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A comparison of machine learning algorithms for the prediction of Hepatitis C NS3 protease cleavage sites

Abstract

Hepatitis is a global disease that is on the rise and is currently the cause of more deaths than the human immunodeficiency virus each year. As a result, there is an increasing need for antivirals. Previously, effective antivirals have been found in the form of substrate-mimetic antiviral protease inhibitors. The application of machine learning has been used to predict cleavage patterns of viral proteases to provide information for future drug design. This study has successfully applied and compared several machine learning algorithms to hepatitis C viral NS3 serine protease cleavage data. Results have found that differences in sequence-extraction methods can outweigh differences in algorithm choice. Models produced from pseudo-coded datasets all performed with high accuracy and outperformed models created with orthogonal-coded datasets. However, no single pseudo-model performed significantly better than any other. Evaluation of performance measures also show that the correct choice of model scoring system is essential for unbiased model assessment.

Open access
Indoor air pollution and the contribution of biosensors

homes in Edmonton, Canada. Building and Environment, 2015; 90: p. 114-124. 6. Bako-Biro Z, Wargocki P, Weschler CJ,Fanger PO, Effects of pollution from personal computers on perceived air quality, SBS symptoms and productivity in offices. Indoor Air, 2004; 14(3): p. 178-187. 7. Lee SC, Chan LY,Chiu MY, Indoor and outdoor air quality investigation at 14 public places in Hong Kong. Environment International, 1999; 25(4): p. 443-450. 8. Hong T, Kim J,Lee M, Integrated task performance score for the building occupants based on the CO2 concentration and

Open access
Classification of coronary artery disease data sets by using a deep neural network

tree fuzzy rules. Int J Res Rev Comput Sci 2012; 3(3): 1659-1667. 24. Rao A, Yadu N, Pimpalwar Y, Sinha S. Utility of coronary artery calcium scores in predicting coronary atherosclerosis amongst patients with moderate risk of coronary artery disease, Journal of Indian College of Cardiology 2017; 7: 55-59. 25. Manabe O, Naya M, Tamaki N. Feasibility of PET for the management of coronary artery disease: Comparison between CFR and FFR, Journal of Cardiology 2017; 70(2): 135-140 26. Ngiam J, Coates A, Lahiri A, Prochnow B

Open access
Electrochemical impedimetric detection of stroke biomarker NT-proBNP using disposable screen-printed gold electrodes

. Epub 2013/08/31. Eng. 38. Chen X, Zhan X, Chen M, Lei H, Wang Y, Wei D, et al. The prognostic value of combined NT-pro-BNP levels and NIHSS scores in patients with acute ischemic stroke. Internal medicine (Tokyo, Japan). 2012;51(20):2887-92. PubMed PMID: 23064562. Epub 2012/10/16. Eng. 39. Montaner J, Garcia-Berrocoso T, Mendioroz M, Palacios M, Perea- Gainza M, Delgado P, et al. Brain natriuretic peptide is associated with worsening and mortality in acute stroke patients but adds no prognostic value to clinical predictors of outcome

Open access