Issue 17, 2019

Selection of cost-effective yet chemically diverse pathways from the networks of computer-generated retrosynthetic plans

Abstract

As the programs for computer-aided retrosynthetic design come of age, they are no longer identifying just one or few synthetic routes but a multitude of chemically plausible syntheses, together forming large, directed graphs of solutions. An important problem then emerges: how to select from these graphs and present to the user manageable numbers of top-scoring pathways that are cost-effective, promote convergent vs. linear solutions, and are chemically diverse so that they do not repeat only minor variations in the same chemical theme. This paper describes a family of reaction network algorithms that address this problem by (i) using recursive formulae to assign realistic prices to individual pathways and (ii) applying penalties to chemically similar strategies so that they are not dominating the top-scoring routes. Synthetic examples are provided to illustrate how these algorithms can be implemented – on the timescales of ∼1 s even for large graphs – to rapidly query the space of synthetic solutions under the scenarios of different reaction yields and/or costs associated with performing reaction operations on different scales.

Graphical abstract: Selection of cost-effective yet chemically diverse pathways from the networks of computer-generated retrosynthetic plans

Supplementary files

Article information

Article type
Edge Article
Submitted
16 ডিসে. 2018
Accepted
24 ফেব্রু. 2019
First published
01 মার্চ 2019
This article is Open Access

All publication charges for this article have been paid for by the Royal Society of Chemistry
Creative Commons BY-NC license

Chem. Sci., 2019,10, 4640-4651

Selection of cost-effective yet chemically diverse pathways from the networks of computer-generated retrosynthetic plans

T. Badowski, K. Molga and B. A. Grzybowski, Chem. Sci., 2019, 10, 4640 DOI: 10.1039/C8SC05611K

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