SLICE (SMARTS and Logic In ChEmistry): fast generation of molecules using advanced chemical synthesis logic and modern coding style

While virtual libraries of synthetically accessible compounds have exploded in size to many billions, our capacity to extract valuable drug leads from these vast databases remains limited by computational resources. To overcome this, we developed SLICE SMARTS and Logic In ChEmistry), a powerful new tool designed for the agile exploration of massive chemical spaces. SLICE enables the fast, "à la carte" generation of virtual compound libraries through chemist-defined reaction chemistries and readily available building blocks. Its user-friendly, no-code graphical interface, the SLICE Designer, allows chemists to easily define SMARTS patterns, configure atom and bond properties, and establish chemical constraints and logic. The resulting XML files are then fed into the SLICE Engine, which generates diverse virtual libraries from specified building blocks at speeds of 0.6-2.5 million compounds per hour. SLICE provides the agility and performance needed to support efficient lead generation within discovery workflows.

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Publication Details

Journal
Journal of Cheminformatics
Published
2025-12-09
DOI
https://doi.org/10.1186/s13321-025-01119-9
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
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article

SLICE (SMARTS and Logic In ChEmistry): fast generation of molecules using advanced chemical synthesis logic and modern coding style

Nadya I. Tarasova, Hitesh Patel, Victorien Delannée, Marc C. Nicklaus et al.
Journal of Cheminformatics
Machine Learning in Materials Science
article

SLICE (SMARTS and Logic In ChEmistry): fast generation of molecules using advanced chemical synthesis logic and modern coding style

Nadya I. Tarasova, Hitesh Patel, Victorien Delannée, Marc C. Nicklaus, Philip N. Judson, Stefi Nouleho Ilemo, Olga Grushin
article en

Abstract

While virtual libraries of synthetically accessible compounds have exploded in size to many billions, our capacity to extract valuable drug leads from these vast databases remains limited by computational resources. To overcome this, we developed SLICE SMARTS and Logic In ChEmistry), a powerful new tool designed for the agile exploration of massive chemical spaces. SLICE enables the fast, "à la carte" generation of virtual compound libraries through chemist-defined reaction chemistries and readily available building blocks. Its user-friendly, no-code graphical interface, the SLICE Designer, allows chemists to easily define SMARTS patterns, configure atom and bond properties, and establish chemical constraints and logic. The resulting XML files are then fed into the SLICE Engine, which generates diverse virtual libraries from specified building blocks at speeds of 0.6-2.5 million compounds per hour. SLICE provides the agility and performance needed to support efficient lead generation within discovery workflows.

Journal of CheminformaticsVol. 18(1)
Frederick National Laboratory for Cancer Research (US), National Cancer Institute (US), Origin Energy (Australia) (AU)
Openalex Percentile: Top 68%
Machine Learning in Materials Science
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SLICE (SMARTS and Logic In ChEmistry): fast generation of molecules using advanced chemical synthesis logic and modern coding style — Nadya I. Tarasova, Hitesh Patel, et al. · Journal of Cheminformatics (2025) | TGRS Research Map | TGRS