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Teodoro Laino

3 accepted papers

2024

Unraveling Molecular Structure: A Multimodal Spectroscopic Dataset for Chemistry

NeurIPS 2024poster

Spectroscopic techniques are essential tools for determining the structure of molecules. Different spectroscopic techniques, such as Nuclear magnetic resonance (NMR), Infrared spectroscopy, and Mass Spectrometry, provide insight into the molecular structure, including the presence or absence of func…

2023

Unifying Molecular and Textual Representations via Multi-task Language Modelling

ICML 2023poster

The recent advances in neural language models have also been successfully applied to the field of chemistry, offering generative solutions for classical problems in molecular design and synthesis planning. These new methods have the potential to fuel a new era of data-driven automation in scientific…

2020

CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models

NeurIPS 2020poster

The novel nature of SARS-CoV-2 calls for the development of efficient de novo drug design approaches. In this study, we propose an end-to-end framework, named CogMol (Controlled Generation of Molecules), for designing new drug-like small molecules targeting novel viral proteins with high affinity an…