ± 0.013

1.954 ± 0.014
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