Mycobacterium phage Marley1013
Average proteome isoelectric point is 5.97
Get precalculated fractions of proteins
Acidic
pI < 6.8
6.8-7.4
pI > 7.4
Basic
All
Note: above files contain also dissociation constants (pKa)
Virtual 2D-PAGE plot for 101 proteins (isoelectric point calculated using IPC2_protein)
Get csv file with sequences according to given criteria:
* 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|A0A3G8FGG4|A0A3G8FGG4_9CAUD Uncharacterized protein OS=Mycobacterium phage Marley1013 OX=2488787 GN=34 PE=4 SV=1
MM1 pKa = 7.18 AQDD4 pKa = 3.55 VNLGAVFDD12 pKa = 4.8 DD13 pKa = 5.21 ALTADD18 pKa = 3.87 EE19 pKa = 4.77 WWDD22 pKa = 3.52 EE23 pKa = 4.23 FNANACCPDD32 pKa = 3.74 SVTAAARR39 pKa = 11.84 LCGCGGSGRR48 pKa = 11.84 IPTGISRR55 pKa = 11.84 LLL57 pKa = 3.6
Molecular weight: 5.95 kDa
Isoelectric point according different methods:
IPC2.protein.svr19 3.76
IPC2_protein 3.923
IPC_protein 3.795
Toseland 3.592
ProMoST 4.012
Dawson 3.808
Bjellqvist 3.986
Wikipedia 3.808
Rodwell 3.63
Grimsley 3.516
Solomon 3.783
Lehninger 3.732
Nozaki 3.961
DTASelect 4.19
Thurlkill 3.694
EMBOSS 3.808
Sillero 3.923
Patrickios 1.926
IPC_peptide 3.77
IPC2_peptide 3.884
IPC2.peptide.svr19 3.832
Protein with the highest isoelectric point:
>tr|A0A3G8FJC1|A0A3G8FJC1_9CAUD Uncharacterized protein OS=Mycobacterium phage Marley1013 OX=2488787 GN=80 PE=4 SV=1
MM1 pKa = 7.56 APKK4 pKa = 8.8 KK5 pKa = 9.17 TPATRR10 pKa = 11.84 EE11 pKa = 3.97 SPVFIRR17 pKa = 11.84 MASPEE22 pKa = 3.86 DD23 pKa = 3.23 RR24 pKa = 11.84 TRR26 pKa = 11.84 FKK28 pKa = 10.96 VAAAEE33 pKa = 4.72 DD34 pKa = 4.03 GLSYY38 pKa = 11.53 ADD40 pKa = 5.46 LISSLLDD47 pKa = 3.4 LRR49 pKa = 11.84 DD50 pKa = 3.3 DD51 pKa = 3.78 RR52 pKa = 11.84 NRR54 pKa = 11.84 RR55 pKa = 11.84 RR56 pKa = 11.84 RR57 pKa = 11.84 AAMAHH62 pKa = 6.2 PLDD65 pKa = 3.6 TRR67 pKa = 11.84 RR68 pKa = 11.84 NAGG71 pKa = 3.17
Molecular weight: 8.01 kDa
Isoelectric point according different methods:
IPC2.protein.svr19 9.33
IPC2_protein 9.531
IPC_protein 10.643
Toseland 10.891
ProMoST 10.906
Dawson 10.935
Bjellqvist 10.73
Wikipedia 11.242
Rodwell 10.921
Grimsley 10.965
Solomon 11.213
Lehninger 11.155
Nozaki 10.862
DTASelect 10.73
Thurlkill 10.877
EMBOSS 11.33
Sillero 10.891
Patrickios 10.716
IPC_peptide 11.213
IPC2_peptide 9.823
IPC2.peptide.svr19 8.919
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
101
0
101
21987
36
1912
217.7
23.51
Amino acid frequency
Ala
Cys
Asp
Glu
Phe
Gly
His
Ile
Lys
Leu
11.411 ± 0.3
1.105 ± 0.159
6.922 ± 0.268
5.954 ± 0.281
2.638 ± 0.105
9.401 ± 0.661
1.728 ± 0.133
4.853 ± 0.197
3.247 ± 0.182
7.827 ± 0.305
Met
Asn
Gln
Pro
Arg
Ser
Thr
Val
Trp
Tyr
2.151 ± 0.123
2.824 ± 0.137
6.017 ± 0.228
3.129 ± 0.15
6.731 ± 0.433
5.453 ± 0.191
6.681 ± 0.23
7.732 ± 0.255
1.947 ± 0.149
2.247 ± 0.156
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