NOCTIS: open-source toolkit that turns reaction data into actionable graph networks

Built on LinChemIn (J Chem Inf Model 64(6):1765-1771, 2024), NOCTIS serves as an open and extensible toolkit for network-based reaction analysis and route mining, laying the groundwork for data-driven route design at scale. Future work will extend query capabilities and improve the efficiency of route extraction.

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Publication Details

Journal
Journal of Cheminformatics
Published
2025-12-04
DOI
https://doi.org/10.1186/s13321-025-01118-w
Primary Topic
Advanced Graph Neural Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

NOCTIS: open-source toolkit that turns reaction data into actionable graph networks

Marta Pasquini, Nataliya Lopanitsyna, Marco Stenta
Journal of Cheminformatics
Advanced Graph Neural Networks
article

NOCTIS: open-source toolkit that turns reaction data into actionable graph networks

Marta Pasquini, Nataliya Lopanitsyna, Marco Stenta
article en

Abstract

Built on LinChemIn (J Chem Inf Model 64(6):1765-1771, 2024), NOCTIS serves as an open and extensible toolkit for network-based reaction analysis and route mining, laying the groundwork for data-driven route design at scale. Future work will extend query capabilities and improve the efficiency of route extraction.

Journal of CheminformaticsVol. 18(1)
Syngenta (Switzerland) (CH)
Openalex Percentile: Top 79%
Advanced Graph Neural Networks
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NOCTIS: open-source toolkit that turns reaction data into actionable graph networks — Marta Pasquini, Nataliya Lopanitsyna, et al. · Journal of Cheminformatics (2025) | TGRS Research Map | TGRS