Pseudomonas phage HU1

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

Average proteome isoelectric point is 6.36

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 69 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|A0A4V0P313|A0A4V0P313_9CAUD NUMOD4 domain-containing protein OS=Pseudomonas phage HU1 OX=2056127 PE=4 SV=1
MM1 pKa = 7.53SNQLIGKK8 pKa = 9.2KK9 pKa = 9.34IVEE12 pKa = 4.17MKK14 pKa = 10.34IAADD18 pKa = 3.34KK19 pKa = 10.59EE20 pKa = 4.33AILFVTADD28 pKa = 3.82GEE30 pKa = 4.72SLVAKK35 pKa = 10.33VDD37 pKa = 3.87ADD39 pKa = 4.2CCSHH43 pKa = 5.85TWVEE47 pKa = 4.47SIEE50 pKa = 4.15MPALGLPFTINAVEE64 pKa = 4.27DD65 pKa = 3.79LDD67 pKa = 3.91MGKK70 pKa = 9.96EE71 pKa = 3.95PLSDD75 pKa = 4.04DD76 pKa = 4.08NYY78 pKa = 10.84EE79 pKa = 4.0HH80 pKa = 6.61LQFYY84 pKa = 8.69GAKK87 pKa = 9.56IVTDD91 pKa = 3.78KK92 pKa = 11.49GDD94 pKa = 4.24LIIDD98 pKa = 3.67YY99 pKa = 10.38RR100 pKa = 11.84NEE102 pKa = 3.98SNGYY106 pKa = 8.84YY107 pKa = 10.2GGEE110 pKa = 3.98ICWPGDD116 pKa = 3.07RR117 pKa = 11.84FYY119 pKa = 11.72GGVFEE124 pKa = 4.93QNVSSEE130 pKa = 4.11DD131 pKa = 3.16WVDD134 pKa = 3.39IVDD137 pKa = 3.91AGG139 pKa = 3.62

Molecular weight:
15.38 kDa
Isoelectric point according different methods:






Protein with the highest isoelectric point:
>tr|A0A4P2VP85|A0A4P2VP85_9CAUD Uncharacterized protein OS=Pseudomonas phage HU1 OX=2056127 PE=4 SV=1
MM1 pKa = 7.93AEE3 pKa = 4.65FYY5 pKa = 10.61CIKK8 pKa = 7.37THH10 pKa = 6.88RR11 pKa = 11.84RR12 pKa = 11.84IKK14 pKa = 7.87SHH16 pKa = 7.01CYY18 pKa = 8.67MGHH21 pKa = 6.74EE22 pKa = 4.1YY23 pKa = 10.21TPEE26 pKa = 3.51NTLIDD31 pKa = 3.63TRR33 pKa = 11.84GCRR36 pKa = 11.84MCRR39 pKa = 11.84RR40 pKa = 11.84CARR43 pKa = 11.84LNGSARR49 pKa = 11.84LRR51 pKa = 11.84KK52 pKa = 9.21FRR54 pKa = 11.84EE55 pKa = 3.69RR56 pKa = 11.84QAIANAAQTT65 pKa = 3.79

Molecular weight:
7.69 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

69

0

69

13394

42

2062

194.1

21.44

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

10.131 ± 0.535

1.075 ± 0.206

6.077 ± 0.249

6.398 ± 0.366

3.442 ± 0.181

7.966 ± 0.317

1.545 ± 0.167

5.219 ± 0.216

5.517 ± 0.248

8.078 ± 0.259

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

3.098 ± 0.162

4.136 ± 0.203

4.203 ± 0.205

4.98 ± 0.419

5.667 ± 0.21

5.667 ± 0.297

5.988 ± 0.302

6.481 ± 0.323

1.501 ± 0.165

2.83 ± 0.175

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