Methanoregula formicica (strain DSM 22288 / NBRC 105244 / SMSP)

Taxonomy: cellular organisms; Archaea; Euryarchaeota; Stenosarchaea group; Methanomicrobia; Methanomicrobiales; Methanoregulaceae; Methanoregula; Methanoregula formicica

Average proteome isoelectric point is 6.4

Get precalculated fractions of proteins

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



Virtual 2D-PAGE plot for 2815 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|L0HIR6|L0HIR6_METFS Serine protease inhibitor OS=Methanoregula formicica (strain DSM 22288 / NBRC 105244 / SMSP) OX=593750 GN=Metfor_1970 PE=3 SV=1
MM1 pKa = 7.18NVSIQRR7 pKa = 11.84DD8 pKa = 3.45ACTSCGTCWEE18 pKa = 4.28TCPDD22 pKa = 3.72FFEE25 pKa = 5.32EE26 pKa = 4.79NPDD29 pKa = 3.43DD30 pKa = 4.59HH31 pKa = 6.99FSQVRR36 pKa = 11.84EE37 pKa = 4.07KK38 pKa = 10.62FRR40 pKa = 11.84SAGAIAEE47 pKa = 4.99GISPDD52 pKa = 3.9DD53 pKa = 4.04LEE55 pKa = 5.79ACVRR59 pKa = 11.84DD60 pKa = 3.89AADD63 pKa = 4.08LCPVQIISIADD74 pKa = 3.25

Molecular weight:
8.11 kDa
Isoelectric point according different methods:






Protein with the highest isoelectric point:
>tr|L0HGB9|L0HGB9_METFS Putative nucleotide-binding protein OS=Methanoregula formicica (strain DSM 22288 / NBRC 105244 / SMSP) OX=593750 GN=Metfor_1808 PE=4 SV=1
MM1 pKa = 7.3HH2 pKa = 7.55RR3 pKa = 11.84HH4 pKa = 5.94PEE6 pKa = 4.04VPEE9 pKa = 4.18LLEE12 pKa = 4.08QYY14 pKa = 9.63MEE16 pKa = 4.2ASRR19 pKa = 11.84TAEE22 pKa = 3.69CWVTVRR28 pKa = 11.84EE29 pKa = 4.06FRR31 pKa = 11.84SFFRR35 pKa = 11.84MDD37 pKa = 3.52EE38 pKa = 4.23SAGPAISGFLQRR50 pKa = 11.84IHH52 pKa = 6.95HH53 pKa = 6.47GPFHH57 pKa = 6.53ACRR60 pKa = 11.84YY61 pKa = 8.86RR62 pKa = 11.84VTRR65 pKa = 11.84MEE67 pKa = 4.39KK68 pKa = 10.45FRR70 pKa = 11.84DD71 pKa = 3.32TAPPYY76 pKa = 10.42RR77 pKa = 11.84IIKK80 pKa = 9.78KK81 pKa = 9.75YY82 pKa = 10.4LVQARR87 pKa = 11.84PAPRR91 pKa = 11.84SSRR94 pKa = 11.84SAAGRR99 pKa = 11.84EE100 pKa = 4.14KK101 pKa = 11.04NRR103 pKa = 3.73

Molecular weight:
12.19 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

2815

0

2815

810777

30

4078

288.0

31.75

Amino acid frequency

Ala

Cys

Asp

Glu

Phe

Gly

His

Ile

Lys

Leu

8.929 ± 0.065

1.366 ± 0.023

5.459 ± 0.03

6.181 ± 0.053

3.978 ± 0.035

7.724 ± 0.043

2.017 ± 0.02

7.247 ± 0.048

5.049 ± 0.046

9.091 ± 0.059

Met

Asn

Gln

Pro

Arg

Ser

Thr

Val

Trp

Tyr

2.588 ± 0.024

3.312 ± 0.037

4.873 ± 0.034

2.856 ± 0.024

5.707 ± 0.047

5.966 ± 0.045

6.079 ± 0.058

7.47 ± 0.04

1.049 ± 0.019

3.061 ± 0.03

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