Wuhan heteroptera virus 1

Taxonomy: Viruses; Riboviria; unclassified Riboviria; unclassified RNA viruses ShiM-2016

Average proteome isoelectric point is 7.16

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 8 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|A0A1L3KK66|A0A1L3KK66_9VIRU Helicase OS=Wuhan heteroptera virus 1 OX=1923701 PE=4 SV=1
MM1 pKa = 7.3NCKK4 pKa = 10.1FCYY7 pKa = 10.24SNNNNFIFSINMVDD21 pKa = 4.49FFPDD25 pKa = 3.77FLNAYY30 pKa = 9.76AKK32 pKa = 10.33IFTNPAIIVLYY43 pKa = 9.09IACVVQMIEE52 pKa = 4.49MEE54 pKa = 4.35QQTTPTLFQHH64 pKa = 7.15LIDD67 pKa = 4.11ITSDD71 pKa = 3.13AANEE75 pKa = 4.11SSALPIAAALAKK87 pKa = 10.59AIVWLLKK94 pKa = 10.78LVDD97 pKa = 3.78KK98 pKa = 10.53FKK100 pKa = 10.87IQIIPQVFVWVPYY113 pKa = 10.01FMKK116 pKa = 9.69EE117 pKa = 4.07TSSNLYY123 pKa = 7.97FTLIFSVVSLIYY135 pKa = 10.59SSWSTLQTFLYY146 pKa = 9.02GQVWYY151 pKa = 10.44LFTEE155 pKa = 4.82MEE157 pKa = 4.46GKK159 pKa = 8.49WNKK162 pKa = 9.83VLVGVFAIVSFIYY175 pKa = 10.57EE176 pKa = 4.1PFGFHH181 pKa = 6.17QDD183 pKa = 3.62SPIHH187 pKa = 5.88SAVSSLVLQIPTFNYY202 pKa = 8.17TNIRR206 pKa = 11.84RR207 pKa = 11.84SVTT210 pKa = 3.14

Molecular weight: 24.13 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|A0A1L3KJN0|A0A1L3KJN0_9VIRU Uncharacterized protein OS=Wuhan heteroptera virus 1 OX=1923701 PE=4 SV=1
MM1 pKa = 7.51SLTDD5 pKa = 3.68FTEE8 pKa = 5.04IIQNFVTLYY17 pKa = 10.46PEE19 pKa = 4.34VEE21 pKa = 4.3VSGVALLYY29 pKa = 10.44KK30 pKa = 10.13PRR32 pKa = 11.84SEE34 pKa = 5.23LIYY37 pKa = 10.67SVSFSNIPPFTFNICYY53 pKa = 9.81FDD55 pKa = 3.19QLLRR59 pKa = 11.84FFRR62 pKa = 11.84AYY64 pKa = 10.8NFFPFRR70 pKa = 11.84IKK72 pKa = 10.67DD73 pKa = 3.42LRR75 pKa = 11.84LVRR78 pKa = 11.84FRR80 pKa = 11.84QNEE83 pKa = 4.09IEE85 pKa = 3.97QHH87 pKa = 4.67RR88 pKa = 11.84WQLQFVRR95 pKa = 11.84RR96 pKa = 11.84TTFISHH102 pKa = 7.34ILQQ105 pKa = 3.65

Molecular weight: 12.85 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

8

0

8

4906

105

3193

613.3

70.1

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

4.158 ± 0.356

1.61 ± 0.298

5.259 ± 0.783

4.79 ± 0.649

6.095 ± 1.702

3.893 ± 0.459

1.936 ± 0.249

7.97 ± 0.594

6.4 ± 0.565

10.395 ± 0.338

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.161 ± 0.218

6.849 ± 0.81

4.382 ± 0.339

2.792 ± 0.516

3.832 ± 0.506

8.581 ± 1.121

6.054 ± 0.885

7.236 ± 0.67

0.938 ± 0.234

4.668 ± 0.623
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