Mikania micrantha

Taxonomy: cellular organisms; Eukaryota; Viridiplantae; Streptophyta; Streptophytina; Embryophyta; Tracheophyta; Euphyllophyta; Spermatophyta; Magnoliopsida; Mesangiospermae; eudicotyledons; Gunneridae; Pentapetalae; asterids; campanulids; Asterales; Asteraceae; Asteroideae; Heliantheae alliance; Eupatorieae;

Average proteome isoelectric point is 6.8

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 45070 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|A0A5N6LMZ7|A0A5N6LMZ7_9ASTR Kinesin motor domain-containing protein OS=Mikania micrantha OX=192012 GN=E3N88_40532 PE=3 SV=1
MM1 pKa = 7.43LFVDD5 pKa = 3.91QVLPSGGDD13 pKa = 3.35LDD15 pKa = 5.14DD16 pKa = 4.15VCDD19 pKa = 4.17VFDD22 pKa = 4.87DD23 pKa = 4.07CDD25 pKa = 4.27VYY27 pKa = 11.73VPLPLSYY34 pKa = 11.06EE35 pKa = 4.31EE36 pKa = 5.58LGHH39 pKa = 5.31TQNTPMLLNEE49 pKa = 4.55VIGDD53 pKa = 3.63VASAFDD59 pKa = 3.8GFVPLSICNDD69 pKa = 3.01GSRR72 pKa = 11.84VGKK75 pKa = 8.05QQIPINVSDD84 pKa = 4.12EE85 pKa = 4.18EE86 pKa = 4.29DD87 pKa = 3.48VQRR90 pKa = 11.84SYY92 pKa = 11.29TFLTPNGTKK101 pKa = 9.33VWCPIYY107 pKa = 10.63FSGTVFKK114 pKa = 10.39LTTRR118 pKa = 11.84FF119 pKa = 3.4

Molecular weight: 13.19 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|A0A5N6NNP1|A0A5N6NNP1_9ASTR DAGKc domain-containing protein OS=Mikania micrantha OX=192012 GN=E3N88_19026 PE=4 SV=1
MM1 pKa = 7.06KK2 pKa = 9.98QVHH5 pKa = 5.98NSSSGGGGGGGGRR18 pKa = 11.84RR19 pKa = 11.84RR20 pKa = 11.84RR21 pKa = 11.84RR22 pKa = 11.84RR23 pKa = 11.84RR24 pKa = 11.84RR25 pKa = 11.84RR26 pKa = 11.84RR27 pKa = 11.84GGGGGGGGRR36 pKa = 11.84SGGGRR41 pKa = 11.84GGGGGGGGGGGGGGGGGGGGGSGRR65 pKa = 11.84GSSSSSRR72 pKa = 11.84KK73 pKa = 9.41KK74 pKa = 10.14KK75 pKa = 10.35KK76 pKa = 10.39KK77 pKa = 10.06NNKK80 pKa = 8.97KK81 pKa = 10.09NNKK84 pKa = 8.37NNKK87 pKa = 8.73NNNNNKK93 pKa = 9.84

Molecular weight: 8.75 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

45070

0

45070

18775044

57

5430

416.6

46.79

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

6.147 ± 0.01

1.854 ± 0.006

5.551 ± 0.008

6.287 ± 0.011

4.229 ± 0.007

6.28 ± 0.01

2.582 ± 0.005

5.61 ± 0.009

6.434 ± 0.011

9.398 ± 0.012

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.559 ± 0.004

4.704 ± 0.008

4.883 ± 0.01

3.75 ± 0.007

5.266 ± 0.01

8.395 ± 0.012

5.216 ± 0.006

6.546 ± 0.008

1.381 ± 0.004

2.929 ± 0.006
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