FREED++: Improving RL Agents for Fragment-Based Molecule Generation by Thorough Reproduction

Documenti analoghi

• Gradual Optimization Learning for Conformational Energy Minimization
  di: Tsypin, Artem, et al.
  Pubblicazione: (2023)
• $\nabla^2$DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials
  di: Khrabrov, Kuzma, et al.
  Pubblicazione: (2024)
• Fragment and Geometry Aware Tokenization of Molecules for Structure-Based Drug Design Using Language Models
  di: Fu, Cong, et al.
  Pubblicazione: (2024)
• Diffusion on language model encodings for protein sequence generation
  di: Meshchaninov, Viacheslav, et al.
  Pubblicazione: (2024)
• A Review on Fragment-based De Novo 2D Molecule Generation
  di: Voloboev, Sergei
  Pubblicazione: (2024)