Staphylococcus phage phi13 (Bacteriophage phi-13)

Taxonomy: Viruses; Duplodnaviria; Heunggongvirae; Uroviricota; Caudoviricetes; Caudovirales; Siphoviridae; Bronfenbrennervirinae; Peeveelvirus

Average proteome isoelectric point is 6.56

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 49 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|Q8SDM7|Q8SDM7_BPPHD Phi PVL orf 38-like protein OS=Staphylococcus phage phi13 OX=186153 PE=4 SV=1
MM1 pKa = 7.37YY2 pKa = 10.53YY3 pKa = 10.57KK4 pKa = 10.33IGDD7 pKa = 3.65VCQKK11 pKa = 10.3VINVDD16 pKa = 3.25GFDD19 pKa = 3.6FKK21 pKa = 11.42LAVKK25 pKa = 9.85KK26 pKa = 10.12QDD28 pKa = 3.2YY29 pKa = 10.32SILVNVLDD37 pKa = 4.96LEE39 pKa = 4.42DD40 pKa = 4.68RR41 pKa = 11.84FIDD44 pKa = 5.06GINITDD50 pKa = 3.74EE51 pKa = 4.19NDD53 pKa = 3.16LYY55 pKa = 10.98TALDD59 pKa = 3.59ILNQSIYY66 pKa = 10.54EE67 pKa = 4.12WIEE70 pKa = 3.74EE71 pKa = 4.22NTDD74 pKa = 3.05EE75 pKa = 5.72RR76 pKa = 11.84DD77 pKa = 3.38RR78 pKa = 11.84LINLVMRR85 pKa = 11.84WW86 pKa = 3.24

Molecular weight:
10.25 kDa
Isoelectric point according different methods:






Protein with the highest isoelectric point:
>tr|Q9MBP9|Q9MBP9_BPPHD Prohead protease OS=Staphylococcus phage phi13 OX=186153 PE=4 SV=1
MM1 pKa = 7.42GARR4 pKa = 11.84IEE6 pKa = 4.59SNNIEE11 pKa = 4.18QGLKK15 pKa = 10.42NAVLKK20 pKa = 10.7MNLNSNVIVKK30 pKa = 10.08AGAMSLVPLLKK41 pKa = 10.86SNTPFANTKK50 pKa = 9.27KK51 pKa = 9.95HH52 pKa = 5.78ARR54 pKa = 11.84DD55 pKa = 3.92HH56 pKa = 6.19IAVSNVKK63 pKa = 8.84TDD65 pKa = 2.81RR66 pKa = 11.84HH67 pKa = 4.91TSEE70 pKa = 4.85KK71 pKa = 10.29IVTIGYY77 pKa = 10.15AKK79 pKa = 10.15GVSHH83 pKa = 7.61RR84 pKa = 11.84IHH86 pKa = 5.72ATEE89 pKa = 4.86FGTMYY94 pKa = 10.3QKK96 pKa = 10.66PQLFITKK103 pKa = 7.84TEE105 pKa = 3.97KK106 pKa = 9.85QGKK109 pKa = 8.76NKK111 pKa = 9.58VLKK114 pKa = 10.18TMLDD118 pKa = 3.43TAKK121 pKa = 10.54RR122 pKa = 11.84LQKK125 pKa = 10.81

Molecular weight:
13.91 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

49

0

49

11118

52

1550

226.9

26.01

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

5.469 ± 0.435

0.612 ± 0.122

6.242 ± 0.334

7.501 ± 0.476

4.092 ± 0.288

5.9 ± 0.485

1.736 ± 0.211

7.78 ± 0.281

9.462 ± 0.331

8.05 ± 0.34

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.509 ± 0.222

6.53 ± 0.247

2.581 ± 0.176

3.832 ± 0.228

4.389 ± 0.264

5.936 ± 0.237

5.972 ± 0.286

5.864 ± 0.262

1.178 ± 0.138

4.362 ± 0.293

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