Gordonia phage Ebert

Taxonomy: Viruses; Duplodnaviria; Heunggongvirae; Uroviricota; Caudoviricetes; Caudovirales; Siphoviridae; Attisvirus; unclassified Attisvirus

Average proteome isoelectric point is 6.32

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 78 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|A0A2Z4Q3W7|A0A2Z4Q3W7_9CAUD Exonuclease OS=Gordonia phage Ebert OX=2201426 GN=59 PE=4 SV=1
MM1 pKa = 7.72SYY3 pKa = 9.13TVTAALVVAADD14 pKa = 3.95TEE16 pKa = 4.72GKK18 pKa = 10.42LNYY21 pKa = 9.23HH22 pKa = 6.06YY23 pKa = 10.34EE24 pKa = 4.39GAHH27 pKa = 5.63IAYY30 pKa = 10.27LSDD33 pKa = 3.2EE34 pKa = 4.21DD35 pKa = 4.8AEE37 pKa = 4.67RR38 pKa = 11.84FLADD42 pKa = 3.26GMVVEE47 pKa = 4.81TADD50 pKa = 3.93LADD53 pKa = 3.62EE54 pKa = 4.61AFIPLADD61 pKa = 4.57DD62 pKa = 4.25PVDD65 pKa = 4.3GGDD68 pKa = 3.7PPAPAGDD75 pKa = 3.76GARR78 pKa = 11.84PPKK81 pKa = 9.6TASKK85 pKa = 10.3DD86 pKa = 3.08AWVDD90 pKa = 3.79FAEE93 pKa = 4.47AKK95 pKa = 10.36GMSRR99 pKa = 11.84AEE101 pKa = 4.1AEE103 pKa = 4.46DD104 pKa = 3.62MSKK107 pKa = 11.33ADD109 pKa = 5.46LIQALGG115 pKa = 3.34

Molecular weight:
12.05 kDa
Isoelectric point according different methods:






Protein with the highest isoelectric point:
>tr|A0A2Z4Q4A7|A0A2Z4Q4A7_9CAUD Uncharacterized protein OS=Gordonia phage Ebert OX=2201426 GN=72 PE=4 SV=1
MM1 pKa = 7.91KK2 pKa = 10.26LRR4 pKa = 11.84PAQRR8 pKa = 11.84RR9 pKa = 11.84EE10 pKa = 3.86ALAKK14 pKa = 9.71MGNGYY19 pKa = 9.25QKK21 pKa = 11.04QMFMLGLRR29 pKa = 11.84LQAVARR35 pKa = 11.84EE36 pKa = 4.17PMTAEE41 pKa = 3.65QQRR44 pKa = 11.84RR45 pKa = 11.84IQSEE49 pKa = 4.14LQPAIEE55 pKa = 4.6RR56 pKa = 11.84IKK58 pKa = 11.04ANQARR63 pKa = 11.84ANQRR67 pKa = 11.84GLLGIQIQRR76 pKa = 11.84ATAIFYY82 pKa = 10.35DD83 pKa = 3.4IMGDD87 pKa = 3.53DD88 pKa = 3.4WHH90 pKa = 7.19PRR92 pKa = 11.84PDD94 pKa = 3.38NPVQRR99 pKa = 11.84EE100 pKa = 4.12CMADD104 pKa = 3.43LQTSLL109 pKa = 4.32

Molecular weight:
12.58 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

78

0

78

14969

27

1449

191.9

20.85

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

12.332 ± 0.652

0.808 ± 0.133

6.901 ± 0.25

5.839 ± 0.306

2.645 ± 0.163

8.538 ± 0.416

1.917 ± 0.231

4.964 ± 0.179

2.986 ± 0.181

7.756 ± 0.241

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.111 ± 0.109

2.879 ± 0.224

5.712 ± 0.17

3.694 ± 0.27

7.475 ± 0.371

5.471 ± 0.219

6.734 ± 0.325

7.101 ± 0.266

2.011 ± 0.142

2.124 ± 0.144

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