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MoleQCage: Geometric High-Throughput Screening for Molecular Caging Prediction
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems.ORCID iD: 0000-0002-9001-7708
Department of Computer and Information Sciences, University of Strathclyde, Glasgow G1 1XH, United Kingdom.ORCID iD: 0000-0002-3415-9816
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.ORCID iD: 0000-0002-0900-1523
Department of Computer Science, Rice University, Houston, Texas 77005, United States.ORCID iD: 0000-0003-0699-8038
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2024 (English)In: Journal of Chemical Information and Modeling, ISSN 1549-9596, E-ISSN 1549-960X, Vol. 64, no 24, p. 9034-9039Article in journal (Refereed) Published
Abstract [en]

Although being able to determine whether a host molecule can enclose a guest molecule and form a caging complex could benefit numerous chemical and medical applications, the experimental discovery of molecular caging complexes has not yet been achieved at scale. Here, we propose MoleQCage, a simple tool for the high-throughput screening of host and guest candidates based on an efficient robotics-inspired geometric algorithm for molecular caging prediction, providing theoretical guarantees and robustness assessment. MoleQCage is distributed as Linux-based software with a graphical user interface and is available online at https://hub.docker.com/r/dantrigne/moleqcage in the form of a Docker container. Documentation and examples are available as Supporting Information and online at https://hub.docker.com/r/dantrigne/moleqcage.

Place, publisher, year, edition, pages
American Chemical Society (ACS) , 2024. Vol. 64, no 24, p. 9034-9039
National Category
Bioinformatics (Computational Biology)
Identifiers
URN: urn:nbn:se:kth:diva-367341DOI: 10.1021/acs.jcim.4c01419ISI: 001376043000001PubMedID: 39665285Scopus ID: 2-s2.0-85211987438OAI: oai:DiVA.org:kth-367341DiVA, id: diva2:1984559
Note

QC 20250716

Available from: 2025-07-16 Created: 2025-07-16 Last updated: 2025-07-16Bibliographically approved

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Kravberg, AlexanderVarava, AnastasiiaKragic, Danica

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Journal of Chemical Information and Modeling
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