Predicting protein crystallization using a simple scoring card method
Many computational methods have been developed to predict protein crystallization. Most methods use amino acid and dipeptide compositions as part of the informative features. To advance the prediction accuracy, the support vector machine (SVM) based classifiers and ensemble approaches were effective...
محفوظ في:
المؤلفون الرئيسيون: | Watshara Shoombuatong, Hui Ling Huang, Jeerayut Chaijaruwanich, Phasit Charoenkwan, Hua Chin Lee, Shinn Ying Ho |
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التنسيق: | وقائع المؤتمر |
منشور في: |
2018
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الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84885053814&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/47580 |
الوسوم: |
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مواد مشابهة
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Predicting protein crystallization using a simple scoring card method
بواسطة: Watshara Shoombuatong, وآخرون
منشور في: (2018) -
SCMCRYS: Predicting Protein Crystallization Using an Ensemble Scoring Card Method with Estimating Propensity Scores of P-Collocated Amino Acid Pairs
بواسطة: Phasit Charoenkwan, وآخرون
منشور في: (2018) -
SCMCRYS: Predicting Protein Crystallization Using an Ensemble Scoring Card Method with Estimating Propensity Scores of P-Collocated Amino Acid Pairs
بواسطة: Phasit Charoenkwan, وآخرون
منشور في: (2018) -
iAMY-SCM: Improved prediction and analysis of amyloid proteins using a scoring card method with propensity scores of dipeptides
بواسطة: Phasit Charoenkwan, وآخرون
منشور في: (2020) -
iUmami-SCM: A Novel Sequence-Based Predictor for Prediction and Analysis of Umami Peptides Using a Scoring Card Method with Propensity Scores of Dipeptides
بواسطة: Phasit Charoenkwan, وآخرون
منشور في: (2020)