Pectobacterium phage PM1

Taxonomy: Viruses; Duplodnaviria; Heunggongvirae; Uroviricota; Caudoviricetes; Caudovirales; Chaseviridae; Cleopatravirinae; Suwonvirus; Pectobacterium virus PM1

Average proteome isoelectric point is 6.03

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 63 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|X2CSV3|X2CSV3_9CAUD DNA primase/helicase OS=Pectobacterium phage PM1 OX=1399915 GN=PM1_025 PE=4 SV=1
MM1 pKa = 7.73HH2 pKa = 6.63IQSRR6 pKa = 11.84GTGDD10 pKa = 4.08DD11 pKa = 3.85LFSVTDD17 pKa = 3.31ICTSPLFGGITLQYY31 pKa = 9.59FSPAANEE38 pKa = 4.09HH39 pKa = 6.35GLTGTVPYY47 pKa = 9.53FHH49 pKa = 7.18SIVWRR54 pKa = 11.84PDD56 pKa = 2.51WDD58 pKa = 4.23SNPTSATLEE67 pKa = 4.14DD68 pKa = 4.48AEE70 pKa = 4.59PVLL73 pKa = 4.93

Molecular weight: 7.98 kDa
Isoelectric point according different methods:





Protein with the highest isoelectric point:
>tr|X2CT54|X2CT54_9CAUD Putative endolysin OS=Pectobacterium phage PM1 OX=1399915 GN=PM1_063 PE=4 SV=1
MM1 pKa = 7.13LTAKK5 pKa = 10.31VLAFVLAGMLSNNAPASVGAFQQSASQIASQFYY38 pKa = 10.95LDD40 pKa = 4.35GNLKK44 pKa = 10.39LSHH47 pKa = 5.8TQQQEE52 pKa = 4.3LEE54 pKa = 4.27CLAKK58 pKa = 10.6VVWFEE63 pKa = 4.25ARR65 pKa = 11.84GEE67 pKa = 4.36SKK69 pKa = 9.56TGKK72 pKa = 8.65TMVANVVRR80 pKa = 11.84NRR82 pKa = 11.84TEE84 pKa = 3.67YY85 pKa = 10.77GKK87 pKa = 9.84PFATTICKK95 pKa = 9.56VVYY98 pKa = 10.11QPNQFAWTRR107 pKa = 11.84NSGKK111 pKa = 10.57KK112 pKa = 8.49NTTFRR117 pKa = 11.84QIIKK121 pKa = 10.24RR122 pKa = 11.84HH123 pKa = 5.61GEE125 pKa = 4.04TEE127 pKa = 3.95KK128 pKa = 10.92QAVLDD133 pKa = 3.81TLEE136 pKa = 4.22VSMHH140 pKa = 6.03AVLFPSSRR148 pKa = 11.84KK149 pKa = 5.44TTATHH154 pKa = 6.27FCSIGEE160 pKa = 3.97KK161 pKa = 10.47CKK163 pKa = 9.99FQRR166 pKa = 11.84VVKK169 pKa = 10.03LGRR172 pKa = 11.84VEE174 pKa = 3.67RR175 pKa = 11.84HH176 pKa = 4.88TFFKK180 pKa = 11.21YY181 pKa = 10.39LGNEE185 pKa = 3.77

Molecular weight: 20.81 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

63

0

63

14509

42

1279

230.3

25.44

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

8.981 ± 0.513

1.179 ± 0.166

5.776 ± 0.204

6.189 ± 0.397

3.811 ± 0.235

7.781 ± 0.399

2.054 ± 0.152

5.858 ± 0.266

5.734 ± 0.4

7.899 ± 0.318

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.716 ± 0.176

4.721 ± 0.215

3.749 ± 0.169

4.197 ± 0.207

4.687 ± 0.278

6.617 ± 0.361

6.175 ± 0.372

7.23 ± 0.328

1.365 ± 0.114

3.281 ± 0.163
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