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分子相似性概念与搜索计算。

Molecular similarity concepts and search calculations.

作者信息

Auer Jens, Bajorath Jürgen

机构信息

Department of Life Science Informatics, Bonn-Aachen International Center for Information Technology, Rheinische Friedrich-Wilhelms-University Bonn, Bonn, Germany.

出版信息

Methods Mol Biol. 2008;453:327-47. doi: 10.1007/978-1-60327-429-6_17.

Abstract

The introduction of molecular similarity analysis in the early 1990s has catalyzed the development of many small-molecule-based similarity methods to mine large compound databases for novel active molecules. These efforts have profoundly influenced the field of computer-aided drug discovery and substantially widened the spectrum of available ligand-based virtual screening approaches. However, the principles underlying the computational assessment of molecular similarity are much more multifaceted and complex than it might appear at first glance. Accordingly, intrinsic features of molecular similarity analysis and its relationship to other methods are often not well understood. This chapter discusses critical aspects of molecular similarity, an understanding of which is essential for the evaluation of method development in this field. Then it describes studies designed to enhance the performance of molecular fingerprint searching, which is one of the most intuitive and widely used similarity-based methods.

摘要

20世纪90年代初分子相似性分析的引入,推动了许多基于小分子的相似性方法的发展,以在大型化合物数据库中挖掘新型活性分子。这些努力深刻影响了计算机辅助药物发现领域,并极大地拓宽了可用的基于配体的虚拟筛选方法的范围。然而,分子相似性计算评估背后的原理比乍一看要复杂得多。因此,分子相似性分析的内在特征及其与其他方法的关系常常未被充分理解。本章讨论分子相似性的关键方面,对其的理解对于评估该领域的方法发展至关重要。然后描述了旨在提高分子指纹搜索性能的研究,分子指纹搜索是最直观且应用最广泛的基于相似性的方法之一。

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