Literature DB >> 30095903

AARON: An Automated Reaction Optimizer for New Catalysts.

Yanfei Guan1, Victoria M Ingman2, Benjamin J Rooks1, Steven E Wheeler1,2.   

Abstract

We describe an open-source computational toolkit (AARON: An Automated Reaction Optimizer for New catalysts) that automates the quantum mechanical geometry optimization and characterization of the transition state and intermediate structures required to predict the activities and selectivities of asymmetric catalytic reactions. Modern computational quantum chemistry has emerged as a powerful tool for explaining the selectivity and activity of asymmetric catalysts. However, reliably predicting the stereochemical outcome of realistic reactions often requires the geometry optimization of hundreds of transition state and intermediate structures, which is a tedious process. AARON automates these optimizations through an interface with a popular electronic structure package, accelerating quantum chemical workflows to enable the computational screening of potential catalysts. AARON is built using a collection of object-oriented Perl modules (AaronTools) that provide functionality to build and modify molecular and supramolecular structures. The main functionalities of AaronTools are also available as stand-alone command-line scripts. The core features of AaronTools and AARON are explained, and representative applications of AARON to both organocatalyzed and transition-metal-catalyzed reactions are presented.

Entities:  

Year:  2018        PMID: 30095903     DOI: 10.1021/acs.jctc.8b00578

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  9 in total

1.  Mechanisms, Challenges, and Opportunities of Dual Ni/Photoredox-Catalyzed C(sp2)-C(sp3) Cross-Couplings.

Authors:  Mingbin Yuan; Osvaldo Gutierrez
Journal:  Wiley Interdiscip Rev Comput Mol Sci       Date:  2021-09-21

2.  Machine learning and semi-empirical calculations: a synergistic approach to rapid, accurate, and mechanism-based reaction barrier prediction.

Authors:  Elliot H E Farrar; Matthew N Grayson
Journal:  Chem Sci       Date:  2022-06-14       Impact factor: 9.969

3.  The (not so) simple prediction of enantioselectivity - a pipeline for high-fidelity computations.

Authors:  Rubén Laplaza; Jan-Grimo Sobez; Matthew D Wodrich; Markus Reiher; Clémence Corminboeuf
Journal:  Chem Sci       Date:  2022-05-18       Impact factor: 9.969

4.  Transition State Force Field for the Asymmetric Redox-Relay Heck Reaction.

Authors:  Anthony R Rosales; Sean P Ross; Paul Helquist; Per-Ola Norrby; Matthew S Sigman; Olaf Wiest
Journal:  J Am Chem Soc       Date:  2020-05-14       Impact factor: 15.419

Review 5.  Quantitative Structure-Selectivity Relationships in Enantioselective Catalysis: Past, Present, and Future.

Authors:  Andrew F Zahrt; Soumitra V Athavale; Scott E Denmark
Journal:  Chem Rev       Date:  2019-12-30       Impact factor: 60.622

Review 6.  Reactions of Allylmagnesium Reagents with Carbonyl Compounds and Compounds with C═N Double Bonds: Their Diastereoselectivities Generally Cannot Be Analyzed Using the Felkin-Anh and Chelation-Control Models.

Authors:  Nicole D Bartolo; Jacquelyne A Read; Elizabeth M Valentín; K A Woerpel
Journal:  Chem Rev       Date:  2020-01-06       Impact factor: 60.622

7.  Relative Strength of Common Directing Groups in Palladium-Catalyzed Aromatic C-H Activation.

Authors:  Anna Tomberg; Michael Éric Muratore; Magnus Jan Johansson; Ina Terstiege; Christian Sköld; Per-Ola Norrby
Journal:  iScience       Date:  2019-09-27

8.  Autonomous Reaction Network Exploration in Homogeneous and Heterogeneous Catalysis.

Authors:  Miguel Steiner; Markus Reiher
Journal:  Top Catal       Date:  2022-01-13       Impact factor: 2.910

9.  An induced-fit model for asymmetric organocatalytic reactions: a case study of the activation of olefins via chiral Brønsted acid catalysts.

Authors:  Ingolf Harden; Frank Neese; Giovanni Bistoni
Journal:  Chem Sci       Date:  2022-07-04       Impact factor: 9.969

  9 in total

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