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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...

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Detalles Bibliográficos
Autores principales: Manavalan, Balachandran, Lee, Juyong, Lee, Jooyoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
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