{"title":"SpaceExpander: An Automated System for Drafting Markush Claims to Expand Chemical Space.","authors":"Rui Wu, Liyun Mao, Yanyan Diao, Honglin Li","doi":"10.1002/minf.70040","DOIUrl":null,"url":null,"abstract":"<p><p>Drafting chemical compound patents, particularly those involving Markush structures, is a complex task often hindered by manual workflows that are time-consuming and error-prone and may result in incomplete protection. To address these challenges, we introduce SpaceExpander, an open-source tool designed to automate the generation of Markush patent claims with improved accuracy and efficiency. The tool systematically extracts molecular scaffolds, identifies R-groups, and constructs comprehensive Markush structures to expand patent coverage. To enhance accessibility and usability, we provide a publicly available web server for online usage, along with standalone executables compatible with Windows, macOS, and Linux to support offline access.</p>","PeriodicalId":18853,"journal":{"name":"Molecular Informatics","volume":"45 6","pages":"e70040"},"PeriodicalIF":3.1000,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular Informatics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/minf.70040","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, MEDICINAL","Score":null,"Total":0}
引用次数: 0
Abstract
Drafting chemical compound patents, particularly those involving Markush structures, is a complex task often hindered by manual workflows that are time-consuming and error-prone and may result in incomplete protection. To address these challenges, we introduce SpaceExpander, an open-source tool designed to automate the generation of Markush patent claims with improved accuracy and efficiency. The tool systematically extracts molecular scaffolds, identifies R-groups, and constructs comprehensive Markush structures to expand patent coverage. To enhance accessibility and usability, we provide a publicly available web server for online usage, along with standalone executables compatible with Windows, macOS, and Linux to support offline access.
期刊介绍:
Molecular Informatics is a peer-reviewed, international forum for publication of high-quality, interdisciplinary research on all molecular aspects of bio/cheminformatics and computer-assisted molecular design. Molecular Informatics succeeded QSAR & Combinatorial Science in 2010.
Molecular Informatics presents methodological innovations that will lead to a deeper understanding of ligand-receptor interactions, macromolecular complexes, molecular networks, design concepts and processes that demonstrate how ideas and design concepts lead to molecules with a desired structure or function, preferably including experimental validation.
The journal''s scope includes but is not limited to the fields of drug discovery and chemical biology, protein and nucleic acid engineering and design, the design of nanomolecular structures, strategies for modeling of macromolecular assemblies, molecular networks and systems, pharmaco- and chemogenomics, computer-assisted screening strategies, as well as novel technologies for the de novo design of biologically active molecules. As a unique feature Molecular Informatics publishes so-called "Methods Corner" review-type articles which feature important technological concepts and advances within the scope of the journal.