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PharmaGist: a webserver for ligand-based pharmacophore detection.

机译:PharmaGist:用于基于配体的药效团检测的Web服务器。

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摘要

Predicting molecular interactions is a major goal in rational drug design. Pharmacophore, which is the spatial arrangement of features that is essential for a molecule to interact with a specific target receptor, is an important model for achieving this goal. We present a freely available web server, named PharmaGist, for pharmacophore detection. The employed method is ligand based. Namely, it does not require the structure of the target receptor. Instead, the input is a set of structures of drug-like molecules that are known to bind to the receptor. The output consists of candidate pharmacophores that are computed by multiple flexible alignment of the input ligands. The method handles the flexibility of the input ligands explicitly and in deterministic manner within the alignment process. PharmaGist is also highly efficient, where a typical run with up to 32 drug-like molecules takes seconds to a few minutes on a stardard PC. Another important characteristic is the capability of detecting pharmacophores shared by different subsets of input molecules. This capability is a key advantage when the ligands belong to different binding modes or when the input contains outliers. The webserver has a user-friendly interface available at http://bioinfo3d.cs.tau.ac.il/PharmaGist.
机译:预测分子相互作用是合理药物设计的主要目标。药理基团是分子与特定靶标受体相互作用所必需的特征的空间排列,它是实现此目标的重要模型。我们提供了一个免费的Web服务器,名为PharmaGist,用于药效团检测。所采用的方法是基于配体的。即,它不需要靶受体的结构。相反,输入是一组已知与受体结合的类药物分子的结构。输出由候选药效基团组成,这些候选药效基团通过输入配体的多重灵活比对来计算。该方法在比对过程中明确地和确定性地处理输入配体的灵活性。 PharmaGist的效率也很高,在标准PC上典型地运行多达32种类药物分子需要几秒钟到几分钟。另一个重要的特征是检测输入分子的不同子集共有的药效团的能力。当配体属于不同的结合模式或输入包含异常值时,此功能是关键优势。该网络服务器具有一个用户友好的界面,该界面可从http://bioinfo3d.cs.tau.ac.il/PharmaGist获得。

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