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COMPUTATIONAL METHOD FOR PREDICTING THE CONTRIBUTION OF MUTATIONS TO THE DRUG RESISTANCE PHENOTYPE EXHIBITED BY HIV BASED ON A LINEAR REGRESSION ANALYSIS OF THE LOG FOLD RESISTANCE
COMPUTATIONAL METHOD FOR PREDICTING THE CONTRIBUTION OF MUTATIONS TO THE DRUG RESISTANCE PHENOTYPE EXHIBITED BY HIV BASED ON A LINEAR REGRESSION ANALYSIS OF THE LOG FOLD RESISTANCE
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机译:基于对数折抗性的线性回归分析预测变异对HIV所表现出的药物抗性表型的贡献的计算方法
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摘要
The present invention concerns methods and systems for analysis of drug resistance in HIV-1. More specifically, the invention provides methods for predicting drug resistance by correlating genotypic information with phenotypic profiles. The methods allow the identification of primary and secondary resistance-associated mutations for new and existing drugs and for calculating the contribution of mutations and combinations of mutations to resistance and hyper-susceptibility. The invention allows the design, optimization and assessment of the efficiency of a therapeutic regimen based upon the genotype of the disease affecting a patient
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