Staphylococcus virus phiNM2

Taxonomy: Viruses; Duplodnaviria; Heunggongvirae; Uroviricota; Caudoviricetes; Caudovirales; Siphoviridae; Azeredovirinae; Dubowvirus

Average proteome isoelectric point is 6.16

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 66 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|A0EWR0|A0EWR0_9CAUD Uncharacterized protein OS=Staphylococcus virus phiNM2 OX=387908 PE=4 SV=1
MM1 pKa = 6.89QQQAYY6 pKa = 9.38INATIDD12 pKa = 2.95IRR14 pKa = 11.84IPTEE18 pKa = 3.49VEE20 pKa = 3.58YY21 pKa = 10.91QYY23 pKa = 11.49FDD25 pKa = 3.82DD26 pKa = 5.0VDD28 pKa = 3.64IEE30 pKa = 4.33KK31 pKa = 10.59EE32 pKa = 3.88ALADD36 pKa = 3.61YY37 pKa = 10.58LYY39 pKa = 11.17NNPDD43 pKa = 3.26EE44 pKa = 4.53LLEE47 pKa = 3.95YY48 pKa = 11.05DD49 pKa = 3.49NLKK52 pKa = 9.69IRR54 pKa = 11.84NVNVEE59 pKa = 3.93VEE61 pKa = 4.1

Molecular weight: 7.3 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|A0EWR1|A0EWR1_9CAUD Uncharacterized protein OS=Staphylococcus virus phiNM2 OX=387908 PE=4 SV=1
MM1 pKa = 7.33SVVKK5 pKa = 10.74INGKK9 pKa = 8.17PYY11 pKa = 10.87KK12 pKa = 9.54FTEE15 pKa = 4.42HH16 pKa = 6.09EE17 pKa = 4.0NEE19 pKa = 4.33LIKK22 pKa = 11.15KK23 pKa = 9.98NGLTPGMVAKK33 pKa = 10.32RR34 pKa = 11.84VRR36 pKa = 11.84GGWALLEE43 pKa = 4.43ALNAPYY49 pKa = 11.07GMRR52 pKa = 11.84LAEE55 pKa = 4.12YY56 pKa = 10.47KK57 pKa = 10.61EE58 pKa = 4.27IVLSRR63 pKa = 11.84IMQRR67 pKa = 11.84EE68 pKa = 4.09SKK70 pKa = 9.86EE71 pKa = 3.9RR72 pKa = 11.84EE73 pKa = 3.59IARR76 pKa = 11.84QRR78 pKa = 11.84RR79 pKa = 11.84KK80 pKa = 9.55EE81 pKa = 3.74VEE83 pKa = 3.54LRR85 pKa = 11.84KK86 pKa = 9.91RR87 pKa = 11.84KK88 pKa = 8.61PHH90 pKa = 6.59LFNVPQKK97 pKa = 10.53HH98 pKa = 6.08SRR100 pKa = 11.84DD101 pKa = 3.97PYY103 pKa = 10.08WFDD106 pKa = 3.01VTYY109 pKa = 11.33NQMFKK114 pKa = 10.23KK115 pKa = 9.86WSEE118 pKa = 3.76AA119 pKa = 3.32

Molecular weight: 14.23 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

66

0

66

13547

38

1154

205.3

23.53

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

5.721 ± 0.407

0.546 ± 0.088

6.385 ± 0.315

7.884 ± 0.616

4.326 ± 0.215

5.558 ± 0.275

1.631 ± 0.159

7.396 ± 0.335

9.279 ± 0.382

7.603 ± 0.291

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.488 ± 0.148

6.68 ± 0.265

2.849 ± 0.231

3.883 ± 0.157

4.045 ± 0.248

5.669 ± 0.248

6.164 ± 0.307

6.267 ± 0.319

1.137 ± 0.181

4.488 ± 0.367
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