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Applications of artificial intelligence for chemical inference. 8. An approach to the computer interpretation of the high resolution mass spectra of complex molecules. Structure elucidation of estrogenic steroids.

作者信息

Smith D H, Buchanan B G, Engelmore R S, Duffield A M, Yeo A, Feigenbaum E A, Lederberg J, Djerassi C

出版信息

J Am Chem Soc. 1972 Aug 23;94(17):5962-71. doi: 10.1021/ja00772a005.

DOI:10.1021/ja00772a005
PMID:5054401
Abstract
摘要

相似文献

1
Applications of artificial intelligence for chemical inference. 8. An approach to the computer interpretation of the high resolution mass spectra of complex molecules. Structure elucidation of estrogenic steroids.人工智能在化学推理中的应用。8. 一种计算机解读复杂分子高分辨率质谱的方法。雌激素类甾体的结构解析。
J Am Chem Soc. 1972 Aug 23;94(17):5962-71. doi: 10.1021/ja00772a005.
2
Applications of artificial intelligence: relationships between mass spectra and pharmacological activity of drugs.
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The relationship between the mass spectra of drugs and their biological activity--an application of artificial intelligence to chemistry.药物质谱与其生物活性之间的关系——人工智能在化学中的应用
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Algorithms for automatic interpretation of high resolution mass spectra.高分辨率质谱自动解释算法。
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Applications of computerized pattern recognition: a survey of correlations between pharmacological activities and mass spectra.计算机模式识别的应用：药理活性与质谱之间的相关性综述。
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Applications of artificial intelligence for chemical inference. IX. Analysis of mixtures without prior separation as illustrated for estrogens.人工智能在化学推理中的应用。IX. 雌激素为例说明无需预先分离的混合物分析
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Applications of artificial intelligence to chemistry. Use of pattern recognition and cluster analysis to determine the pharmacological activity of some organic compounds.人工智能在化学中的应用。利用模式识别和聚类分析确定某些有机化合物的药理活性。
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Artificial intelligence, pattern recognition, and neurobiology.
Int J Neurosci. 1972 Mar;3(3):147-54. doi: 10.3109/00207457209147634.
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Computer simulation: artificial intelligence studies and their relevance to psychology.计算机模拟：人工智能研究及其与心理学的相关性。
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Computer-aided analysis of organic mass spectra.有机质谱的计算机辅助分析
Angew Chem Int Ed Engl. 1972 May;11(5):357-66. doi: 10.1002/anie.197203571.

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