Journal of Medicinal Chemistry · 2003 · 229 citations · 35 references
PharmacyMedicinal ChemistryComputational ChemistryDrug DesignDrug DiscoveryComputational Drug DiscoveryDe Novo Drug DesignLigand-based DesignMolecular Property PredictionSynthetic Accessibility OptimizationAffinity LigandsComputer-aided Drug DiscoveryOrganic Molecule SynthesisProperty-based Drug DesignStructure-based De Novo DesignSynthetic Accessibility AnalysisSynthetic Accessibility PredictionSynthetic Accessibility Space
We present a de novo design program called SYNOPSIS, that includes a synthesis route for each generated molecule. SYNOPSIS designs novel molecules by starting from a database of available molecules and simulating organic synthesis steps. This way of generating molecules imposes synthetic accessibility on the molecules. In addition to a starting database, a fitness function is needed that calculates the value of a desired property for an arbitrary molecule. The values obtained from this function guide the design process in optimizing the molecules toward an optimal value of the calculated property. Two applications are described. The first uses an electric dipole moment calculation to generate molecules possessing a strong dipole moment. The second makes use of the three-dimensional structure of a viral enzyme in order to generate high affinity ligands. Twenty eight compounds designed with the program resulted in 18 synthesized and tested compounds, 10 of which showed HIV inhibitory activity in vitro.
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Optimization by Simulated Annealing
Scott Kirkpatrick, C. D. Gelatt, M.P. Vecchi · Science · 1983 · 44.6K citations
Equation of State Calculations by Fast Computing Machines
N. Metropolis, Arianna W. Rosenbluth, M. N. Rosenbluth et al. · The Journal of Chemical Physics · 1953 · 37.1K citations
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