Qsar model for predicting neuraminidase inhibitors of influenza a viruses (H1N1) based on adaptive grasshopper optimization algorithm
High-dimensionality is one of the major problems which affect the quality of the quantitative structure–activity relationship (QSAR) modelling. Obtaining a reliable QSAR model with few descriptors is an essential procedure in chemometrics. The binary grasshopper optimization algorithm (BGOA) is a ne...
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| Format: | Article |
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Taylor and Francis Ltd.
2020
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