Streptococcus satellite phage Javan97

Taxonomy: Viruses; unclassified bacterial viruses

Average proteome isoelectric point is 6.95

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 25 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|A0A4D6A286|A0A4D6A286_9VIRU Uncharacterized protein OS=Streptococcus satellite phage Javan97 OX=2558869 GN=JavanS97_0009 PE=4 SV=1
MM1 pKa = 6.14TTKK4 pKa = 10.32KK5 pKa = 10.42KK6 pKa = 10.26SLLGIGYY13 pKa = 9.85LSVAMLGASLLMAKK27 pKa = 9.66PVSAEE32 pKa = 3.92EE33 pKa = 4.11MSEE36 pKa = 4.25SGDD39 pKa = 3.27QAMRR43 pKa = 11.84LVTQTGNNGVVEE55 pKa = 4.69VIEE58 pKa = 4.02VAEE61 pKa = 4.21NGEE64 pKa = 3.94EE65 pKa = 4.1RR66 pKa = 11.84ILGSTQDD73 pKa = 3.58PYY75 pKa = 11.7FKK77 pKa = 10.96GRR79 pKa = 11.84DD80 pKa = 3.34DD81 pKa = 5.42GYY83 pKa = 11.29DD84 pKa = 2.83AGYY87 pKa = 10.79QDD89 pKa = 4.03GQKK92 pKa = 10.07PGAPEE97 pKa = 4.26TPSSDD102 pKa = 2.86IPEE105 pKa = 4.54PQDD108 pKa = 2.98IPSFYY113 pKa = 10.9DD114 pKa = 3.32EE115 pKa = 3.97SWYY118 pKa = 10.97KK119 pKa = 10.57NGYY122 pKa = 8.36NDD124 pKa = 4.99AYY126 pKa = 11.03VLGYY130 pKa = 10.66RR131 pKa = 11.84NGWDD135 pKa = 3.38DD136 pKa = 3.58NHH138 pKa = 6.86YY139 pKa = 10.29IWSTLRR145 pKa = 11.84NVWYY149 pKa = 10.29LVTSYY154 pKa = 10.34FYY156 pKa = 11.51

Molecular weight: 17.47 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|A0A4D5ZXM0|A0A4D5ZXM0_9VIRU Integrase OS=Streptococcus satellite phage Javan97 OX=2558869 GN=JavanS97_0001 PE=3 SV=1
MM1 pKa = 7.49AGSFRR6 pKa = 11.84QHH8 pKa = 6.21HH9 pKa = 6.18PAFDD13 pKa = 3.68NMLLADD19 pKa = 3.8DD20 pKa = 5.86RR21 pKa = 11.84IYY23 pKa = 11.27KK24 pKa = 9.51NRR26 pKa = 11.84RR27 pKa = 11.84PTIEE31 pKa = 3.9QNKK34 pKa = 7.86EE35 pKa = 3.61QQHH38 pKa = 5.43LKK40 pKa = 10.3KK41 pKa = 10.5LKK43 pKa = 8.78KK44 pKa = 9.76KK45 pKa = 9.78RR46 pKa = 11.84RR47 pKa = 11.84KK48 pKa = 9.22GQQ50 pKa = 3.06

Molecular weight: 6.09 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

25

0

25

3990

50

562

159.6

18.45

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

5.789 ± 0.35

0.526 ± 0.179

5.539 ± 0.43

7.669 ± 0.555

4.336 ± 0.311

5.113 ± 0.385

2.005 ± 0.263

7.243 ± 0.469

8.722 ± 0.554

10.251 ± 0.609

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.306 ± 0.253

5.439 ± 0.467

3.383 ± 0.45

4.486 ± 0.341

5.138 ± 0.425

5.639 ± 0.48

5.489 ± 0.473

5.113 ± 0.382

1.028 ± 0.175

4.787 ± 0.368
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