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

Title:
SLICE (SMARTS and Logic In ChEmistry): fast generation of molecules using advanced chemical synthesis logic and modern coding style.
Authors:
Ilemo SN; Cancer Innovation Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, P.O. Box B, Frederick, Maryland, 21702, USA., Delannée V; Laboratory of Chemical Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, Maryland, 21702, USA.; Deep Origin, San Diego, CA, USA., Grushin O; Frederick National Laboratory for Cancer Research in the Cancer Innovation Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, Maryland, 21702, USA., Judson P; Heather Lea, Bland Hill, Norwood, Harrogate, HG3 1TE, England., Patel H; Laboratory of Chemical Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, Maryland, 21702, USA.; OpenEye, Cadence Molecular Sciences, Santa Fe, NM, USA., Nicklaus MC; Laboratory of Chemical Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, Maryland, 21702, USA., Tarasova NI; Cancer Innovation Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, P.O. Box B, Frederick, Maryland, 21702, USA. nadya.tarasova@nih.gov.
Source:
Journal of cheminformatics [J Cheminform] 2025 Dec 09; Vol. 18 (1), pp. 7. Date of Electronic Publication: 2025 Dec 09.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: BioMed Central Country of Publication: England NLM ID: 101516718 Publication Model: Electronic Cited Medium: Print ISSN: 1758-2946 (Print) Linking ISSN: 17582946 NLM ISO Abbreviation: J Cheminform Subsets: PubMed not MEDLINE
Imprint Name(s):
Publication: [London, United Kingdom] : BioMed Central
Original Publication: [London] : Chemistry Central Ltd. in association with BioMed Central, 2009-
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Grant Information:
Contract No. 75N91024F00011 Federal funds from the National Cancer Institute, National Institutes of Health
Contributed Indexing:
Keywords: Chemical spaces; Structure-based drug discovery; Virtual libraries; Virtual ligand screening
Entry Date(s):
Date Created: 20251209 Date Completed: 20260114 Latest Revision: 20260116
Update Code:
20260116
PubMed Central ID:
PMC12802268
DOI:
10.1186/s13321-025-01119-9
PMID:
41366467
Database:
MEDLINE

Weitere Informationen

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.
(© 2025. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)

Declarations. Ethics approval and consent to participate: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Competing interests: The authors declare no competing interests. Availability and requirements: Project name: SLICE Engine. Project home page: https://github.com/tarasovan/SLICE-public/tree/main/slice-engine . Operating system: Platform-independent. Programming language: Java. Other requirements: No other requirements are needed beyond a Java Runtime Environment (JRE 8 or higher). Dependencies: Apache Commons (CLI/IO/Math/Lang), Guava, BEAM, JNI-InChI, JAMA, Vecmath, ANTLR 4, univocity-parsers, jopt-simple, Gson. License: MIT license. Any restriction to use by non-academics: none.