Microbacterium phage Megan

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

Average proteome isoelectric point is 5.88

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 90 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|A0A649VKN7|A0A649VKN7_9CAUD Uncharacterized protein OS=Microbacterium phage Megan OX=2656551 GN=14 PE=4 SV=1
MM1 pKa = 7.33TCGATEE7 pKa = 3.93ARR9 pKa = 11.84CVCVLDD15 pKa = 4.52AEE17 pKa = 4.7HH18 pKa = 7.56DD19 pKa = 4.22GPHH22 pKa = 5.74VCDD25 pKa = 4.58ASCGGSWEE33 pKa = 4.12GSEE36 pKa = 4.48ADD38 pKa = 3.35GTFRR42 pKa = 11.84IVLYY46 pKa = 9.44PGGVASPLAALALAFGWDD64 pKa = 3.93DD65 pKa = 4.82DD66 pKa = 5.37EE67 pKa = 5.64EE68 pKa = 6.54DD69 pKa = 3.74EE70 pKa = 5.93DD71 pKa = 4.4GG72 pKa = 4.9

Molecular weight: 7.42 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|A0A649VKS4|A0A649VKS4_9CAUD Uncharacterized protein OS=Microbacterium phage Megan OX=2656551 GN=55 PE=4 SV=1
MM1 pKa = 7.72SPEE4 pKa = 3.73HH5 pKa = 6.17TLALDD10 pKa = 3.36WTSPPLTEE18 pKa = 3.97NQRR21 pKa = 11.84LNRR24 pKa = 11.84WEE26 pKa = 3.7RR27 pKa = 11.84ARR29 pKa = 11.84RR30 pKa = 11.84VRR32 pKa = 11.84DD33 pKa = 3.46VRR35 pKa = 11.84ATTALWGRR43 pKa = 11.84RR44 pKa = 11.84IRR46 pKa = 11.84GARR49 pKa = 11.84RR50 pKa = 11.84VEE52 pKa = 4.8VILTWVVADD61 pKa = 3.5ARR63 pKa = 11.84KK64 pKa = 9.51RR65 pKa = 11.84DD66 pKa = 3.67EE67 pKa = 5.13DD68 pKa = 3.9NVVPTLKK75 pKa = 10.49ALCDD79 pKa = 3.86GLVDD83 pKa = 4.28AGVVPDD89 pKa = 3.67DD90 pKa = 3.68TPRR93 pKa = 11.84YY94 pKa = 6.86MVKK97 pKa = 10.34RR98 pKa = 11.84MPVVALRR105 pKa = 11.84RR106 pKa = 11.84GARR109 pKa = 11.84PHH111 pKa = 6.1MEE113 pKa = 3.9LLVRR117 pKa = 11.84VLDD120 pKa = 3.95VPTSDD125 pKa = 3.91VSASMTTEE133 pKa = 3.7ANASQRR139 pKa = 11.84KK140 pKa = 9.4AEE142 pKa = 3.99AA143 pKa = 3.63

Molecular weight: 16.18 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

90

0

90

17799

26

774

197.8

21.35

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

12.956 ± 0.359

1.107 ± 0.145

6.849 ± 0.296

6.27 ± 0.234

2.292 ± 0.129

8.557 ± 0.315

2.236 ± 0.195

4.219 ± 0.342

2.028 ± 0.127

7.748 ± 0.314

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.506 ± 0.129

2.247 ± 0.151

5.854 ± 0.188

2.961 ± 0.178

7.085 ± 0.393

5.815 ± 0.158

7.062 ± 0.317

7.731 ± 0.189

2.191 ± 0.154

2.287 ± 0.158
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