4.4 Article

Ambit-SLN: an Open Source Software Library for Processing of Chemical Objects via SLN Linear Notation

Journal

MOLECULAR INFORMATICS
Volume 40, Issue 11, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/minf.202100027

Keywords

Ambit; cheminformatics; SLN; linear notation; structure representation; substructure searching; structure conversion; Markush structure

Funding

  1. Plovdiv University Scientific Fund Project [MU19-HF-003]

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SLN is a comprehensive linear notation for representing chemical objects and can support challenging tasks in cheminformatics research. Ambit-SLN is an open-source software library developed for processing chemical objects using SLN, including functionalities for substructure matching and conversion to other chemical formats. This tool can also be used for generating combinatorial structure sets.
SLN (SYBYL Line Notation) is the most comprehensive and rich linear notation for representation of chemical objects of various kinds facilitating a wide range of cheminformatics algorithms. Though, it is not the most popular linear notation nowadays, SLN has capabilities for supporting the most challenging tasks of the present day cheminformatics research. We present Ambit-SLN, a new software library for cheminformatics processing of chemical objects via linear notation SLN. Ambit-SLN is developed as a part of the cheminformatics platform AMBIT. It is an open-source tool, distributed under LGPL license, written in Java and based on the Chemistry Development Kit. Ambit-SLN includes a parser for the full SLN syntax of chemical structures and substructure search queries including support for macro and Markush atoms, global and local dictionaries and user defined properties which can be stored and used by the Ambit data model. The Ambit-SLN library includes functionalities for substructure matching based on SLN query strings and utilities for conversion of SLN objects to other chemical formats such as SMILES and SMARTS. The functionality for Markush atom expansion can be used for generation of combinatorial structure sets.

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