Prevotella sp. CAG:474

Taxonomy: cellular organisms; Bacteria; FCB group; Bacteroidetes/Chlorobi group; Bacteroidetes; Bacteroidia; Bacteroidales; Prevotellaceae; Prevotella; environmental samples

Average proteome isoelectric point is 6.57

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 2297 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|R6VIN0|R6VIN0_9BACT Uncharacterized protein OS=Prevotella sp. CAG:474 OX=1262926 GN=BN673_00001 PE=4 SV=1
MM1 pKa = 8.1DD2 pKa = 5.64PALNNYY8 pKa = 8.93LKK10 pKa = 10.13AANMAYY16 pKa = 10.33DD17 pKa = 3.08IGEE20 pKa = 4.14IHH22 pKa = 7.33ALTPDD27 pKa = 3.65CAHH30 pKa = 6.92YY31 pKa = 8.2DD32 pKa = 3.49TLLRR36 pKa = 11.84QQEE39 pKa = 4.4VLGLLDD45 pKa = 3.43QAVDD49 pKa = 3.45GGYY52 pKa = 9.37VQAYY56 pKa = 8.23PMKK59 pKa = 10.01ALLSASDD66 pKa = 3.51DD67 pKa = 3.11WSTFRR72 pKa = 11.84LVRR75 pKa = 11.84PEE77 pKa = 4.4LFRR80 pKa = 11.84QILLEE85 pKa = 4.75GIDD88 pKa = 3.97RR89 pKa = 11.84GCLAPEE95 pKa = 4.61HH96 pKa = 7.08DD97 pKa = 5.06EE98 pKa = 3.69AWTWMTLAAEE108 pKa = 4.36NNDD111 pKa = 3.5PEE113 pKa = 4.88EE114 pKa = 4.59FMDD117 pKa = 5.37DD118 pKa = 3.26MEE120 pKa = 5.76RR121 pKa = 11.84YY122 pKa = 9.69YY123 pKa = 11.18DD124 pKa = 4.09LLMTALEE131 pKa = 4.42HH132 pKa = 6.53GNYY135 pKa = 9.85DD136 pKa = 3.51AEE138 pKa = 4.75TIMDD142 pKa = 4.75MIWPPEE148 pKa = 3.87QIIEE152 pKa = 4.0EE153 pKa = 4.37DD154 pKa = 3.24

Molecular weight: 17.72 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|R6VG32|R6VG32_9BACT Uncharacterized protein OS=Prevotella sp. CAG:474 OX=1262926 GN=BN673_01714 PE=3 SV=1
MM1 pKa = 7.85PNGKK5 pKa = 9.19KK6 pKa = 10.25KK7 pKa = 10.12KK8 pKa = 7.0GHH10 pKa = 6.14KK11 pKa = 9.06MATHH15 pKa = 6.13KK16 pKa = 10.39RR17 pKa = 11.84KK18 pKa = 9.84KK19 pKa = 9.28RR20 pKa = 11.84LRR22 pKa = 11.84KK23 pKa = 9.25NRR25 pKa = 11.84HH26 pKa = 4.69KK27 pKa = 11.1SKK29 pKa = 11.1

Molecular weight: 3.54 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

2297

0

2297

784242

29

2634

341.4

38.34

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

8.187 ± 0.053

1.38 ± 0.019

6.062 ± 0.038

5.745 ± 0.048

4.079 ± 0.028

6.949 ± 0.043

2.266 ± 0.026

6.496 ± 0.048

5.716 ± 0.045

8.77 ± 0.046

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

3.077 ± 0.025

4.593 ± 0.045

3.725 ± 0.028

3.57 ± 0.034

5.366 ± 0.042

5.769 ± 0.045

5.822 ± 0.043

6.872 ± 0.039

1.247 ± 0.02

4.308 ± 0.038
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