Prevotella sp. P3-122

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

Average proteome isoelectric point is 6.35

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 3001 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|A0A255T2Y5|A0A255T2Y5_9BACT OMP_b-brl_3 domain-containing protein OS=Prevotella sp. P3-122 OX=2024223 GN=CIL02_11660 PE=4 SV=1
MM1 pKa = 7.75INPNDD6 pKa = 3.54KK7 pKa = 10.76SFRR10 pKa = 11.84NYY12 pKa = 8.52TDD14 pKa = 3.01EE15 pKa = 4.39AFVYY19 pKa = 8.67GWCDD23 pKa = 3.15DD24 pKa = 4.05CGNGVVLSDD33 pKa = 3.07IDD35 pKa = 4.42EE36 pKa = 4.34IKK38 pKa = 10.97EE39 pKa = 4.9DD40 pKa = 3.69IDD42 pKa = 3.52KK43 pKa = 11.16LYY45 pKa = 11.22ADD47 pKa = 5.25FCAEE51 pKa = 4.32HH52 pKa = 5.97GTEE55 pKa = 4.58PLYY58 pKa = 11.34AMCEE62 pKa = 4.15IVWKK66 pKa = 10.16DD67 pKa = 3.54EE68 pKa = 4.12KK69 pKa = 10.73FVEE72 pKa = 4.46PSPVTVKK79 pKa = 10.71LSSDD83 pKa = 3.33ADD85 pKa = 3.71DD86 pKa = 4.28ATDD89 pKa = 3.4EE90 pKa = 5.23KK91 pKa = 11.12IFFYY95 pKa = 10.85CDD97 pKa = 3.43GIEE100 pKa = 4.14DD101 pKa = 4.1LKK103 pKa = 11.45SLAEE107 pKa = 4.15FGVEE111 pKa = 4.39DD112 pKa = 5.37FVLTACNYY120 pKa = 7.5LTNDD124 pKa = 3.45LL125 pKa = 4.43

Molecular weight: 14.18 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|A0A255SZZ7|A0A255SZZ7_9BACT RNA polymerase sigma factor OS=Prevotella sp. P3-122 OX=2024223 GN=CIL02_15330 PE=3 SV=1
MM1 pKa = 7.17GKK3 pKa = 10.01VMRR6 pKa = 11.84TLSRR10 pKa = 11.84WISWLLILPILFYY23 pKa = 10.26QRR25 pKa = 11.84CISPFTPPSCRR36 pKa = 11.84FQPTCSEE43 pKa = 4.39YY44 pKa = 11.03ARR46 pKa = 11.84QALQKK51 pKa = 9.9HH52 pKa = 5.56GPIKK56 pKa = 10.74GMWLAIRR63 pKa = 11.84RR64 pKa = 11.84LLRR67 pKa = 11.84CHH69 pKa = 6.35PWGGSGYY76 pKa = 10.93DD77 pKa = 3.53PVPP80 pKa = 3.61

Molecular weight: 9.32 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

3001

0

3001

1114468

31

3271

371.4

41.76

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

7.586 ± 0.051

1.413 ± 0.018

6.133 ± 0.033

6.105 ± 0.042

4.202 ± 0.031

6.877 ± 0.045

1.972 ± 0.02

6.538 ± 0.04

6.175 ± 0.042

8.596 ± 0.051

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.997 ± 0.024

5.103 ± 0.04

3.532 ± 0.022

3.422 ± 0.027

4.868 ± 0.037

6.207 ± 0.039

5.936 ± 0.042

6.658 ± 0.034

1.324 ± 0.017

4.356 ± 0.03
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