title: Computational approaches for fragment-based and de novo design.
abstract: Fragment-based and de novo design strategies have been used in drug discovery for years. The methodologies for these strategies are typically discussed separately, yet the applications of these techniques overlap substantially. We present a review of various fragment-based discovery and de novo design protocols with an emphasis on successful applications in real-world drug discovery projects. Furthermore, we illustrate the strengths and weaknesses of the various approaches and discuss how one method can be used to complement another. We also discuss how the incorporation of experimental data as constraints in computational models can produce novel compounds that occupy unique areas in intellectual property (IP) space yet are biased toward the desired chemical property space. Finally, we present recent research results suggesting that computational tools applied to fragment-based discovery and de novo design can have a greater impact on the discovery process when coupled with the right experiments.
authors.affiliation: Schrödinger, Inc., 120 West 45th Street, 29th Floor, New York, New York 10036, USA. kathryn.loving@schrodinger.com
authors.forename: Kathryn
authors.initials: K
authors.lastname: Loving
authors.forename: Ian
authors.initials: I
authors.lastname: Alberts
authors.forename: Woody
authors.initials: W
authors.lastname: Sherman
mesh_terms: D000465:Algorithms; D019295:Computational Biology; D003198:Computer Simulation; D018360:Crystallography, X-Ray; D015195:Drug Design; D008958:Models, Molecular; D004364:Pharmaceutical Preparations / Q000138:chemical synthesis / Q000737:chemistry*
chemical_list: D004364:Pharmaceutical Preparations