Gordonia phage BetterKatz

Taxonomy: Viruses; Duplodnaviria; Heunggongvirae; Uroviricota; Caudoviricetes; Caudovirales; Siphoviridae; Betterkatzvirus; Gordonia virus BetterKatz

Average proteome isoelectric point is 6.04

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 75 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|A0A142KC16|A0A142KC16_9CAUD Head-to-tail connector protein OS=Gordonia phage BetterKatz OX=1821551 GN=14 PE=4 SV=1
MM1 pKa = 7.74LGRR4 pKa = 11.84EE5 pKa = 4.37TVRR8 pKa = 11.84LRR10 pKa = 11.84LPAGTTPDD18 pKa = 4.15GDD20 pKa = 4.26PLPIAVPVEE29 pKa = 4.15VEE31 pKa = 4.01SCLVEE36 pKa = 4.22VLGGADD42 pKa = 3.64LVEE45 pKa = 4.74LGRR48 pKa = 11.84DD49 pKa = 3.46GATGGVRR56 pKa = 11.84VYY58 pKa = 10.31MPITSGVTAQHH69 pKa = 6.13DD70 pKa = 4.09VEE72 pKa = 5.07VRR74 pKa = 11.84GRR76 pKa = 11.84WYY78 pKa = 10.13EE79 pKa = 3.78IVGDD83 pKa = 4.31PEE85 pKa = 4.78PNLNDD90 pKa = 3.75DD91 pKa = 4.8PEE93 pKa = 5.31LSGYY97 pKa = 10.67VLTCTRR103 pKa = 11.84GEE105 pKa = 4.3GG106 pKa = 3.39

Molecular weight: 11.24 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|A0A142KC17|A0A142KC17_9CAUD Head-to-tail connector protein OS=Gordonia phage BetterKatz OX=1821551 GN=15 PE=4 SV=1
MM1 pKa = 6.99VRR3 pKa = 11.84VLADD7 pKa = 3.15PMPRR11 pKa = 11.84VRR13 pKa = 11.84AWLTDD18 pKa = 3.4NLVEE22 pKa = 4.24AEE24 pKa = 4.26VRR26 pKa = 11.84ADD28 pKa = 3.96VPPNWTLAAATRR40 pKa = 11.84PLVVVADD47 pKa = 4.35DD48 pKa = 4.71GGPVDD53 pKa = 3.35WPVRR57 pKa = 11.84SEE59 pKa = 3.64HH60 pKa = 6.27TIRR63 pKa = 11.84LVARR67 pKa = 11.84AKK69 pKa = 10.62SRR71 pKa = 11.84TEE73 pKa = 3.19ARR75 pKa = 11.84TTVRR79 pKa = 11.84LAAGRR84 pKa = 11.84LHH86 pKa = 5.6TAKK89 pKa = 9.79LTGIVVRR96 pKa = 11.84RR97 pKa = 11.84AGGSVIEE104 pKa = 4.56STDD107 pKa = 3.37KK108 pKa = 11.05ATGAYY113 pKa = 8.52LASVLVPIQARR124 pKa = 11.84TVEE127 pKa = 4.18LL128 pKa = 3.82

Molecular weight: 13.81 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

75

0

75

16056

37

1596

214.1

23.01

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

12.961 ± 0.445

0.878 ± 0.122

7.15 ± 0.228

5.313 ± 0.27

2.566 ± 0.176

9.274 ± 0.472

2.018 ± 0.192

4.03 ± 0.183

2.803 ± 0.278

8.041 ± 0.252

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

1.75 ± 0.114

2.74 ± 0.148

5.749 ± 0.328

3.002 ± 0.194

7.598 ± 0.426

5.306 ± 0.309

6.932 ± 0.296

7.947 ± 0.288

2.037 ± 0.1

1.906 ± 0.139
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