Serratia phage Serbin

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

Average proteome isoelectric point is 6.88

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|A0A482MIF9|A0A482MIF9_9CAUD Uncharacterized protein OS=Serratia phage Serbin OX=2562181 GN=CPT_Serbin_024 PE=4 SV=1
MM1 pKa = 7.62IIVEE5 pKa = 4.78DD6 pKa = 4.2GSGVANANSYY16 pKa = 10.92VSLEE20 pKa = 3.97EE21 pKa = 3.98TKK23 pKa = 10.53QYY25 pKa = 11.47ALSRR29 pKa = 11.84GLTLPDD35 pKa = 4.53ADD37 pKa = 4.73PDD39 pKa = 3.92IEE41 pKa = 4.79SLMHH45 pKa = 5.88QAVDD49 pKa = 3.58YY50 pKa = 10.78LQYY53 pKa = 10.07NYY55 pKa = 10.12QYY57 pKa = 10.36KK58 pKa = 10.47GEE60 pKa = 4.1RR61 pKa = 11.84TYY63 pKa = 11.52PDD65 pKa = 3.62AEE67 pKa = 4.37LEE69 pKa = 4.19FPRR72 pKa = 11.84TGIKK76 pKa = 10.35GYY78 pKa = 10.88APDD81 pKa = 4.45QIPSRR86 pKa = 11.84IKK88 pKa = 9.56NAQMQLTALAYY99 pKa = 9.55EE100 pKa = 4.89HH101 pKa = 7.39DD102 pKa = 4.53LSPVTSSGVVRR113 pKa = 11.84EE114 pKa = 4.07KK115 pKa = 11.01VDD117 pKa = 3.9VIEE120 pKa = 4.19VQYY123 pKa = 11.49SDD125 pKa = 4.87GGDD128 pKa = 3.22TGPFQSDD135 pKa = 3.71MIDD138 pKa = 3.13NMMSPFTQSTSVGLLQQARR157 pKa = 11.84VVRR160 pKa = 11.84AA161 pKa = 3.35

Molecular weight: 17.82 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|A0A482MHZ5|A0A482MHZ5_9CAUD Nucleotide binding protein OS=Serratia phage Serbin OX=2562181 GN=CPT_Serbin_046 PE=4 SV=1
MM1 pKa = 7.65RR2 pKa = 11.84LDD4 pKa = 3.56GKK6 pKa = 9.19TIGTLTGTEE15 pKa = 3.93EE16 pKa = 4.88GIGRR20 pKa = 11.84MKK22 pKa = 10.5EE23 pKa = 3.73RR24 pKa = 11.84LFYY27 pKa = 10.88GHH29 pKa = 6.38FHH31 pKa = 6.73IPEE34 pKa = 4.61PNSTPTKK41 pKa = 9.41RR42 pKa = 11.84KK43 pKa = 8.64RR44 pKa = 11.84KK45 pKa = 9.35RR46 pKa = 11.84RR47 pKa = 11.84AA48 pKa = 2.86

Molecular weight: 5.57 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

13906

28

873

210.7

23.63

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

7.989 ± 0.54

1.079 ± 0.112

5.767 ± 0.196

7.011 ± 0.492

3.308 ± 0.155

7.817 ± 0.241

1.726 ± 0.179

5.357 ± 0.219

6.486 ± 0.387

8.644 ± 0.228

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.912 ± 0.133

4.142 ± 0.196

3.826 ± 0.254

4.135 ± 0.267

5.753 ± 0.292

5.947 ± 0.179

6.199 ± 0.319

6.357 ± 0.231

1.791 ± 0.121

3.754 ± 0.205
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