Most of the compounds have physiologically active properties, and their biological properties are often attributed to the heteroatoms contained in their molecules, and most of these heteroatoms also appear in cyclic structures. A Journal, Article, Chemical Communications (Cambridge, United Kingdom) called A color-spectral machine learning path for analysis of five mixed amino acids, Author is Duan, Qiannan; Lee, Jianchao; Zheng, Shourong; Chen, Jiayuan; Luo, Run; Feng, Yunjin; Xu, Zhaoyi, which mentions a compound: 76-60-8, SMILESS is CC1=C(Br)C(O)=C(Br)C=C1C2(C3=CC(Br)=C(O)C(Br)=C3C)C4=CC=CC=C4S(O2)(=O)=O, Molecular C21H14Br4O5S, HPLC of Formula: 76-60-8.
A machine learning (ML) strategy based on color-spectral images for mixed amino acid (AA) anal. is presented. The results showed that a well-trained ML model could accurately predict multiple AAs at the same time, suggesting its value for facilitating quant. anal. of mixed AA systems.
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