• JotACS-144-11713-11728

Automated Rational Design of Metal-Organic Polyhedra

Reference: Journal of the American Chemical Society 144(26), 11713-11728, (2022)

  • Conceptualisation of metal-organic polyhedra (MOPs) by assembly models.
  • Curation of MOPs and building unit data for knowledge graph development.
  • Ontological representation of MOPs and their related concepts.
  • Knowledge-based rational derivation of new MOP designs by a software agent.
  • Mapping of the immediate MOP chemical space for future studies.

Graphical abstract Metal–organic polyhedra (MOPs) are hybrid organic–inorganic nanomolecules, whose rational design depends on harmonious consideration of chemical complementarity and spatial compatibility between two or more types of chemical building units (CBUs). In this work, we apply knowledge engineering technology to automate the derivation of MOP formulations based on existing knowledge. For this purpose we have (i) curated relevant MOP and CBU data; (ii) developed an assembly model concept that embeds rules in the MOP construction; (iii) developed an OntoMOPs ontology that defines MOPs and their key properties; (iv) input agents that populate The World Avatar (TWA) knowledge graph; and (v) input agents that, using information from TWA, derive a list of new constructible MOPs. Our result provides rapid and automated instantiation of MOPs in TWA and unveils the immediate chemical space of known MOPs, thus shedding light on new MOP targets for future investigations.

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Telephone: +44 (0)1223 762784 (Dept) 769010 (CHU)
Address: Department of Chemical Engineering and Biotechnology
University of Cambridge
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