Tortoise microvirus 38

Taxonomy: Viruses; Monodnaviria; Sangervirae; Phixviricota; Malgrandaviricetes; Petitvirales; Microviridae; unclassified Microviridae

Average proteome isoelectric point is 7.57

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 7 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|A0A4P8W6X2|A0A4P8W6X2_9VIRU Peptidase_M15_4 domain-containing protein OS=Tortoise microvirus 38 OX=2583141 PE=4 SV=1
MM1 pKa = 7.45KK2 pKa = 10.06FDD4 pKa = 4.63PFSQQEE10 pKa = 3.97VSTNEE15 pKa = 4.05TVWFGKK21 pKa = 10.31GRR23 pKa = 11.84LRR25 pKa = 11.84LSLSARR31 pKa = 11.84CPLYY35 pKa = 10.5IEE37 pKa = 4.5AQGIEE42 pKa = 4.24ALAGIAEE49 pKa = 4.4TFDD52 pKa = 4.46LDD54 pKa = 3.84LSEE57 pKa = 4.48EE58 pKa = 4.04VSFRR62 pKa = 11.84VEE64 pKa = 3.49APEE67 pKa = 4.02GVRR70 pKa = 11.84AFLRR74 pKa = 11.84VPEE77 pKa = 4.18PTSFEE82 pKa = 4.11PEE84 pKa = 3.9GEE86 pKa = 4.14VFTNIDD92 pKa = 3.75RR93 pKa = 11.84MPHH96 pKa = 5.68EE97 pKa = 5.04SGSVAEE103 pKa = 4.57VTRR106 pKa = 11.84AMRR109 pKa = 11.84LFEE112 pKa = 4.34LEE114 pKa = 3.24RR115 pKa = 11.84RR116 pKa = 11.84AALRR120 pKa = 11.84EE121 pKa = 3.78IRR123 pKa = 11.84EE124 pKa = 4.05EE125 pKa = 4.08AEE127 pKa = 3.8EE128 pKa = 4.69LRR130 pKa = 11.84TLRR133 pKa = 11.84QAAKK137 pKa = 9.42PQAQPIHH144 pKa = 6.38QGEE147 pKa = 4.75GEE149 pKa = 4.13AEE151 pKa = 4.09ALVDD155 pKa = 4.11EE156 pKa = 5.45ADD158 pKa = 4.57DD159 pKa = 4.2GAAAA163 pKa = 4.39

Molecular weight:
18.16 kDa
Isoelectric point according different methods:






Protein with the highest isoelectric point:
>tr|A0A4P8W692|A0A4P8W692_9VIRU Uncharacterized protein OS=Tortoise microvirus 38 OX=2583141 PE=4 SV=1
MM1 pKa = 6.95VPNYY5 pKa = 10.48RR6 pKa = 11.84LFEE9 pKa = 4.3KK10 pKa = 10.55RR11 pKa = 11.84SLPVVSQPVTEE22 pKa = 4.43GRR24 pKa = 11.84STVLNSTKK32 pKa = 10.66AVLLHH37 pKa = 5.15TAIRR41 pKa = 11.84TILPALMGAVGALVATLAPIYY62 pKa = 10.67HH63 pKa = 6.48NAFCGITPP71 pKa = 4.38

Molecular weight:
7.59 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

7

0

7

1726

71

561

246.6

27.35

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

10.429 ± 0.666

0.753 ± 0.336

5.852 ± 0.629

6.373 ± 1.356

3.708 ± 0.311

7.648 ± 1.819

2.317 ± 0.755

3.882 ± 0.215

4.809 ± 0.708

8.691 ± 0.315

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.144 ± 0.117

3.94 ± 0.842

6.489 ± 0.436

3.592 ± 0.581

7.822 ± 1.035

5.156 ± 0.484

5.562 ± 0.537

6.779 ± 0.713

1.854 ± 0.473

2.202 ± 0.398

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