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
QSAR模型能有效地进行碳青霉烯类
MIC值预测和筛选，为这类
药开发提供
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QSAR模型能有效地进行碳青霉烯类MIC值预测和筛选，为这类药开发提供考和思路。
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