Sphingobium japonicum BiD32

Taxonomy: cellular organisms; Bacteria; Proteobacteria; Alphaproteobacteria; Sphingomonadales; Sphingomonadaceae; Sphingobium; Sphingobium indicum

Average proteome isoelectric point is 6.66

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 4670 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|N1MNT2|N1MNT2_9SPHN JmjC domain-containing protein OS=Sphingobium japonicum BiD32 OX=1301087 GN=EBBID32_32520 PE=4 SV=1
MM1 pKa = 7.65PHH3 pKa = 7.54RR4 pKa = 11.84LHH6 pKa = 6.89QLADD10 pKa = 3.84PNADD14 pKa = 3.48DD15 pKa = 4.08NQFSKK20 pKa = 11.29LLVLLRR26 pKa = 11.84ALQITEE32 pKa = 3.99VSFSLSGGGDD42 pKa = 3.21QGEE45 pKa = 4.33TSLDD49 pKa = 3.04HH50 pKa = 6.8VRR52 pKa = 11.84YY53 pKa = 9.72HH54 pKa = 7.58DD55 pKa = 3.69GTEE58 pKa = 3.82NASIPEE64 pKa = 4.01VPVRR68 pKa = 11.84IDD70 pKa = 3.63AVGHH74 pKa = 6.12PAMLCYY80 pKa = 10.41ALSEE84 pKa = 4.35FAADD88 pKa = 3.87LPEE91 pKa = 5.68GDD93 pKa = 3.16WCNNEE98 pKa = 3.63GGYY101 pKa = 8.47GTVTIQPFADD111 pKa = 4.34CPCDD115 pKa = 3.89CDD117 pKa = 3.14MTYY120 pKa = 10.62RR121 pKa = 11.84QDD123 pKa = 4.92GDD125 pKa = 3.63WEE127 pKa = 5.48DD128 pKa = 5.54DD129 pKa = 4.62DD130 pKa = 6.05EE131 pKa = 7.35LDD133 pKa = 4.95DD134 pKa = 5.06DD135 pKa = 5.6LEE137 pKa = 5.28AFVLDD142 pKa = 4.99PDD144 pKa = 4.38TAPAGPPAIIIIGEE158 pKa = 4.01AQAA161 pKa = 4.4

Molecular weight:
17.46 kDa
Isoelectric point according different methods:






Protein with the highest isoelectric point:
>tr|N1MNM1|N1MNM1_9SPHN Choline dehydrogenase OS=Sphingobium japonicum BiD32 OX=1301087 GN=EBBID32_31820 PE=3 SV=1
MM1 pKa = 7.45KK2 pKa = 9.61RR3 pKa = 11.84TFQPSNLVRR12 pKa = 11.84KK13 pKa = 9.33RR14 pKa = 11.84RR15 pKa = 11.84HH16 pKa = 5.19GYY18 pKa = 7.59RR19 pKa = 11.84ARR21 pKa = 11.84MATPGGRR28 pKa = 11.84NIIRR32 pKa = 11.84ARR34 pKa = 11.84RR35 pKa = 11.84ARR37 pKa = 11.84GRR39 pKa = 11.84KK40 pKa = 9.07SLSAA44 pKa = 3.93

Molecular weight:
5.14 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

4670

0

4670

1388006

37

12288

297.2

32.17

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

13.131 ± 0.059

0.844 ± 0.012

6.134 ± 0.03

5.052 ± 0.035

3.475 ± 0.023

8.733 ± 0.042

2.092 ± 0.02

5.286 ± 0.027

3.012 ± 0.029

9.898 ± 0.041

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.628 ± 0.024

2.549 ± 0.025

5.285 ± 0.026

3.321 ± 0.02

7.304 ± 0.043

5.355 ± 0.03

5.247 ± 0.038

6.961 ± 0.029

1.45 ± 0.015

2.241 ± 0.019

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