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Methods for predicting the biological, chemical, and physical properties of molecules from their spectral properties

机译:从分子的光谱特性预测分子的生物学,化学和物理特性的方法

摘要

Methods are disclosed for establishing a quantitative relationship between spectral properties of molecules and a biological, chemical, or physical endpoint of the molecules. Spectral data including data from nuclear magnetic resonance, mass spectrometric, infrared, and ultraviolet-visible techniques are used along with endpoint data to train a pattern-recognition program. The training yields a spectral data-activity relationship that may be used to predict the endpoint value of a molecule from its spectral data alone. Methods for rapidly screening isolated compounds or mixtures of compounds based upon their spectral data are included.
机译:公开了用于在分子的光谱特性与分子的生物学,化学或物理终点之间建立定量关系的方法。光谱数据包括来自核磁共振,质谱,红外和紫外可见技术的数据与终点数据一起用于训练模式识别程序。训练产生光谱数据-活性关系,该关系可用于仅根据其光谱数据来预测分子的终点值。包括基于其光谱数据快速筛选分离的化合物或化合物混合物的方法。

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