Ligands are essential for controlling the reactivity and selectivity of reactions catalysed by transition metals. Access to large phosphine ligand libraries has become an essential tool for the application of metal-catalysed reactions industrially, but these existing libraries are not well suited to new catalytic methods based on non-precious metals (for example, Ni, Cu and Fe). The development of the requisite nitrogen- and oxygen-based ligand libraries lags far behind that of the phosphines and the development of new libraries is anticipated to be time consuming. Here we show that this process can be dramatically accelerated by mining for new ligands in a typical pharmaceutical compound library that is rich in heterocycles. Using this approach, we were able to screen a structurally diverse set of compounds with minimal synthetic effort and identify several new ligand classes for nickel-catalysed cross-electrophile coupling. These new ligands gave improved yields for challenging cross-couplings of pharmaceutically relevant substrates compared with those of those of previously published ligands.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5123601PMC
http://dx.doi.org/10.1038/nchem.2587DOI Listing

Publication Analysis

Top Keywords

ligand libraries
8
ligands
5
libraries
5
ligands nickel
4
nickel catalysis
4
catalysis diverse
4
diverse pharmaceutical
4
pharmaceutical heterocycle
4
heterocycle libraries
4
libraries ligands
4

Similar Publications

Peptide-Bismuth Tricycles: Maximizing Stability by Constraint.

Chemistry

January 2025

Australian National University, Research School of Chemistry, Sullivans Creek Road, ACT 2601, Canberra, AUSTRALIA.

Constrained peptides possess excellent properties for identifying lead compounds in drug discovery. While it has become increasingly straightforward to discover selective high-affinity peptide ligands, especially through genetically encoded libraries, their stability and bioavailability remain significant challenges. By integrating macrocyclization chemistry with bismuth binding, we generated series of linear, cyclic, bicyclic, and tricyclic peptides with identical sequences.

View Article and Find Full Text PDF

Interpretable Deep-Learning p Prediction for Small Molecule Drugs via Atomic Sensitivity Analysis.

J Chem Inf Model

January 2025

Department of Chemical and Physical Biology, Vanderbilt University, Nashville, Tennessee 37232, United States.

Machine learning (ML) models now play a crucial role in predicting properties essential to drug development, such as a drug's logscale acid-dissociation constant (p). Despite recent architectural advances, these models often generalize poorly to novel compounds due to a scarcity of ground-truth data. Further, these models lack interpretability.

View Article and Find Full Text PDF

I-motif formation in the promoter region of the B-MYB proto-oncogene.

Int J Biol Macromol

January 2025

CICS-UBI - Health Sciences Research Centre, University of Beira Interior, Covilhã, Portugal; RISE-Health, Departamento de Química, Faculdade de Ciências, Universidade da Beira Interior, Rua Marquês d'Ávila e Bolama, 6201-001 Covilhã, Portugal; Departamento de Química, Universidade da Beira Interior, Rua Marquês de Ávila e Bolama, 6201-001 Covilhã, Portugal. Electronic address:

Understanding the mechanisms of carcinogenesis is essential to combat cancer. The search for alternative targets for anticancer therapy has gained interest, particularly when focused on upstream pathways. This strategy is particularly relevant when the encoded target proteins are known - or believed - to be "undruggable", as has been reported for the B-MYB oncogene.

View Article and Find Full Text PDF

Monoamine oxidase B (MAO-B) is a key enzyme in the mitochondrial outer membrane, pivotal for the oxidative deamination of biogenic amines. Its overexpression has been implicated in the pathogenesis of several cancers, including glioblastoma and colorectal, lung, renal, and bladder cancers, primarily through the increased production of reactive oxygen species (ROS). Inhibition of MAO-B impedes cell proliferation, making it a potential therapeutic target.

View Article and Find Full Text PDF

Structure- and Ligand-Based Virtual Screening for Identification of Novel TRPV4 Antagonists.

Molecules

December 2024

Structural Bioinformatics Laboratory, Faculty of Science and Engineering, Åbo Akademi University, Tykistökatu 6, 20520 Turku, Finland.

Transient receptor potential vanilloid (TRPV) 4 is involved in signaling pathways specifically mediating pain and inflammation, making it a promising target for the treatment of various painful and inflammatory conditions. However, only one drug candidate targeting TRPV4 has entered the clinical trials. To identify potential TRPV4 inhibitors for drug development, we screened a library of ion channel-modulating compounds using both structure- and ligand-based virtual screening approaches.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!