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OMG: Open Molecule Generator
DOI:10.1186/1758-2946-4-21.png)
摘要
En 中文
Computer Assisted Structure Elucidation has been used for decades to discover the chemical structure of unknown compounds. In this work we introduce the first open source structure generator, Open Molecule Generator (OMG), which for a given elemental composition produces all non-isomorphic chemical structures that match that elemental composition. Furthermore, this structure generator can accept as additional input one or multiple non-overlapping prescribed substructures to drastically reduce the number of possible chemical structures. Being open source allows for customization and future extension of its functionality. OMG relies on a modified version of the Canonical Augmentation Path, which grows intermediate chemical structures by adding bonds and checks that at each step only unique molecules are produced. In order to benchmark the tool, we generated chemical structures for the elemental formulas and substructures of different metabolites and compared the results with a commercially available structure generator. The results obtained, i.e. the number of molecules generated, were identical for elemental compositions having only C, O and H. For elemental compositions containing C, O, H, N, P and S, OMG produces all the chemically valid molecules while the other generator produces more, yet chemically impossible, molecules. The chemical completeness of the OMG results comes at the expense of being slower than the commercial generator. In addition to being open source, OMG clearly showed the added value of constraining the solution space by using multiple prescribed substructures as input. We expect this structure generator to be useful in many fields, but to be especially of great importance for metabolomics, where identifying unknown metabolites is still a major bottleneck.
Keyword:
Computer assisted structure elucidation
Structure generator
Molecule generator
Open source
Chemical structures
Metabolite identification
Metabolite
Metabolomics
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期刊
IF:
5.7
论文数:
1.5K
被引数:
1.1W
机构
引用论文
Comprehensive Analytical Strategy for Biomarker Identification based on Liquid Chromatography Coupled to Mass Spectrometry and New Candidate Confirmation Tools
ANALYTICAL CHEMISTRY
IF6.7
Virtual exploration of the chemical universe up to 11 atoms of C, N, O, F: Assembly of 26.4 million structures (110.9 million stereoisomers) and analysis for new ring systems, stereochemistry, physicochemical properties, compound classes, and drug discovery虚拟探索多达11个C,N,O,F原子的化学宇宙: 2640万结构 (1.109亿个立体异构体) 的组装以及对新环系,立体化学,理化性质,化合物课程和药物发现的分析
Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry使用气相色谱和液相色谱与质谱联用对血清和血浆进行大规模代谢分析的程序
NATURE PROTOCOLS
IF16

