Literature DB >> 24050141

Data-driven computer aided synthesis design.

Orr Ravitz.   

Abstract

Enabled by an increasing body of electronically available experimental data and by advances in computer hardware and software, new technologies are emerging that are designed to support the creativity of chemists during synthesis planning. Leading this development are innovative synthetic route prediction tools that are designed to suggest new reactions and paths to target molecules as an idea-generating engine. Other tools are using known reactions in a combinatorial fashion to suggest new routes that are cost-optimized or satisfy some other global criteria. We review the latest developments and the main tools in this domain.

Mesh:

Year:  2013        PMID: 24050141     DOI: 10.1016/j.ddtec.2013.01.005

Source DB:  PubMed          Journal:  Drug Discov Today Technol        ISSN: 1740-6749


  5 in total

Review 1.  Exoplanet Biosignatures: Future Directions.

Authors:  Sara I Walker; William Bains; Leroy Cronin; Shiladitya DasSarma; Sebastian Danielache; Shawn Domagal-Goldman; Betul Kacar; Nancy Y Kiang; Adrian Lenardic; Christopher T Reinhard; William Moore; Edward W Schwieterman; Evgenya L Shkolnik; Harrison B Smith
Journal:  Astrobiology       Date:  2018-06       Impact factor: 4.335

Review 2.  Automating drug discovery.

Authors:  Gisbert Schneider
Journal:  Nat Rev Drug Discov       Date:  2017-12-15       Impact factor: 84.694

3.  Computational planning of the synthesis of complex natural products.

Authors:  Barbara Mikulak-Klucznik; Patrycja Gołębiowska; Alison A Bayly; Oskar Popik; Tomasz Klucznik; Sara Szymkuć; Ewa P Gajewska; Piotr Dittwald; Olga Staszewska-Krajewska; Wiktor Beker; Tomasz Badowski; Karl A Scheidt; Karol Molga; Jacek Mlynarski; Milan Mrksich; Bartosz A Grzybowski
Journal:  Nature       Date:  2020-10-13       Impact factor: 49.962

4.  Datasets and their influence on the development of computer assisted synthesis planning tools in the pharmaceutical domain.

Authors:  Amol Thakkar; Thierry Kogej; Jean-Louis Reymond; Ola Engkvist; Esben Jannik Bjerrum
Journal:  Chem Sci       Date:  2019-11-05       Impact factor: 9.825

5.  Computational design of syntheses leading to compound libraries or isotopically labelled targets.

Authors:  Karol Molga; Piotr Dittwald; Bartosz A Grzybowski
Journal:  Chem Sci       Date:  2019-08-16       Impact factor: 9.825

  5 in total

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