SCMCRYS: Predicting Protein Crystallization Using an Ensemble Scoring Card Method with Estimating Propensity Scores of P-Collocated Amino Acid Pairs

Existing methods for predicting protein crystallization obtain high accuracy using various types of complemented features and complex ensemble classifiers, such as support vector machine (SVM) and Random Forest classifiers. It is desirable to develop a simple and easily interpretable prediction meth...

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Detalles Bibliográficos
Autores principales: Charoenkwan, Phasit, Shoombuatong, Watshara, Lee, Hua-Chin, Chaijaruwanich, Jeerayut, Huang, Hui-Ling, Ho, Shinn-Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3760885/
https://www.ncbi.nlm.nih.gov/pubmed/24019868
http://dx.doi.org/10.1371/journal.pone.0072368

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3760885/
https://www.ncbi.nlm.nih.gov/pubmed/24019868
http://dx.doi.org/10.1371/journal.pone.0072368

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