Trifolium pratense (Red clover)

Taxonomy: cellular organisms; Eukaryota; Viridiplantae; Streptophyta; Streptophytina; Embryophyta; Tracheophyta; Euphyllophyta; Spermatophyta; Magnoliopsida; Mesangiospermae; eudicotyledons; Gunneridae; Pentapetalae; rosids; fabids; Fabales; Fabaceae; Papilionoideae; 50 kb inversion clade; NPAAA clade;

Average proteome isoelectric point is 6.56

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 60146 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|A0A2K3KGK8|A0A2K3KGK8_TRIPR Uncharacterized protein OS=Trifolium pratense OX=57577 GN=L195_g054530 PE=4 SV=1
EEE2 pKa = 4.88HH3 pKa = 6.92SDDD6 pKa = 5.5FTLDDD11 pKa = 3.73ILSDDD16 pKa = 4.59DD17 pKa = 4.23AEEE20 pKa = 4.38PAPDDD25 pKa = 3.31SPPNDDD31 pKa = 3.78VEEE34 pKa = 4.42PAPHHH39 pKa = 6.98HH40 pKa = 6.61PPDDD44 pKa = 3.76DD45 pKa = 3.77AEEE48 pKa = 4.24PAPYYY53 pKa = 9.91HH54 pKa = 6.36PPDDD58 pKa = 4.41DD59 pKa = 4.02AEEE62 pKa = 4.13PAPYYY67 pKa = 9.72HH68 pKa = 6.75PPDDD72 pKa = 3.94DD73 pKa = 3.66AEEE76 pKa = 4.21PTPHHH81 pKa = 7.01HH82 pKa = 6.13HHH84 pKa = 7.29DDD86 pKa = 3.45DD87 pKa = 4.47AEEE90 pKa = 4.16PAPAISPSDDD100 pKa = 3.52

Molecular weight:
10.38 kDa
Isoelectric point according different methods:






Protein with the highest isoelectric point:
>tr|A0A2K3JVU4|A0A2K3JVU4_TRIPR Uncharacterized protein (Fragment) OS=Trifolium pratense OX=57577 GN=L195_g059059 PE=4 SV=1
MM1 pKa = 7.25TRR3 pKa = 11.84PNHH6 pKa = 4.84HH7 pKa = 6.72HH8 pKa = 7.39RR9 pKa = 11.84ITVLLMTRR17 pKa = 11.84PNHH20 pKa = 5.7LLRR23 pKa = 11.84IKK25 pKa = 10.11VLLMTRR31 pKa = 11.84VNHH34 pKa = 6.53LLRR37 pKa = 11.84ITVLPMTQPSHH48 pKa = 4.46QHH50 pKa = 6.58RR51 pKa = 11.84ITILLMTRR59 pKa = 11.84PNHH62 pKa = 6.07LPHH65 pKa = 6.21ITVLLMTRR73 pKa = 11.84LNHH76 pKa = 5.48LHH78 pKa = 7.43RR79 pKa = 11.84ITVIPMTRR87 pKa = 11.84QNRR90 pKa = 11.84QHH92 pKa = 6.03QPSALLMNLLSNMQPNN108 pKa = 3.46

Molecular weight:
12.83 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

58053

2093

60146

15246222

9

5096

253.5

28.4

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

6.2 ± 0.01

1.851 ± 0.005

5.511 ± 0.008

6.516 ± 0.013

4.232 ± 0.007

6.306 ± 0.012

2.452 ± 0.005

5.626 ± 0.007

6.458 ± 0.013

9.496 ± 0.014

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.455 ± 0.006

4.95 ± 0.008

4.705 ± 0.012

3.677 ± 0.008

4.964 ± 0.009

8.689 ± 0.013

5.04 ± 0.008

6.66 ± 0.009

1.361 ± 0.005

2.818 ± 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