Ureaplasma diversum NCTC 246

Taxonomy: cellular organisms; Bacteria; Terrabacteria group; Tenericutes; Mollicutes; Mycoplasmatales; Mycoplasmataceae; Ureaplasma; Ureaplasma diversum

Average proteome isoelectric point is 7.12

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 666 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|A0A084EZE9|A0A084EZE9_9MOLU Uncharacterized protein OS=Ureaplasma diversum NCTC 246 OX=1188241 GN=UDIV_3550 PE=4 SV=1
MM1 pKa = 7.45EE2 pKa = 5.21NWNEE6 pKa = 3.83WKK8 pKa = 10.34EE9 pKa = 4.15KK10 pKa = 10.14QDD12 pKa = 3.79EE13 pKa = 4.22QTLAHH18 pKa = 6.91LNYY21 pKa = 9.73ISNLIDD27 pKa = 3.86DD28 pKa = 4.6NKK30 pKa = 11.15NLFEE34 pKa = 4.55YY35 pKa = 10.39ILRR38 pKa = 11.84NFNYY42 pKa = 9.87QFYY45 pKa = 9.13TLTKK49 pKa = 9.58NANILSKK56 pKa = 10.82SVFLFLVHH64 pKa = 6.05NQEE67 pKa = 4.63LYY69 pKa = 10.94GSFLQSHH76 pKa = 6.36TEE78 pKa = 4.17TINSIEE84 pKa = 4.05NDD86 pKa = 3.23NNIDD90 pKa = 3.73FVEE93 pKa = 4.0VDD95 pKa = 3.13EE96 pKa = 5.99DD97 pKa = 3.96EE98 pKa = 4.82NEE100 pKa = 4.05LYY102 pKa = 10.41LYY104 pKa = 10.79SLEE107 pKa = 4.04QVIDD111 pKa = 4.1FFIQDD116 pKa = 3.5EE117 pKa = 4.74FEE119 pKa = 4.32LSRR122 pKa = 11.84EE123 pKa = 4.1EE124 pKa = 3.85IKK126 pKa = 10.01TYY128 pKa = 9.78ATIKK132 pKa = 10.4IEE134 pKa = 3.88

Molecular weight:
16.23 kDa
Isoelectric point according different methods:






Protein with the highest isoelectric point:
>tr|A0A084EZQ4|A0A084EZQ4_9MOLU 4-(cytidine-5'-diphospho)-2-C-methyl-D-erythritol kinase OS=Ureaplasma diversum NCTC 246 OX=1188241 GN=UDIV_2890 PE=3 SV=1
MM1 pKa = 7.44KK2 pKa = 9.6RR3 pKa = 11.84TFQPNNRR10 pKa = 11.84KK11 pKa = 8.78RR12 pKa = 11.84AKK14 pKa = 9.29VHH16 pKa = 5.53GFRR19 pKa = 11.84ARR21 pKa = 11.84MKK23 pKa = 8.71TKK25 pKa = 10.15NGRR28 pKa = 11.84IVLARR33 pKa = 11.84RR34 pKa = 11.84RR35 pKa = 11.84LKK37 pKa = 10.53GRR39 pKa = 11.84HH40 pKa = 5.44SLTVSSEE47 pKa = 3.91RR48 pKa = 3.86

Molecular weight:
5.73 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

666

0

666

252712

37

3316

379.4

43.33

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

5.763 ± 0.086

0.672 ± 0.032

5.928 ± 0.074

6.173 ± 0.117

4.747 ± 0.08

4.261 ± 0.091

1.641 ± 0.04

8.609 ± 0.115

9.742 ± 0.11

9.518 ± 0.097

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

1.595 ± 0.043

8.231 ± 0.104

2.965 ± 0.059

4.287 ± 0.063

2.89 ± 0.065

6.564 ± 0.071

5.416 ± 0.074

5.938 ± 0.072

0.851 ± 0.026

4.21 ± 0.07

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