CONCLUSION The QSAR model can predict the MIC of carbapenems and select the biologic-activity compounds, which offer a new way of thinking and references of carbapenems compounds design.
结论所建立的QSAR模型能有效地进行碳青霉化合物的MIC值的预测和化合物筛选,为新药开发提供新的参考和思路。
CONCLUSION The QSAR model can predict the MIC of carbapenems and select the biologic-activity compounds, which offer a new way of thinking and references of carbapenems compounds design.
结论所建立的QSAR模型能有效地进行碳青霉化合物的MIC值的预测和化合物筛选,为新药开发提供新的参考和思路。
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