Are you Daniel Domine?

Claim your profile

Publications (2)11.67 Total impact

  • [Show abstract] [Hide abstract]
    ABSTRACT: The widespread use of HTS and combinatorial chemistry techniques has led to the generation of large amounts of pharmacological data, which, in turn, has catalyzed the development of computational methods designed to reduce the time and cost in identifying molecules suitable for pharmaceutical development. This review focuses on the use of substructure-based in silico techniques for lead discovery, an effective and increasingly popular approach for augmenting the chance of selecting drug-like compounds for preclinical and clinical development.
    Drug Discovery Today 08/2003; 8(13):594-602. · 6.55 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: Cheminformatics is playing an ever-increasing role in small molecule drug discovery. The widespread use of high-throughput screening (HTS) and combinatorial chemistry techniques has led to the generation of large amounts of pharmacological data which, in turn, has catalyzed the development of computational methods designed to reduce the time and cost in identifying molecules suitable for pharmaceutical development. This review focuses on recent advances in the field of substructure analysis, an increasingly popular data mining technique with applications at many levels of the discovery process, including HTS, compound library design, virtual screening and the prediction of biological activity.
    Current opinion in drug discovery & development 06/2002; 5(3):391-9. · 5.12 Impact Factor