Mycobacterium phage WillSterrel

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

Average proteome isoelectric point is 6.3

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|A0A1C9M061|A0A1C9M061_9CAUD Uncharacterized protein OS=Mycobacterium phage WillSterrel OX=1897769 GN=SEA_WILLSTERREL_67 PE=4 SV=1
MM1 pKa = 7.71SDD3 pKa = 5.03CLLCDD8 pKa = 3.92HH9 pKa = 7.15PRR11 pKa = 11.84STHH14 pKa = 4.44TPEE17 pKa = 3.71CRR19 pKa = 11.84VRR21 pKa = 11.84MGINPDD27 pKa = 3.52DD28 pKa = 3.7MSVYY32 pKa = 8.7TACLCPGWEE41 pKa = 4.14GTEE44 pKa = 4.63DD45 pKa = 3.92GEE47 pKa = 4.78EE48 pKa = 4.1DD49 pKa = 3.26

Molecular weight:
5.47 kDa
Isoelectric point according different methods:






Protein with the highest isoelectric point:
>tr|A0A1C9M034|A0A1C9M034_9CAUD Uncharacterized protein OS=Mycobacterium phage WillSterrel OX=1897769 GN=SEA_WILLSTERREL_39 PE=4 SV=1
MM1 pKa = 7.7RR2 pKa = 11.84RR3 pKa = 11.84NEE5 pKa = 4.01KK6 pKa = 9.5SWRR9 pKa = 11.84YY10 pKa = 6.08WWTMPLLIAAGIIGPGLAAPEE31 pKa = 4.19AKK33 pKa = 10.36ADD35 pKa = 3.49ITSDD39 pKa = 3.54AFVMALDD46 pKa = 4.35SEE48 pKa = 5.11GITYY52 pKa = 10.39SSKK55 pKa = 10.3PAVINAGKK63 pKa = 10.15AICNILDD70 pKa = 3.25TGANHH75 pKa = 5.6VRR77 pKa = 11.84SINPRR82 pKa = 11.84TRR84 pKa = 11.84QLQPEE89 pKa = 4.28PLRR92 pKa = 11.84RR93 pKa = 11.84RR94 pKa = 11.84LFRR97 pKa = 11.84GCRR100 pKa = 11.84NRR102 pKa = 11.84IILPP106 pKa = 3.81

Molecular weight:
11.86 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

18675

30

1173

179.6

19.63

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

10.854 ± 0.539

1.323 ± 0.183

6.426 ± 0.21

5.644 ± 0.284

3.079 ± 0.222

8.825 ± 0.519

2.228 ± 0.172

4.305 ± 0.197

3.277 ± 0.199

7.25 ± 0.221

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.212 ± 0.128

3.395 ± 0.183

5.933 ± 0.19

3.422 ± 0.182

7.288 ± 0.44

6.072 ± 0.27

6.651 ± 0.225

7.106 ± 0.314

2.276 ± 0.153

2.436 ± 0.154

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