Literature DB >> 29019686

Virtual Exploration of the Ring Systems Chemical Universe.

Ricardo Visini1, Josep Arús-Pous1, Mahendra Awale1, Jean-Louis Reymond1.   

Abstract

Here, we explore the chemical space of all virtually possible organic molecules focusing on ring systems, which represent the cyclic cores of organic molecules obtained by removing all acyclic bonds and converting all remaining atoms to carbon. This approach circumvents the combinatorial explosion encountered when enumerating the molecules themselves. We report the chemical universe database GDB4c containing 916 130 ring systems up to four saturated or aromatic rings and maximum ring size of 14 atoms and GDB4c3D containing the corresponding 6 555 929 stereoisomers. Almost all (98.6%) of these ring systems are unknown and represent chiral 3D-shaped macrocycles containing small rings and quaternary centers reminiscent of polycyclic natural products. We envision that GDB4c can serve to select new ring systems from which to design analogs of such natural products. The database is available for download at www.gdb.unibe.ch together with interactive visualization and search tools as a resource for molecular design.

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Year:  2017        PMID: 29019686     DOI: 10.1021/acs.jcim.7b00457

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  5 in total

Review 1.  Expanding the medicinal chemistry synthetic toolbox.

Authors:  Jonas Boström; Dean G Brown; Robert J Young; György M Keserü
Journal:  Nat Rev Drug Discov       Date:  2018-08-24       Impact factor: 84.694

Review 2.  Rings in Clinical Trials and Drugs: Present and Future.

Authors:  Jonathan Shearer; Jose L Castro; Alastair D G Lawson; Malcolm MacCoss; Richard D Taylor
Journal:  J Med Chem       Date:  2022-06-22       Impact factor: 8.039

3.  Randomized SMILES strings improve the quality of molecular generative models.

Authors:  Josep Arús-Pous; Simon Viet Johansson; Oleksii Prykhodko; Esben Jannik Bjerrum; Christian Tyrchan; Jean-Louis Reymond; Hongming Chen; Ola Engkvist
Journal:  J Cheminform       Date:  2019-11-21       Impact factor: 5.514

4.  Learning Extremal Representations with Deep Archetypal Analysis.

Authors:  Sebastian Mathias Keller; Maxim Samarin; Fabricio Arend Torres; Mario Wieser; Volker Roth
Journal:  Int J Comput Vis       Date:  2020-12-23       Impact factor: 7.410

Review 5.  Computational Methodologies in the Exploration of Marine Natural Product Leads.

Authors:  Florbela Pereira; Joao Aires-de-Sousa
Journal:  Mar Drugs       Date:  2018-07-13       Impact factor: 5.118

  5 in total

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