Swingsia sp. F3b2

Taxonomy: cellular organisms; Bacteria; Proteobacteria; Alphaproteobacteria; Rhodospirillales; Acetobacteraceae; Swingsia; unclassified Swingsia

Average proteome isoelectric point is 7.0

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 1664 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|A0A4Y6U9P6|A0A4Y6U9P6_9PROT Glutathione S-transferase family protein OS=Swingsia sp. F3b2 OX=2558361 GN=E3E12_00075 PE=4 SV=1
MM1 pKa = 7.96IPEE4 pKa = 4.41DD5 pKa = 3.76TYY7 pKa = 11.78LDD9 pKa = 3.59YY10 pKa = 11.6DD11 pKa = 3.35EE12 pKa = 5.22WRR14 pKa = 11.84FLSEE18 pKa = 3.95FFYY21 pKa = 10.75TSVHH25 pKa = 5.77GEE27 pKa = 3.67LRR29 pKa = 11.84YY30 pKa = 7.19TAKK33 pKa = 10.48ILFHH37 pKa = 6.55DD38 pKa = 3.79VCIIEE43 pKa = 4.4MTHH46 pKa = 6.49EE47 pKa = 4.2DD48 pKa = 4.78AIDD51 pKa = 4.7LIDD54 pKa = 3.85VNFLSWSNKK63 pKa = 8.29NGRR66 pKa = 11.84IPLNYY71 pKa = 9.91FMDD74 pKa = 3.44VLEE77 pKa = 4.21YY78 pKa = 10.83SEE80 pKa = 5.31EE81 pKa = 4.13GLLEE85 pKa = 5.01DD86 pKa = 5.34DD87 pKa = 4.6ADD89 pKa = 3.96VYY91 pKa = 11.64APDD94 pKa = 4.22EE95 pKa = 4.28YY96 pKa = 11.37DD97 pKa = 3.43EE98 pKa = 5.49EE99 pKa = 4.42EE100 pKa = 4.67VEE102 pKa = 4.93DD103 pKa = 4.49EE104 pKa = 4.37NPSSEE109 pKa = 4.36SHH111 pKa = 6.23SEE113 pKa = 4.08APSSEE118 pKa = 4.04ASSKK122 pKa = 10.93DD123 pKa = 3.2

Molecular weight: 14.37 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|A0A4Y6UC03|A0A4Y6UC03_9PROT Uncharacterized protein OS=Swingsia sp. F3b2 OX=2558361 GN=E3E12_04945 PE=4 SV=1
MM1 pKa = 7.45KK2 pKa = 9.56RR3 pKa = 11.84TFQPSRR9 pKa = 11.84LVRR12 pKa = 11.84KK13 pKa = 8.99RR14 pKa = 11.84RR15 pKa = 11.84HH16 pKa = 4.7GFRR19 pKa = 11.84SRR21 pKa = 11.84MATVGGRR28 pKa = 11.84RR29 pKa = 11.84VINNRR34 pKa = 11.84RR35 pKa = 11.84RR36 pKa = 11.84KK37 pKa = 8.68GRR39 pKa = 11.84KK40 pKa = 8.84RR41 pKa = 11.84LSAA44 pKa = 3.96

Molecular weight: 5.34 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

1664

0

1664

551706

20

3659

331.6

35.75

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

12.63 ± 0.077

1.053 ± 0.023

4.728 ± 0.043

5.073 ± 0.055

3.198 ± 0.035

9.075 ± 0.083

2.662 ± 0.04

3.813 ± 0.045

3.454 ± 0.058

10.592 ± 0.08

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.649 ± 0.031

2.842 ± 0.064

6.427 ± 0.061

4.287 ± 0.043

6.398 ± 0.063

5.23 ± 0.041

5.506 ± 0.059

6.89 ± 0.043

1.544 ± 0.03

1.95 ± 0.032
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