A novel fusion protein tag, named “NE” - was designed as a tool for detection and purification of recombinant protein. This sequence is composed of 18 hydrophilic amino acids which does not share significant homology to any existing native protein. This synthetic peptide has least ordered secondary structure with strong immunogenicity. These properties offer stringent specificity to NE-tagged proteins, which are readily to be detected, quantitated, and purified.
Monoclonal anti-NE detection antibody is an affinity purified mouse immunoglobulin, IgG1, which binds to NE fusion proteins. This antibody is useful in a wide spectrum of applications including Western blotting, immunocytochemistry, immunoprecipitation, and affinity purification of NE fusion proteins when bound to solid support.
Applications: Protein detection, tracing, purification and quantification
Prediction method: Bent Petersen, Thomas Nordahl Petersen, Pernille Andersen, Morten Nielsen and Claus Lundegaard. A generic method for assignment of reliability scores applied to solvent accessibility predictions. BMC Structural Biology (2009) 9:51.
A | B | C | D | E | F | G | H | I |
---|---|---|---|---|---|---|---|---|
1 | T | E | 0.856 | 118.755 | -0.407 | 0.003 | 0.003 | 0.994 |
2 | K | E | 0.63 | 129.612 | -0.716 | 0.113 | 0.043 | 0.844 |
3 | E | E | 0.655 | 114.516 | -1.3 | 0.113 | 0.043 | 0.844 |
4 | N | E | 0.51 | 74.664 | -1.05 | 0.115 | 0.016 | 0.868 |
5 | P | E | 0.334 | 47.395 | -1.909 | 0.181 | 0.016 | 0.803 |
6 | R | E | 0.497 | 113.699 | -0.684 | 0.257 | 0.016 | 0.727 |
7 | S | E | 0.493 | 57.768 | -1.248 | 0.339 | 0.016 | 0.645 |
8 | N | E | 0.485 | 70.975 | -1.334 | 0.339 | 0.016 | 0.645 |
9 | Q | E | 0.422 | 75.298 | -0.615 | 0.43 | 0.016 | 0.555 |
10 | E | E | 0.552 | 96.452 | -0.64 | 0.455 | 0.046 | 0.498 |
11 | E | E | 0.554 | 96.714 | -0.378 | 0.455 | 0.046 | 0.498 |
12 | S | E | 0.456 | 53.42 | -1.265 | 0.354 | 0.048 | 0.598 |
13 | Y | B | 0.239 | 51.053 | -0.247 | 0.257 | 0.016 | 0.727 |
14 | D | E | 0.53 | 76.301 | -0.723 | 0.257 | 0.016 | 0.727 |
15 | D | E | 0.529 | 76.272 | -1.558 | 0.257 | 0.016 | 0.727 |
16 | N | E | 0.588 | 86.112 | -2.711 | 0.181 | 0.016 | 0.803 |
17 | E | E | 0.642 | 112.14 | -1.431 | 0.115 | 0.016 | 0.868 |
18 | S | E | 0.902 | 105.714 | -0.27 | 0.003 | 0.003 | 0.994 |
Column A: Amino acid number
Column B: Amino acid
Column C: Class assignment – B for buried or E for Exposed – Threshold: 25% exposure, but not based on RSA
Column D: Relative Surface Accessibility – RSA
Column E: Absolute Surface Accessibility
Column F: Z-fit score for RSA prediction
Column G: Probability for Alpha-Helix
Column H: Probability for Beta-Strand
Column I: Probability for Coil
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