Guillermo Marcos-Ayuso

Employment

• Aitenea Biotech Investigador Postdoctoral Torres-Quevedo
  2024 - Present

Education

• Universidad Autónoma de Madrid Postdoc
  2023 - 2024
• University of Valladolid MSc in Synthetic and Industrial Chemistry
  2018 - 2019
• University of Valladolid BSc in Chemistry
  2013 - 2018
• Universidad de Valladolid PhD
  ? - 2023

Projects & Funding

Projects & funding information is unavailable.

Publications (15)

• PockLigGPT: Pocket-Sequence-Conditioned Molecular Generation with GPTs and RL
  Journal of Chemical Information and Modeling 2026 DOI: 10.1021/acs.jcim.6c01980
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• MolOrgGPT: De Novo Generation via Large Language Models and Reinforcement Learning
  Journal of Chemical Information and Modeling 2026 DOI: 10.1021/acs.jcim.5c02400
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• Correction to “AI-Driven De Novo Design and Development of Nontoxic DYRK1A Inhibitors”
  Journal of Medicinal Chemistry 2025 DOI: 10.1021/acs.jmedchem.5c02889
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• Del laboratorio al algoritmo: automatización inteligente y modelos predictivos en el diseño moderno de fármacos
  FarmaBiotec 2025
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• Decoding Regioselectivity in Cu-Catalyzed Borylation of Alkynes: Insights from Machine Learning and Artificial Intelligence
  ACS Catalysis 2025 DOI: 10.1021/acscatal.5c06941
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• Decoding Regioselectivity in Cu-Catalyzed Borylation of Al-kynes: Insights from Machine Learning and Artificial Intelligence
  2025 DOI: 10.26434/chemrxiv-2025-1b0jp-v2
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• AI-Driven De Novo Design and Development of Nontoxic DYRK1A Inhibitors
  Journal of Medicinal Chemistry 2025 DOI: 10.1021/acs.jmedchem.5c00512
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• Retrosíntesis, su relevancia en química orgánica y en el desarrollo de fármacos
  FarmaBiotec 2025
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• AI-driven de-novo design and development of non-toxic DYRK1A inhibitors
  2025 DOI: 10.26434/chemrxiv-2024-rcx7n-v2
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• El papel de la inteligencia artificial en la predicción de propiedades estructurales en la síntesis de fármacos
  FarmaBiotec 2024
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