Thiomicrospira aerophila AL3

Taxonomy: cellular organisms; Bacteria; Proteobacteria; Gammaproteobacteria; Thiotrichales; Piscirickettsiaceae; Thiomicrospira; Thiomicrospira aerophila

Average proteome isoelectric point is 6.16

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 2067 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|W0DU36|W0DU36_9GAMM Integrase OS=Thiomicrospira aerophila AL3 OX=717772 GN=THIAE_09515 PE=4 SV=1
MM1 pKa = 7.63FEE3 pKa = 5.34LDD5 pKa = 3.41IQVVQDD11 pKa = 4.26DD12 pKa = 4.23PQLPTEE18 pKa = 4.31AQCLSWLAAAQAEE31 pKa = 4.76LIAYY35 pKa = 8.3DD36 pKa = 3.82ADD38 pKa = 3.6EE39 pKa = 5.81FSDD42 pKa = 3.5QNYY45 pKa = 10.64AITLRR50 pKa = 11.84FVDD53 pKa = 4.04ALEE56 pKa = 4.2SQQLNEE62 pKa = 4.28TYY64 pKa = 10.51RR65 pKa = 11.84GINKK69 pKa = 7.05PTNVLSFPVDD79 pKa = 3.27DD80 pKa = 4.21WDD82 pKa = 4.11EE83 pKa = 4.38AGLPAEE89 pKa = 4.76LLAEE93 pKa = 4.87LGTPHH98 pKa = 7.43VGDD101 pKa = 4.49LVFCVPVMSAEE112 pKa = 4.03AQEE115 pKa = 4.27MAISPEE121 pKa = 3.96AHH123 pKa = 6.34WAHH126 pKa = 6.52LLVHH130 pKa = 6.94GYY132 pKa = 9.83LHH134 pKa = 6.88LHH136 pKa = 6.33GFDD139 pKa = 3.63HH140 pKa = 7.32LKK142 pKa = 10.77DD143 pKa = 3.9DD144 pKa = 4.38EE145 pKa = 4.47AALMEE150 pKa = 4.3GLEE153 pKa = 4.27SKK155 pKa = 10.55IMCQLGFADD164 pKa = 5.15PYY166 pKa = 11.36SEE168 pKa = 6.05AEE170 pKa = 4.1LADD173 pKa = 3.59

Molecular weight: 19.19 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|W0DYY4|W0DYY4_9GAMM Uncharacterized protein OS=Thiomicrospira aerophila AL3 OX=717772 GN=THIAE_00545 PE=4 SV=1
MM1 pKa = 7.45KK2 pKa = 9.51RR3 pKa = 11.84TFQPSVIKK11 pKa = 10.5RR12 pKa = 11.84KK13 pKa = 9.44RR14 pKa = 11.84NHH16 pKa = 5.44GFRR19 pKa = 11.84ARR21 pKa = 11.84MATKK25 pKa = 10.37NGRR28 pKa = 11.84KK29 pKa = 9.16VLAARR34 pKa = 11.84RR35 pKa = 11.84AKK37 pKa = 10.17GRR39 pKa = 11.84ARR41 pKa = 11.84LTVV44 pKa = 3.04

Molecular weight: 5.12 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

2067

0

2067

662005

29

1889

320.3

35.63

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

9.7 ± 0.06

0.814 ± 0.016

5.564 ± 0.042

5.711 ± 0.049

3.993 ± 0.036

6.65 ± 0.052

2.417 ± 0.027

6.029 ± 0.043

4.533 ± 0.052

11.111 ± 0.077

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.625 ± 0.03

3.933 ± 0.039

4.246 ± 0.036

5.909 ± 0.068

5.013 ± 0.037

5.629 ± 0.038

5.073 ± 0.039

6.787 ± 0.048

1.431 ± 0.027

2.83 ± 0.025
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