10
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      RetroBioCat as a computer-aided synthesis planning tool for biocatalytic reactions and cascades

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          As the enzyme toolbox for biocatalysis has expanded, so has the potential for the construction of powerful enzymatic cascades for efficient and selective synthesis of target molecules. Additionally, recent advances in computer-aided synthesis planning are revolutionising synthesis design in both synthetic biology and organic chemistry. However, the potential for biocatalysis is not well captured by tools currently available in either field. Here we present RetroBioCat, an intuitive and accessible tool for computer-aided design of biocatalytic cascades, freely available at retrobiocat.com. Our approach uses a set of expertly encoded reaction rules encompassing the enzyme toolbox for biocatalysis, and a system for identifying literature precedent for enzymes with the correct substrate specificity where this is available. Applying these rules for automated biocatalytic retrosynthesis, we show our tool to be capable of identifying promising biocatalytic pathways to target molecules, validated using a test-set of recent cascades described in the literature.

          Related collections

          Most cited references87

          • Record: found
          • Abstract: found
          • Article: not found

          Planning chemical syntheses with deep neural networks and symbolic AI

          To plan the syntheses of small organic molecules, chemists use retrosynthesis, a problem-solving technique in which target molecules are recursively transformed into increasingly simpler precursors. Computer-aided retrosynthesis would be a valuable tool but at present it is slow and provides results of unsatisfactory quality. Here we use Monte Carlo tree search and symbolic artificial intelligence (AI) to discover retrosynthetic routes. We combined Monte Carlo tree search with an expansion policy network that guides the search, and a filter network to pre-select the most promising retrosynthetic steps. These deep neural networks were trained on essentially all reactions ever published in organic chemistry. Our system solves for almost twice as many molecules, thirty times faster than the traditional computer-aided search method, which is based on extracted rules and hand-designed heuristics. In a double-blind AB test, chemists on average considered our computer-generated routes to be equivalent to reported literature routes.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Engineering the third wave of biocatalysis.

            Over the past ten years, scientific and technological advances have established biocatalysis as a practical and environmentally friendly alternative to traditional metallo- and organocatalysis in chemical synthesis, both in the laboratory and on an industrial scale. Key advances in DNA sequencing and gene synthesis are at the base of tremendous progress in tailoring biocatalysts by protein engineering and design, and the ability to reorganize enzymes into new biosynthetic pathways. To highlight these achievements, here we discuss applications of protein-engineered biocatalysts ranging from commodity chemicals to advanced pharmaceutical intermediates that use enzyme catalysis as a key step.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Directed Evolution: Bringing New Chemistry to Life

              Tailor‐made: Discussed herein is the ability to adapt biology's mechanisms for innovation and optimization to solving problems in chemistry and engineering. The evolution of nature's enzymes can lead to the discovery of new reactivity, transformations not known in biology, and reactivity inaccessible by small‐molecule catalysts.
                Bookmark

                Author and article information

                Journal
                101714581
                Nat Catal
                Nat Catal
                Nature catalysis
                2520-1158
                27 January 2021
                February 2021
                04 January 2021
                04 July 2021
                : 4
                : 2
                : 98-104
                Affiliations
                [1 ]Department of Chemistry, University of Manchester, Manchester Institute of Biotechnology, 131 Princess Street, M1 7DN, Manchester, UK
                Author notes
                [* ] Corresponding Authors Nicholas J. Turner: Nicholas.turner@ 123456manchester.ac.uk , Sabine L. Flitsch: sabine.flitsch@ 123456manchester.ac.uk
                Article
                EMS114935
                10.1038/s41929-020-00556-z
                7116764
                33604511
                9afa35fb-cace-417f-a960-cea58f94300f

                Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms

                History
                Categories
                Article

                Comments

                Comment on this article