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Showing 1–13 of 13 results
Advanced filters: Author: Roger G. Linington Clear advanced filters
  • Collateral sensitivity (CS), whereby resistance to one drug is accompanied by increased sensitivity to another, provides new opportunities for antimicrobial drug discovery. Here, Liu et al. screen large chemical libraries across 29 drug-resistant E. coli strains to identify multiple CS interactions, including natural products with potent CS activities against cephalosporin-resistant strains.

    • Dennis Y. Liu
    • Laura Phillips
    • Roger G. Linington
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-14
  • Polyketide macrolides are of interest for drug discovery but their inherent structural and stereochemical complexity hinders the exploration of related regions of chemical space more broadly. Here, the authors designed in silico and synthesized a library of tetrahydrofuran-containing polyketide macrolides, and screened them against a panel of biological assays, identifying biologically active library members.

    • Darryl M. Wilson
    • Daniel J. Driedger
    • Robert A. Britton
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-14
  • Comparing experimental mass spectra to reference spectra can enable natural product identification, but these spectral libraries are often incomplete and not universally applicable. Here, the authors present SNAP-MS, a tool that allows assigning compound families without experimental or calculated reference spectra.

    • Nicholas J. Morehouse
    • Trevor N. Clark
    • Roger G. Linington
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-10
  • Multistage mass spectrometry and algorithms for spectral alignment and dereplication allow sequencing of nonribosomal peptides, pharmacologically important compounds that are not encoded in the genome but built by nonribosomal peptide synthetases.

    • Julio Ng
    • Nuno Bandeira
    • Pavel A Pevzner
    Research
    Nature Methods
    Volume: 6, P: 596-599
  • IsoAnalyst is a mass spectrometry-based parallel stable isotope labeling platform that associates labeling patterns with bioinformatic structure prediction in order to connect natural products to their corresponding biosynthetic gene clusters.

    • Catherine S. McCaughey
    • Jeffrey A. van Santen
    • Roger G. Linington
    Research
    Nature Chemical Biology
    Volume: 18, P: 295-304
  • Drug resistant tuberculosis (TB) infections are emerging at a high rate, with only few therapeutic options currently available. Here, the authors report synthetic analogues of the natural product sansanmycin that target mycobacterial cell wall biosynthesis and represent potent leads for improved anti-TB treatments.

    • Anh T. Tran
    • Emma E. Watson
    • Richard J. Payne
    ResearchOpen Access
    Nature Communications
    Volume: 8, P: 1-9
  • Bacteria form biofilms as a strategy for survival and persistence. In this Review, Yildiz and colleagues discussVibrio cholerae surface attachment and the biofilm matrix components. They also review the regulatory network that governs V. choleraebiofilm formation, including the transcriptional regulators of key genes involved in this process, as well as the roles of small nucleotides and small RNAs.

    • Jennifer K. Teschler
    • David Zamorano-Sánchez
    • Fitnat H. Yildiz
    Reviews
    Nature Reviews Microbiology
    Volume: 13, P: 255-268
  • A single trimethylated species is obtained in an on-resin N-methylation reaction of a cyclic hexapeptide. This regioselectivity is driven by conformation and the presence of intramolecular hydrogen bonds, and is correlated with membrane permeability of the peptides.

    • Tina R White
    • Chad M Renzelman
    • R Scott Lokey
    Research
    Nature Chemical Biology
    Volume: 7, P: 810-817
  • Advances in computational omics technologies are enabling access to the hidden diversity of natural products, and artificial intelligence approaches are facilitating key steps in harnessing the therapeutic potential of such compounds, including biological activity prediction. This article discusses synergies between these fields to effectively identify drug candidates from the plethora of molecules produced by nature, and how to address the challenges in realizing the potential of these synergies.

    • Michael W. Mullowney
    • Katherine R. Duncan
    • Marnix H. Medema
    Reviews
    Nature Reviews Drug Discovery
    Volume: 22, P: 895-916
  • This Review covers the steps required to create high-quality image-based profiles from high-throughput microscopy images.

    • Juan C Caicedo
    • Sam Cooper
    • Anne E Carpenter
    ReviewsOpen Access
    Nature Methods
    Volume: 14, P: 849-863