Improving fold resistance prediction of HIV-1 against protease and reverse transcriptase inhibitors using artificial neural networks
作者: Olivier Sheik AmamuddyNigel T. BishopÖzlem Tastan Bishop
作者单位: 1Rhodes University
刊名: BMC Bioinformatics, 2017, Vol.18 (1)
来源数据库: Springer Nature Journal
DOI: 10.1186/s12859-017-1782-x
关键词: Artificial neural networkDrug resistance predictionSubtype-specific trainingHIV-1 subtype BHIV reverse transcriptaseHIV protease
英文摘要: Drug resistance in HIV treatment is still a worldwide problem. Predicting resistance to antiretrovirals (ARVs) before starting any treatment is important. Prediction accuracy is essential, as low-accuracy predictions increase the risk of prescribing sub-optimal drug regimens leading to patients developing resistance sooner. Artificial Neural Networks (ANNs) are a powerful tool that would be able to assist in drug resistance prediction. In this study, we constrained the dataset to subtype B, sacrificing generalizability for a higher predictive performance, and demonstrated that the predictive quality of the ANN regression models have definite improvement for most ARVs.
原始语种摘要: Drug resistance in HIV treatment is still a worldwide problem. Predicting resistance to antiretrovirals (ARVs) before starting any treatment is important. Prediction accuracy is essential, as low-accuracy predictions increase the risk of prescribing sub-optimal drug regimens leading to patients developing resistance sooner. Artificial Neural Networks (ANNs) are a powerful tool that would be able to assist in drug resistance prediction. In this study, we constrained the dataset to subtype B, sacrificing generalizability for a higher predictive performance, and demonstrated that the predictive quality of the ANN regression models have definite improvement for most ARVs.
全文获取路径: Springer Nature  (合作)
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影响因子:3.024 (2012)

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关键词翻译
关键词翻译
  • transcriptase 转录酶
  • HIV Hydraulic Isolation Valve
  • prediction 预报
  • reverse 逆的
  • resistance 抵抗
  • demonstrated 探明的储量
  • powerful 强大的
  • neural 神经系统的
  • protease 朊酶
  • predictive 预言