BigSMILES: A Structurally-Based Line Notation for Describing Macromolecules by Lin, Tzyy-Shyang, Coley, Connor Wilson, Mochigase, Hidenobu, Beech, Haley K., Wang, Wencong, Wang, Zi, Woods, Eliot, Craig, Stephen L., Johnson, Jeremiah A., Kalow, Julia A., Jensen, Klavs F, Olsen, Bradley D

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Zombie cheminformatics: extraction and conversion of Wiswesser Line Notation (WLN) from chemical documents by Michael Blakey, Samantha Pearman-Kanza, Jeremy G. Frey

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TUCAN: A molecular identifier and descriptor applicable to the whole periodic table from hydrogen to oganesson by Jan C. Brammer, Gerd Blanke, Claudia Kellner, Alexander Hoffmann, Sonja Herres-Pawlis, Ulrich Schatzschneider

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Methods of Writing Constitutional Formulas by Raos, N., Miličević, A.

“…Special attention is paid to line notation, developed for computers (WLN, SMILES, InChI etc.). …”
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RetroTransformDB: A Dataset of Generic Transforms for Retrosynthetic Analysis by Svetlana Avramova, Nikolay Kochev, Plamen Angelov

“…Here we present RetroTransformDB—a dataset of transforms, compiled and coded in SMIRKS line notation by us. The collection is comprised of more than 100 records, with each one including the reaction name, SMIRKS linear notation, the functional group to be obtained, and the transform type classification. …”
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pyPept: a python library to generate atomistic 2D and 3D representations of peptides by Rodrigo Ochoa, J. B. Brown, Thomas Fox

“…The framework enables the analysis of both pure proteinogenic peptides as well as those with non-natural amino acids, including support to assemble a customizable monomer library, without requiring programming. From line notations, a peptide is transformed into a molecular graph for 2D depiction tasks, the calculation of physicochemical properties, and other systematic analyses or processing pipelines. …”
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Automated BigSMILES conversion workflow and dataset for homopolymeric macromolecules by Sunho Choi, Joonbum Lee, Jangwon Seo, Sung Won Han, Sang Hyun Lee, Ji-Hun Seo, Junhee Seok

“…Abstract The simplified molecular-input line-entry system (SMILES) has been utilized in a variety of artificial intelligence analyses owing to its capability of representing chemical structures using line notation. However, its ease of representation is limited, which has led to the proposal of BigSMILES as an alternative method suitable for the representation of macromolecules. …”
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IUPAC International Chemical Identifier (InChI)-related education and training materials through InChI Open Education Resource (OER) by Cornell Andrew P., Kim Sunghwan, Cuadros Jordi, Bucholtz Ehren C., Pence Harry E., Potenzone Rudy, Belford Robert E.

“…The IUPAC International Chemical Identifier (InChI) is a structure-based chemical identifier that encodes various aspects of a chemical structure into a hierarchically layered line notation. Because InChI is non-proprietary, open-source, and freely available to everyone, it is adopted in popular chemical information resources and software programs. …”
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Evaluating molecular representations in machine learning models for drug response prediction and interpretability by Baptista Delora, Correia João, Pereira Bruno, Rocha Miguel

“…However, in recent years, end-to-end deep learning (DL) methods that can learn feature representations directly from line notations or molecular graphs have been proposed as alternatives to using precomputed features. …”
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