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Citation: Lu Yongzhong, Kang Daole. Optimization on Design of Andes Virus Inhibitory Peptides[J]. Chemistry, ;2016, 79(5): 466-469. shu

Optimization on Design of Andes Virus Inhibitory Peptides

Lu Yongzhong ,
Kang Daole

1.
College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao 266042

Received Date: 27 April 2015
Available Online: 9 December 2015

Andes virus (ANDV) belongs to the genus Hantavirus and can cause hantavirus cardiopulmonary syndrome, which is a serious threat to human health and life, but no specific therapy is available now. The ANDV inhibitory peptides are of potential value for the therapy. In this work, quantitative structure-activity relationships (QSAR) research on a group of ANDV inhibitory peptides was conducted with the whole molecular descriptors of peptides, and the QSAR models established were applied to optimize the inhibitory peptides. The results showed that the genetic algorithm-partial least squares(GA-PLS) models exhibited good performance in stability and predictability (R²>0.80,Q_ext>²0.58); and peptides with higher activity than the original ones were designed based on the models, which laid foundation for further synthesis and experimental test.
- Andes virus,
- Inhibitory peptide,
- Quantitative structure-activity relationships,
- Genetic algorithm,
- Partial least squares
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