Mycobacterium phage Gandalph

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

Average proteome isoelectric point is 6.0

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 104 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|A0A7G9UVG7|A0A7G9UVG7_9CAUD Uncharacterized protein OS=Mycobacterium phage Gandalph OX=2767557 GN=78 PE=4 SV=1
MM1 pKa = 7.52NNPEE5 pKa = 3.95LRR7 pKa = 11.84AVLTEE12 pKa = 3.88ALSRR16 pKa = 11.84SYY18 pKa = 11.18YY19 pKa = 10.27RR20 pKa = 11.84IVGSSSDD27 pKa = 3.53CRR29 pKa = 11.84VDD31 pKa = 3.2PGEE34 pKa = 4.22ILADD38 pKa = 5.07AILSLPGVAVIQLPEE53 pKa = 4.53PNSTRR58 pKa = 11.84YY59 pKa = 9.62EE60 pKa = 4.27DD61 pKa = 4.45EE62 pKa = 5.37DD63 pKa = 5.76DD64 pKa = 4.18EE65 pKa = 5.21FPPADD70 pKa = 4.77RR71 pKa = 11.84LAWWCPGSLFGISQWGYY88 pKa = 8.12PNEE91 pKa = 3.98VQIAYY96 pKa = 9.95NGEE99 pKa = 3.78PFEE102 pKa = 4.3PVDD105 pKa = 3.7IIEE108 pKa = 4.47ARR110 pKa = 11.84FIAAALLAAAAAAVVAEE127 pKa = 4.87GEE129 pKa = 4.39DD130 pKa = 3.55KK131 pKa = 11.29

Molecular weight:
14.23 kDa
Isoelectric point according different methods:






Protein with the highest isoelectric point:
>tr|A0A7G9UV96|A0A7G9UV96_9CAUD Head-to-tail adaptor OS=Mycobacterium phage Gandalph OX=2767557 GN=7 PE=4 SV=1
MM1 pKa = 7.38PRR3 pKa = 11.84APKK6 pKa = 9.28VCRR9 pKa = 11.84HH10 pKa = 6.48AGCTTLTTTGTCPQHH25 pKa = 4.95TTHH28 pKa = 7.16RR29 pKa = 11.84WGNHH33 pKa = 4.11QGRR36 pKa = 11.84KK37 pKa = 8.52VPHH40 pKa = 7.12RR41 pKa = 11.84LQQATFRR48 pKa = 11.84RR49 pKa = 11.84DD50 pKa = 2.52NWTCQSCGHH59 pKa = 6.37TATPGSGQLHH69 pKa = 7.21ADD71 pKa = 4.26HH72 pKa = 6.65IQPRR76 pKa = 11.84SRR78 pKa = 11.84GGTDD82 pKa = 2.69TLDD85 pKa = 4.14NMRR88 pKa = 11.84TLCKK92 pKa = 10.16ACHH95 pKa = 5.87APKK98 pKa = 10.41SRR100 pKa = 11.84AEE102 pKa = 3.92ARR104 pKa = 11.84GSNTT108 pKa = 3.16

Molecular weight:
11.91 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

104

0

104

17700

30

1174

170.2

18.63

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

10.514 ± 0.458

1.215 ± 0.192

6.644 ± 0.232

6.056 ± 0.339

2.853 ± 0.167

8.746 ± 0.664

2.209 ± 0.239

4.441 ± 0.238

3.384 ± 0.226

7.09 ± 0.22

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.305 ± 0.104

3.328 ± 0.192

5.966 ± 0.215

3.395 ± 0.211

7.023 ± 0.433

6.028 ± 0.311

6.638 ± 0.275

7.395 ± 0.299

2.305 ± 0.157

2.463 ± 0.181

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