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Showing 1–9 of 9 results
Advanced filters: Author: "Andrew L. Hopkins" Clear advanced filters
  • One billion people worldwide suffer from tropical diseases. Andrew L. Hopkins, Michael J. Witty and Solomon Nwaka explain how drug-discovery networks might be scaled up to address the lack of treatments cost-effectively.

    • Andrew L. Hopkins
    • Michael J. Witty
    • Solomon Nwaka
    Comments & Opinion
    Nature
    Volume: 449, P: 166-169
    • Andrew L. Hopkins
    • Colin R. Groom
    Reviews
    Nature Reviews Drug Discovery
    Volume: 1, P: 727-730
  • The susceptibility of organisms to chemical perturbation differs as a result of defenses that limit the permeation of small molecules. Screening for permeation, rather than bioactivity, to identify a priori organism-specific chemical space offers an intriguing approach to phenotypic assays and potentially addresses some fundamental challenges in drug discovery.

    • Andrew L Hopkins
    • G Richard Bickerton
    News & Views
    Nature Chemical Biology
    Volume: 6, P: 482-483
  • Network biology illuminates our understanding of drug action.

    • Andrew L Hopkins
    News & Views
    Nature Biotechnology
    Volume: 25, P: 1110-1111
  • Computational methods that reliably predict the biological activities of compounds have long been sought. The validation of one such method suggests that in silico predictions for drug discovery have come of age.

    • Andrew L. Hopkins
    News & Views
    Nature
    Volume: 462, P: 167-168
  • For the past decade, the number of molecular targets for approved drugs has been debated. In this article and the accompanying poster, Overington and colleagues provide a comprehensive survey of current drug targets and a wealth of associated information on the characteristics of target families and the drugs that modulate them.

    • John P. Overington
    • Bissan Al-Lazikani
    • Andrew L. Hopkins
    Reviews
    Nature Reviews Drug Discovery
    Volume: 5, P: 993-996
  • Ligand efficiency metrics quantify the molecular properties required to gain binding affinity for a drug target. This article discusses the application of such metrics in the selection and optimization of fragments, hits and leads, highlighting how optimizing ligand efficiency metrics based on both molecular mass and lipophilicity, when set in the context of the specific target, has the potential to increase the quality of drug candidates.

    • Andrew L. Hopkins
    • György M. Keserü
    • Charles H. Reynolds
    Research
    Nature Reviews Drug Discovery
    Volume: 13, P: 105-121
  • The wealth of genomic data for pathogens that cause tropical diseases hold considerable promise for the discovery of novel drugs. An international consortium describes how the TDR Targets database integrates this data with related biochemical and pharmacological data to facilitate the identification and prioritization of drug targets.

    • Fernán Agüero
    • Bissan Al-Lazikani
    • Christophe L. M. J. Verlinde
    Reviews
    Nature Reviews Drug Discovery
    Volume: 7, P: 900-907