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- W4200630183 abstract "A genetic algorithm is suitable for exploring large search spaces as it finds an approximate solution. Because of this advantage, genetic algorithm is effective in exploring vast and unknown space such as molecular search space. Though the algorithm is suitable for searching vast chemical space, it is difficult to optimize pharmacological properties while maintaining molecular substructure. To solve this issue, we introduce a genetic algorithm featuring a constrained molecular inverse design. The proposed algorithm successfully produces valid molecules for crossover and mutation. Furthermore, it optimizes specific properties while adhering to structural constraints using a two-phase optimization. Experiments prove that our algorithm effectively finds molecules that satisfy specific properties while maintaining structural constraints." @default.
- W4200630183 created "2021-12-31" @default.
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- W4200630183 date "2021-12-07" @default.
- W4200630183 modified "2023-09-24" @default.
- W4200630183 title "Genetic Algorithm for Constrained Molecular Inverse Design" @default.
- W4200630183 hasPublicationYear "2021" @default.
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