Hanson Robert M
Department of Chemistry, St. Olaf College, 1520 St. Olaf Ave., Northfield, MN USA.
J Cheminform. 2016 Sep 26;8:50. doi: 10.1186/s13321-016-0160-4. eCollection 2016.
SMILES and SMARTS are two well-defined structure matching languages that have gained wide use in cheminformatics. Jmol is a widely used open-source molecular visualization and analysis tool written in Java and implemented in both Java and JavaScript. Over the past 10 years, from 2007 to 2016, work on Jmol has included the development of dialects of SMILES and SMARTS that incorporate novel aspects that allow new and powerful applications.
The specifications of "Jmol SMILES" and "Jmol SMARTS" are described. The dialects most closely resemble OpenSMILES and OpenSMARTS. Jmol SMILES is a superset of OpenSMILES, allowing a freer format, including whitespace and comments, the addition of "processing directives" that modify the meaning of certain aspects of SMILES processing such as aromaticity and stereochemistry, a more extensive treatment of stereochemistry, and several minor additions. Jmol SMARTS similarly adds these same modifications to OpenSMARTS, but also adds a number of additional "primitives" and elements of syntax tuned to matching 3D molecular structures and selecting their atoms. The result is an expansion of the capabilities of SMILES and SMARTS primarily for use in 3D molecular analysis, allowing a broader range of matching involving any combination of 3D molecular structures, SMILES strings, and SMARTS patterns. While developed specifically for Jmol, these dialects of SMILES and SMARTS are independent of the Jmol application itself.
Jmol SMILES and Jmol SMARTS add value to standard SMILES and SMARTS. Together they have proven exceptionally capable in extracting valuable information from 3D structural models, as demonstrated in Jmol. Capabilities in Jmol enabled by Jmol SMILES and Jmol SMARTS include efficient MMFF94 atom typing, conformational identification, SMILES comparisons without canonicalization, identification of stereochemical relationships, quantitative comparison of 3D structures from different sources (including differences in Kekulization), conformational flexible fitting, and atom mapping used to synchronize interactive displays of 2D structures, 3D structures, and spectral correlations, where data are being drawn from multiple sources.
SMILES和SMARTS是两种定义明确的结构匹配语言,在化学信息学中得到了广泛应用。Jmol是一个广泛使用的开源分子可视化和分析工具,用Java编写,并在Java和JavaScript中实现。在过去10年中,从2007年到2016年,Jmol的工作包括开发SMILES和SMARTS的方言,这些方言融入了新的方面,允许新的强大应用。
描述了“Jmol SMILES”和“Jmol SMARTS”的规范。这些方言与OpenSMILES和OpenSMARTS最为相似。Jmol SMILES是OpenSMILES的超集,允许更自由的格式,包括空白和注释,添加“处理指令”以修改SMILES处理某些方面的含义,如芳香性和立体化学,对立体化学进行更广泛的处理,以及一些小的添加。Jmol SMARTS同样对OpenSMARTS进行了这些相同的修改,但还添加了许多额外的“原语”和语法元素,以匹配3D分子结构并选择其原子。结果是扩展了SMILES和SMARTS的功能,主要用于3D分子分析,允许更广泛的匹配,涉及3D分子结构、SMILES字符串和SMARTS模式的任何组合。虽然这些SMILES和SMARTS的方言是专门为Jmol开发的,但它们独立于Jmol应用程序本身。
Jmol SMILES和Jmol SMARTS为标准SMILES和SMARTS增加了价值。正如在Jmol中所展示的,它们一起在从3D结构模型中提取有价值信息方面表现出了非凡的能力。Jmol SMILES和Jmol SMARTS在Jmol中实现的功能包括高效的MMFF94原子类型化、构象识别、无需规范化的SMILES比较、立体化学关系的识别、来自不同来源的3D结构的定量比较(包括凯库勒式的差异)、构象灵活拟合以及用于同步2D结构、3D结构和光谱相关性交互式显示的原子映射,其中数据来自多个来源。