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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Charoenkwan, Phasit, Shoombuatong, Watshara, Lee, Hua-Chin, Chaijaruwanich, Jeerayut, Huang, Hui-Ling, Ho, Shinn-Ying
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Public Library of Science 2013
Gaiak:
Research Article
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC3760885/
https://ncbi.nlm.nih.gov/pubmed/24019868
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0072368
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