التفاصيل البيبلوغرافية
| العنوان: |
Prediction of Protein Structure Using Surface Accessibility Data. |
| المؤلفون: |
Hartlmüller, Christoph, Göbl, Christoph, Madl, Tobias |
| المصدر: |
Angewandte Chemie International Edition; 9/19/2016, Vol. 55 Issue 39, p11970-11974, 5p |
| مصطلحات موضوعية: |
PROTEIN structure, DATA analysis, MOLECULAR structure of actinin, ADAPTOR protein structure, ALGORITHMS |
| مستخلص: |
An approach to the de novo structure prediction of proteins is described that relies on surface accessibility data from NMR paramagnetic relaxation enhancements by a soluble paramagnetic compound (sPRE). This method exploits the distance-to-surface information encoded in the sPRE data in the chemical shift-based CS-Rosetta de novo structure prediction framework to generate reliable structural models. For several proteins, it is demonstrated that surface accessibility data is an excellent measure of the correct protein fold in the early stages of the computational folding algorithm and significantly improves accuracy and convergence of the standard Rosetta structure prediction approach. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
