Candidatus Rhodoluna planktonica

Taxonomy: cellular organisms; Bacteria; Terrabacteria group; Actinobacteria; Actinomycetia; Micrococcales; Microbacteriaceae; Luna cluster; Luna-1 subcluster; Rhodoluna

Average proteome isoelectric point is 6.28

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 1327 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|A0A1D9DXZ6|A0A1D9DXZ6_9MICO AB hydrolase-1 domain-containing protein OS=Candidatus Rhodoluna planktonica OX=535712 GN=A4Z71_01355 PE=4 SV=1
MM1 pKa = 7.25TRR3 pKa = 11.84LTTVAIMVGLAITLGGCATEE23 pKa = 4.48GAGEE27 pKa = 4.48LEE29 pKa = 4.56PTTQASEE36 pKa = 4.68TPVPTPDD43 pKa = 3.73PSLLPSEE50 pKa = 4.85APSDD54 pKa = 3.78AVEE57 pKa = 3.91VDD59 pKa = 3.32PAIFDD64 pKa = 4.46DD65 pKa = 5.19GFGDD69 pKa = 4.58LIFRR73 pKa = 11.84VGDD76 pKa = 3.55GPTWCTISTASQFVVCEE93 pKa = 4.06QNEE96 pKa = 4.0VAAQYY101 pKa = 10.89EE102 pKa = 4.85PIPVPDD108 pKa = 3.7TCDD111 pKa = 3.12YY112 pKa = 11.27SYY114 pKa = 11.26GYY116 pKa = 8.37QLRR119 pKa = 11.84LWANKK124 pKa = 8.75PAEE127 pKa = 4.31GDD129 pKa = 3.52TAEE132 pKa = 4.57FACSGGSYY140 pKa = 10.55ADD142 pKa = 3.81PSQAQTLNSGEE153 pKa = 4.51KK154 pKa = 9.68ISVSPFSCYY163 pKa = 9.35VDD165 pKa = 4.76EE166 pKa = 4.28ITARR170 pKa = 11.84CEE172 pKa = 4.08NEE174 pKa = 3.69SGAWIALGPKK184 pKa = 9.33VWGLNNN190 pKa = 3.4

Molecular weight:
20.05 kDa
Isoelectric point according different methods:






Protein with the highest isoelectric point:
>tr|A0A1D9E0S4|A0A1D9E0S4_9MICO FHA domain-containing protein OS=Candidatus Rhodoluna planktonica OX=535712 GN=A4Z71_06695 PE=4 SV=1
MM1 pKa = 7.69SKK3 pKa = 9.0RR4 pKa = 11.84TFQPNNRR11 pKa = 11.84RR12 pKa = 11.84RR13 pKa = 11.84AKK15 pKa = 8.7THH17 pKa = 5.25GFRR20 pKa = 11.84LRR22 pKa = 11.84MKK24 pKa = 9.06TRR26 pKa = 11.84AGRR29 pKa = 11.84AILAARR35 pKa = 11.84RR36 pKa = 11.84RR37 pKa = 11.84KK38 pKa = 9.35GRR40 pKa = 11.84QEE42 pKa = 3.69LSAA45 pKa = 5.08

Molecular weight:
5.34 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

1327

0

1327

441031

45

10946

332.4

35.98

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

11.596 ± 0.084

0.493 ± 0.015

5.294 ± 0.044

6.135 ± 0.11

3.875 ± 0.042

7.948 ± 0.079

1.7 ± 0.042

5.978 ± 0.044

4.393 ± 0.059

10.131 ± 0.136

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

1.89 ± 0.037

3.529 ± 0.077

4.398 ± 0.046

3.49 ± 0.039

5.297 ± 0.088

6.573 ± 0.087

5.697 ± 0.174

8.088 ± 0.066

1.265 ± 0.033

2.229 ± 0.027

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