arrow
Return

SmilesDrawer: Parsing and Drawing SMILES-Encoded Molecular Structures Using Client-Side JavaScript

delete2018-01-11
delete57
PRE
AI
D
Daniel Probst
J
Jean‐Louis Reymond *
DOI:10.1021/acs.jcim.7b00425delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Here we present SmilesDrawer, a dependency free JavaScript component capable of both parsing and drawing SMILES-encoded molecular structures client-side, developed to be easily integrated into web projects and to display organic molecules in large numbers and fast succession. SmilesDrawer can draw structurally and stereochemically complex structures such as maitotoxin and C-60 without using templates, yet has an exceptionally small computational footprint and low memory usage without the requirement for loading images or any other form of client server communication,. making it easy to integrate even in secure (intranet-firewalled) or offline applications. These. features allow the rendering of thousands of molecular structure drawings on a single web-page within seconds on a wide range of hardware supporting modern browsers. The soiree code as well as the most recent build of SmilesDrawer is available on Github (http://doc.gdb.tools/smilesDrawer/). Both yarn and npm packages are also available.
Keywords:
CHEMICAL SPACE
VISUALIZATION
ALGORITHM
GENERATION
DISCOVERY
DRUGBANK
LANGUAGE
LIBRARY
SYSTEM
CHEMBL
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Journal of Chemical Information and Modeling cover
Journal of Chemical Information and Modeling
IF:
5.3
Papers:
9.1K
Citations:
4.0W

Organization

U
University of Bern
Scholars:
3.9W
Papers: 3.1W
Citations: 4.8W