Artemisia annua (Sweet wormwood)

Taxonomy: cellular organisms; Eukaryota; Viridiplantae; Streptophyta; Streptophytina; Embryophyta; Tracheophyta; Euphyllophyta; Spermatophyta; Magnoliopsida; Mesangiospermae; eudicotyledons; Gunneridae; Pentapetalae; asterids; campanulids; Asterales; Asteraceae; Asteroideae; Anthemideae; Artemisiinae; Artemisia

Average proteome isoelectric point is 6.7

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 66068 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|A0A2U1Q9Q7|A0A2U1Q9Q7_ARTAN RNA-directed DNA polymerase eukaryota OS=Artemisia annua OX=35608 GN=CTI12_AA056810 PE=4 SV=1
MM1 pKa = 7.77LILDD5 pKa = 4.38SDD7 pKa = 4.17DD8 pKa = 4.03HH9 pKa = 8.01VDD11 pKa = 4.31AIVKK15 pKa = 7.47EE16 pKa = 4.84TYY18 pKa = 10.82DD19 pKa = 3.25NWEE22 pKa = 3.91QNLWDD27 pKa = 3.54PTYY30 pKa = 10.58FQDD33 pKa = 4.32RR34 pKa = 11.84TILAHH39 pKa = 6.51TDD41 pKa = 3.27EE42 pKa = 5.05EE43 pKa = 4.84VNKK46 pKa = 10.31INEE49 pKa = 4.42CMMSKK54 pKa = 10.34PPGWEE59 pKa = 3.97KK60 pKa = 10.84VCYY63 pKa = 10.33SSDD66 pKa = 3.66SVSDD70 pKa = 3.12IDD72 pKa = 4.55VDD74 pKa = 4.16FNYY77 pKa = 10.53DD78 pKa = 2.87EE79 pKa = 5.14SMYY82 pKa = 8.69TTT84 pKa = 4.09

Molecular weight: 9.91 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|A0A2U1N3L0|A0A2U1N3L0_ARTAN Concanavalin A-like lectin/glucanase subgroup OS=Artemisia annua OX=35608 GN=CTI12_AA312870 PE=4 SV=1
MM1 pKa = 7.02NLWVPCLVRR10 pKa = 11.84RR11 pKa = 11.84PVPSSKK17 pKa = 10.04QVPPRR22 pKa = 11.84RR23 pKa = 11.84RR24 pKa = 11.84GGLRR28 pKa = 11.84IAFTRR33 pKa = 11.84GMRR36 pKa = 11.84MRR38 pKa = 11.84QSLLPRR44 pKa = 11.84PLGRR48 pKa = 11.84RR49 pKa = 11.84GGKK52 pKa = 9.4PSLLSQSQQKK62 pKa = 9.42VRR64 pKa = 11.84GRR66 pKa = 11.84AIPSFLRR73 pKa = 11.84EE74 pKa = 4.02GLKK77 pKa = 10.51SAFIMSSFRR86 pKa = 11.84QAIGSKK92 pKa = 10.6GLL94 pKa = 3.42

Molecular weight: 10.55 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

62376

3692

66068

25287345

50

5338

382.7

43.0

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

5.979 ± 0.009

1.928 ± 0.005

5.597 ± 0.008

6.417 ± 0.01

4.239 ± 0.006

6.248 ± 0.009

2.431 ± 0.004

5.616 ± 0.007

6.679 ± 0.01

9.435 ± 0.013

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.588 ± 0.004

4.927 ± 0.007

4.551 ± 0.009

3.55 ± 0.007

5.021 ± 0.007

8.408 ± 0.012

5.237 ± 0.007

6.779 ± 0.007

1.353 ± 0.003

3.014 ± 0.005
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