MOPED: Method for optimizing physical energy parameters using decoys
| العنوان: | MOPED: Method for optimizing physical energy parameters using decoys |
|---|---|
| المؤلفون: | Chaok Seok, John D. Chodera, J. B. Rosen, Ken A. Dill |
| المصدر: | Journal of Computational Chemistry. 24:89-97 |
| بيانات النشر: | Wiley, 2002. |
| سنة النشر: | 2002 |
| مصطلحات موضوعية: | Computational model, Protein Conformation, Computer science, business.industry, Gaussian, Solvation, Computational Biology, Proteins, General Chemistry, Models, Theoretical, Force field (chemistry), Computational Mathematics, Nonlinear system, symbols.namesake, Present method, symbols, Artificial intelligence, Decoy, business, Algorithm, Algorithms |
| الوصف: | We present a method called MOPED for optimizing energetic and structural parameters in computational models, including all-atom energy functions, when native structures and decoys are given. The present method goes beyond previous approaches in treating energy functions that are nonlinear in the parameters and continuous in the degrees of freedom. We illustrate the method by improving solvation parameters in the energy function EEF1, which consists of the CHARMM19 polar hydrogen force field augmented by a Gaussian solvation term. Although the published parameters for EEF1 correctly discriminate the native from decoys in the decoy sets of Levitt et al., they fail on several of the more difficult decoy sets of Baker et al. MOPED successfully finds improved parameters that allow EEF1 to discriminate native from decoy structures on all protein structures that do not have metals or prosthetic groups. |
| تدمد: | 1096-987X 0192-8651 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b81f9bc01a3e0fe7d0ae50efd787516aTest https://doi.org/10.1002/jcc.10124Test |
| حقوق: | CLOSED |
| رقم الانضمام: | edsair.doi.dedup.....b81f9bc01a3e0fe7d0ae50efd787516a |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 1096987X 01928651 |
|---|