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The unexpected structure of the designed protein Octarellin V.1 forms a challenge for protein structure prediction tools
- Source :
- Journal of Structural Biology, Journal of Structural Biology, Elsevier, 2016, pp.19-30. ⟨10.1016/j.jsb.2016.05.004⟩, Journal of Structural Biology, Elsevier, 2016, pp.19-30. 〈10.1016/j.jsb.2016.05.004〉, Journal of Structural Biology, 2016, pp.19-30. ⟨10.1016/j.jsb.2016.05.004⟩
- Publication Year :
- 2016
- Publisher :
- HAL CCSD, 2016.
-
Abstract
- International audience; Despite impressive successes in protein design, designing a well-folded protein of more 100 amino acids de novo remains a formidable challenge. Exploiting the promising biophysical features of the artificial protein Octarellin V, we improved this protein by directed evolution, thus creating a more stable and soluble protein: Octarellin V.1. Next, we obtained crystals of Octarellin V.1 in complex with crystallization chaperons and determined the tertiary structure. The experimental structure of Octarellin V.1 differs from its in silico design: the (αβα) sandwich architecture bears some resemblance to a Rossman-like fold instead of the intended TIM-barrel fold. This surprising result gave us a unique and attractive opportunity to test the state of the art in protein structure prediction, using this artificial protein free of any natural selection. We tested 13 automated webservers for protein structure prediction and found none of them to predict the actual structure. More than 50% of them predicted a TIM-barrel fold, i.e. the structure we set out to design more than 10years ago. In addition, local software runs that are human operated can sample a structure similar to the experimental one but fail in selecting it, suggesting that the scoring and ranking functions should be improved. We propose that artificial proteins could be used as tools to test the accuracy of protein structure prediction algorithms, because their lack of evolutionary pressure and unique sequences features.
- Subjects :
- 0301 basic medicine
Protein Folding
In silico
[SDV]Life Sciences [q-bio]
Protein design
Molecular modeling
Computational biology
Biology
Crystallography, X-Ray
03 medical and health sciences
Structural Biology
Humans
Computer Simulation
030102 biochemistry & molecular biology
[ SDV ] Life Sciences [q-bio]
Artificial proteins
Proteins
Evolutionary pressure
Protein structure prediction
Directed evolution
Protein tertiary structure
Recombinant Proteins
Protein Structure, Tertiary
Crystallography
030104 developmental biology
De novo design
Protein folding
Threading (protein sequence)
Directed Molecular Evolution
Subjects
Details
- Language :
- English
- ISSN :
- 10478477 and 10958657
- Database :
- OpenAIRE
- Journal :
- Journal of Structural Biology, Journal of Structural Biology, Elsevier, 2016, pp.19-30. ⟨10.1016/j.jsb.2016.05.004⟩, Journal of Structural Biology, Elsevier, 2016, pp.19-30. 〈10.1016/j.jsb.2016.05.004〉, Journal of Structural Biology, 2016, pp.19-30. ⟨10.1016/j.jsb.2016.05.004⟩
- Accession number :
- edsair.doi.dedup.....190ec1f8c1ef0482214541f705913f6a