Mycoplasma nasistruthionis

Taxonomy: cellular organisms; Bacteria; Terrabacteria group; Tenericutes; Mollicutes; Mycoplasmatales; Mycoplasmataceae; Mycoplasma

Average proteome isoelectric point is 7.01

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 565 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|A0A4Y6I772|A0A4Y6I772_9MOLU GAF domain-containing protein OS=Mycoplasma nasistruthionis OX=353852 GN=FIV53_02640 PE=4 SV=1
MM1 pKa = 7.47ISEE4 pKa = 4.63YY5 pKa = 10.58FSSAYY10 pKa = 9.87LANSVDD16 pKa = 4.13LDD18 pKa = 4.2SNSSFKK24 pKa = 11.21AFFAFVSSVSSAPCLLPSTGTGAGLGAGAGAGAGVGAGLGAGLGAGAGAGLDD76 pKa = 3.3PSVFSFLLLSLGVFLSLAPHH96 pKa = 6.66EE97 pKa = 4.76AATADD102 pKa = 3.6TASTLKK108 pKa = 10.67EE109 pKa = 3.94PLNSGSQNFNFRR121 pKa = 11.84IMFFLSSFINLIFQNNPLSFGQDD144 pKa = 3.09LSS146 pKa = 3.78

Molecular weight:
14.63 kDa
Isoelectric point according different methods:






Protein with the highest isoelectric point:
>tr|A0A4Y6I736|A0A4Y6I736_9MOLU S8/S53 family peptidase OS=Mycoplasma nasistruthionis OX=353852 GN=FIV53_02810 PE=4 SV=1
MM1 pKa = 7.49ARR3 pKa = 11.84ILNVEE8 pKa = 3.67IPNNKK13 pKa = 9.04RR14 pKa = 11.84VVISLTYY21 pKa = 9.84IYY23 pKa = 10.76GIGNSLARR31 pKa = 11.84EE32 pKa = 3.84ICATAKK38 pKa = 9.75IDD40 pKa = 3.48EE41 pKa = 4.7SKK43 pKa = 10.53RR44 pKa = 11.84VHH46 pKa = 6.1NLSEE50 pKa = 4.4EE51 pKa = 3.87EE52 pKa = 3.92LQRR55 pKa = 11.84IRR57 pKa = 11.84EE58 pKa = 4.05AAKK61 pKa = 10.21EE62 pKa = 3.78YY63 pKa = 8.16MTEE66 pKa = 3.8GDD68 pKa = 3.97LRR70 pKa = 11.84RR71 pKa = 11.84DD72 pKa = 3.14TAQNIKK78 pKa = 10.64RR79 pKa = 11.84LMQIKK84 pKa = 9.66CYY86 pKa = 10.31RR87 pKa = 11.84GMRR90 pKa = 11.84HH91 pKa = 6.14RR92 pKa = 11.84KK93 pKa = 7.99GLPVRR98 pKa = 11.84GQSTKK103 pKa = 10.7KK104 pKa = 9.97NARR107 pKa = 11.84TRR109 pKa = 11.84KK110 pKa = 9.64GPRR113 pKa = 11.84KK114 pKa = 8.46NCCRR118 pKa = 11.84KK119 pKa = 9.46EE120 pKa = 3.87RR121 pKa = 3.81

Molecular weight:
14.13 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

565

0

565

212551

37

3460

376.2

42.9

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

5.96 ± 0.118

0.426 ± 0.027

5.772 ± 0.095

6.4 ± 0.094

5.219 ± 0.101

4.476 ± 0.109

1.401 ± 0.044

8.116 ± 0.102

9.316 ± 0.103

9.856 ± 0.114

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

1.59 ± 0.047

7.986 ± 0.157

2.941 ± 0.057

4.21 ± 0.074

2.871 ± 0.065

6.714 ± 0.091

5.617 ± 0.091

6.001 ± 0.077

0.881 ± 0.031

4.247 ± 0.074

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