ReviewTopics in current chemistry (Cham)2026
Synergistic Catalysis: Integrating Acids, Metals, and Light in Nature-Inspired Asymmetric Multicomponent Synthesis.
Review in Topics in current chemistry (Cham), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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12 authors.
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Abstract
In the past decade, asymmetric catalysis has undergone significant advances, driven by the development of chiral phosphoric acids, transition metal complexes, and photoredox catalytic systems. Among these, asymmetric multicomponent reactions (AMCRs) have emerged as powerful tools for the rapid and selective construction of structurally complex molecules. This research highlights recent progress (2019-2025) in AMCRs from the perspectives of these three key catalytic platforms, emphasizing their distinct and cooperative roles in enabling enantioselective bond formation. Particular emphasis is placed on AMCRs catalyzed by chiral phosphoric acids, photoredox systems, and Lewis acids and bases, alongside representative transition metal-catalyzed AMCRs. These are discussed as discrete yet interconnected catalytic manifolds, providing a balanced and comprehensive overview of the field. Mechanistic features, including catalyst interplay, activation modes, and stereocontrol elements, are critically analyzed to establish a unified understanding of reactivity and selectivity. By focusing on these well-defined catalytic domains, this manuscript delineates the fundamental principles that underpin modern AMCR design and highlights emerging strategies that integrate light-driven processes with chiral induction. Collectively, these advances underscore the evolution of asymmetric catalysis into a cohesive and versatile platform for the efficient synthesis of functionally and structurally sophisticated molecules.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.