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Random Forest-Based Protein Model Quality Assessment (RFMQA) Using Structural Features and Potential Energy Terms
Recently, predicting proteins three-dimensional (3D) structure from its sequence information has made a significant progress due to the advances in computational techniques and the growth of experimental structures. However, selecting good models from a structural model pool is an important and chal...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2014
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4164442/ https://www.ncbi.nlm.nih.gov/pubmed/25222008 http://dx.doi.org/10.1371/journal.pone.0106542 |