Halorubrum distributum

Taxonomy: cellular organisms

Average proteome isoelectric point is 4.93

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 2492 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|A0A256KYM2|A0A256KYM2_9EURY Transcriptional regulator OS=Halorubrum distributum OX=29283 GN=DJ72_02835 PE=4 SV=1
MM1 pKa = 7.06FVEE4 pKa = 4.98HH5 pKa = 6.87LPDD8 pKa = 4.9DD9 pKa = 4.29RR10 pKa = 11.84GQAHH14 pKa = 5.8TLEE17 pKa = 4.85AFTAALLLVTGLIFATQATAVTPLSASTSNQHH49 pKa = 5.85VEE51 pKa = 4.11NQASIAAQDD60 pKa = 4.15LLSTTDD66 pKa = 3.19ASGTLSAALLYY77 pKa = 10.21YY78 pKa = 10.84DD79 pKa = 3.98NGSFVGATDD88 pKa = 3.44EE89 pKa = 4.14EE90 pKa = 6.07GYY92 pKa = 11.33AGMPPDD98 pKa = 4.03SHH100 pKa = 7.03PLHH103 pKa = 7.37DD104 pKa = 5.25PLTEE108 pKa = 4.02AFGDD112 pKa = 3.66RR113 pKa = 11.84QIAFDD118 pKa = 3.7IDD120 pKa = 3.67VYY122 pKa = 11.61YY123 pKa = 10.25PDD125 pKa = 5.52DD126 pKa = 4.72SSDD129 pKa = 3.48GTGDD133 pKa = 3.2VAMVDD138 pKa = 3.66MGPPSDD144 pKa = 3.96NAATASIRR152 pKa = 11.84VTLYY156 pKa = 10.48GDD158 pKa = 3.65DD159 pKa = 4.03RR160 pKa = 11.84FGADD164 pKa = 3.76DD165 pKa = 3.55QHH167 pKa = 8.2VLAEE171 pKa = 4.77DD172 pKa = 4.41GPGRR176 pKa = 11.84GYY178 pKa = 10.65FADD181 pKa = 3.94PVDD184 pKa = 4.07GNGEE188 pKa = 3.67ILYY191 pKa = 8.84TVVEE195 pKa = 4.18VRR197 pKa = 11.84ITAWQMM203 pKa = 2.84

Molecular weight:
21.52 kDa
Isoelectric point according different methods:






Protein with the highest isoelectric point:
>tr|A0A256KJB9|A0A256KJB9_9EURY Shikimate_DH domain-containing protein (Fragment) OS=Halorubrum distributum OX=29283 GN=DJ72_11260 PE=4 SV=1
MM1 pKa = 7.34NANSSVPYY9 pKa = 9.38SASRR13 pKa = 11.84STPRR17 pKa = 11.84RR18 pKa = 11.84WPSTRR23 pKa = 11.84PHH25 pKa = 5.63RR26 pKa = 11.84RR27 pKa = 11.84FRR29 pKa = 11.84RR30 pKa = 11.84AIGRR34 pKa = 11.84RR35 pKa = 11.84RR36 pKa = 11.84SARR39 pKa = 11.84SGTPTTTLTATWPAPSPSVGTPPTT63 pKa = 3.57

Molecular weight:
6.95 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

2492

0

2492

532659

27

1342

213.7

23.22

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

11.166 ± 0.087

0.682 ± 0.017

8.777 ± 0.068

8.605 ± 0.063

3.338 ± 0.04

8.693 ± 0.06

1.922 ± 0.027

3.989 ± 0.038

1.908 ± 0.035

8.671 ± 0.062

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

1.712 ± 0.027

2.328 ± 0.03

4.726 ± 0.035

2.337 ± 0.04

6.744 ± 0.053

5.425 ± 0.044

6.152 ± 0.041

8.976 ± 0.06

1.139 ± 0.023

2.71 ± 0.028

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