Matteo Manica
IBM Research - Zurich(CH)
Publications by Year
Research Areas
Computational Drug Discovery Methods, Protein Structure and Dynamics, Machine Learning in Materials Science, Bioinformatics and Genomic Networks, Machine Learning in Bioinformatics
Most-Cited Works
- → Multitask Prompted Training Enables Zero-Shot Task Generalization(2021)561 cited
- → Mixed-precision in-memory computing(2018)449 cited
- → Toward Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-Based Convolutional Encoders(2019)147 cited
- → Biocatalysed synthesis planning using data-driven learning(2022)129 cited
- → Regression Transformer enables concurrent sequence regression and generation for molecular language modelling(2023)125 cited
- → PaccMannRL: De novo generation of hit-like anticancer molecules from transcriptomic data via reinforcement learning(2021)95 cited
- → PaccMann: a web service for interpretable anticancer compound sensitivity prediction(2020)78 cited
- → On the role of artificial intelligence in medical imaging of COVID-19(2021)62 cited
- CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models(2020)
- → Foundation models for materials discovery – current state and future directions(2025)48 cited