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.
本文公开了在分子的光谱特性与分子的
生物、
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、红外和紫外可见光技术的数据,这些数据与终点数据一起用于训练模式识别程序。训练产生的光谱数据与活性之间的关系,可用于仅从光谱数据预测分子的终点值。此外,还包括根据光谱数据快速筛选分离化合物或化合物混合物的方法。