Macaca mulata papillomavirus 1 (Rhpv 1) (Rhesus papillomavirus type 1)

Taxonomy: Viruses; Monodnaviria; Shotokuvirae; Cossaviricota; Papovaviricetes; Zurhausenvirales; Papillomaviridae; Firstpapillomavirinae; Alphapapillomavirus; Alphapapillomavirus 12

Average proteome isoelectric point is 6.65

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:
>sp|P22163|VL1_MMPV1 Major capsid protein L1 OS=Macaca mulata papillomavirus 1 OX=2779844 GN=L1 PE=3 SV=2
MM1 pKa = 7.69IGPKK5 pKa = 8.52PTLEE9 pKa = 5.4DD10 pKa = 3.16IVLDD14 pKa = 4.08LQPFPQPQPVDD25 pKa = 3.54LMCYY29 pKa = 8.58EE30 pKa = 4.12QLSDD34 pKa = 3.48SSEE37 pKa = 4.59DD38 pKa = 3.57EE39 pKa = 4.92DD40 pKa = 5.57EE41 pKa = 4.74VDD43 pKa = 3.15HH44 pKa = 6.64HH45 pKa = 7.34HH46 pKa = 7.15NNQQQHH52 pKa = 5.39HH53 pKa = 4.26QHH55 pKa = 6.09ARR57 pKa = 11.84PEE59 pKa = 4.11VPEE62 pKa = 6.26DD63 pKa = 3.68GDD65 pKa = 3.86CYY67 pKa = 10.75RR68 pKa = 11.84IVSDD72 pKa = 5.19CYY74 pKa = 11.13SCGKK78 pKa = 9.31PLRR81 pKa = 11.84LVVVSSHH88 pKa = 5.85EE89 pKa = 3.97EE90 pKa = 3.79LRR92 pKa = 11.84VLEE95 pKa = 4.47DD96 pKa = 3.91LLMGTLDD103 pKa = 3.87IVCPSCASRR112 pKa = 11.84VV113 pKa = 3.53

Molecular weight:
12.82 kDa
Isoelectric point according different methods:






Protein with the highest isoelectric point:
>sp|P24834|VE5_MMPV1 Probable protein E5 OS=Macaca mulata papillomavirus 1 OX=2779844 GN=E5 PE=4 SV=1
MM1 pKa = 6.86VVCIGTQWSHH11 pKa = 6.3FKK13 pKa = 10.13PVHH16 pKa = 5.33TLNSIQVLCKK26 pKa = 10.64ANCCCYY32 pKa = 10.49ACKK35 pKa = 9.96PPPFCCFWLCFCCCFCLALCFVHH58 pKa = 7.05LLSRR62 pKa = 11.84CFCVFPVCLSVAAYY76 pKa = 9.91AVVLGVHH83 pKa = 5.9SEE85 pKa = 4.26PVCSFWSVFVLFFNPVAFDD104 pKa = 3.73TPACPQCGLQQNDD117 pKa = 2.98VNTAHH122 pKa = 6.74RR123 pKa = 11.84HH124 pKa = 4.67VIISYY129 pKa = 8.34FAIVAVNIYY138 pKa = 10.02FVLALLVGAAFKK150 pKa = 9.84ATSRR154 pKa = 11.84ARR156 pKa = 11.84TT157 pKa = 3.45

Molecular weight:
17.4 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

2510

91

625

313.8

34.82

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

6.813 ± 0.717

3.386 ± 1.18

5.657 ± 0.703

4.94 ± 0.721

3.785 ± 0.611

7.012 ± 0.627

3.028 ± 0.398

3.586 ± 0.411

4.781 ± 0.603

8.606 ± 0.56

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

1.753 ± 0.299

3.665 ± 0.592

6.494 ± 1.0

4.462 ± 0.604

5.1 ± 0.601

7.53 ± 0.936

6.215 ± 0.618

8.048 ± 0.559

1.594 ± 0.329

3.546 ± 0.291

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