Prevotella sp. CAG:1031

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

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 2199 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|R5AYD9|R5AYD9_9BACT Uncharacterized protein OS=Prevotella sp. CAG:1031 OX=1262917 GN=BN456_00476 PE=4 SV=1
MM1 pKa = 7.57KK2 pKa = 10.33KK3 pKa = 9.63ILYY6 pKa = 9.95ALLLALPFALSSCSNDD22 pKa = 3.49DD23 pKa = 3.61EE24 pKa = 4.79LPEE27 pKa = 4.08VKK29 pKa = 10.11ISVDD33 pKa = 3.24YY34 pKa = 11.45SGATEE39 pKa = 3.94VDD41 pKa = 2.92GVYY44 pKa = 10.36YY45 pKa = 10.49VVEE48 pKa = 4.28GEE50 pKa = 4.52EE51 pKa = 4.08LNIDD55 pKa = 4.34AIKK58 pKa = 9.32VTPKK62 pKa = 10.32SGYY65 pKa = 9.27KK66 pKa = 9.81AANLGATSYY75 pKa = 9.4YY76 pKa = 10.0WNYY79 pKa = 10.14QFLGTTIVEE88 pKa = 4.3PFGITVDD95 pKa = 3.88TEE97 pKa = 4.01GMEE100 pKa = 4.31PGDD103 pKa = 4.34YY104 pKa = 10.5IMQIRR109 pKa = 11.84STVYY113 pKa = 9.91QVDD116 pKa = 3.67RR117 pKa = 11.84AAGIAYY123 pKa = 9.07IVLPVKK129 pKa = 10.47IVDD132 pKa = 4.81DD133 pKa = 5.25DD134 pKa = 5.07DD135 pKa = 6.45DD136 pKa = 5.12IPGNGDD142 pKa = 3.29EE143 pKa = 4.8PEE145 pKa = 4.38EE146 pKa = 4.2GTINPDD152 pKa = 2.65SDD154 pKa = 2.74IRR156 pKa = 11.84AAVAPTDD163 pKa = 3.32

Molecular weight: 17.7 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|R5AL93|R5AL93_9BACT FeS assembly protein SufB OS=Prevotella sp. CAG:1031 OX=1262917 GN=BN456_00385 PE=3 SV=1
MM1 pKa = 7.84PSGKK5 pKa = 9.36KK6 pKa = 9.96RR7 pKa = 11.84KK8 pKa = 6.44GHH10 pKa = 6.2KK11 pKa = 9.14MATHH15 pKa = 6.13KK16 pKa = 10.39RR17 pKa = 11.84KK18 pKa = 9.84KK19 pKa = 9.28RR20 pKa = 11.84LRR22 pKa = 11.84KK23 pKa = 9.26NRR25 pKa = 11.84HH26 pKa = 4.71KK27 pKa = 10.87KK28 pKa = 9.36KK29 pKa = 10.77

Molecular weight: 3.58 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

2199

0

2199

749015

29

4147

340.6

37.8

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

9.249 ± 0.064

1.105 ± 0.02

6.227 ± 0.04

5.97 ± 0.047

4.241 ± 0.035

7.315 ± 0.043

1.736 ± 0.025

6.37 ± 0.052

4.911 ± 0.05

8.86 ± 0.06

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.656 ± 0.025

4.42 ± 0.04

4.241 ± 0.036

2.697 ± 0.028

6.007 ± 0.059

6.35 ± 0.041

5.835 ± 0.059

6.951 ± 0.037

1.167 ± 0.018

3.693 ± 0.035
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