PaccMannRL: De novo generation of hit-like anticancer molecules from transcriptomic data via reinforcement learning
- Jannis Born
- Matteo Manica
- et al.
- 2021
- iScience
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84 results for Matteo Manica
Data-driven molecular design for discovery and synthesis of novel ligands: A case study on SARS-CoV-2
- Jannis Born
- Matteo Manica
- et al.
- 2021
- Machine Learning: Science and Tech.
Convergent network effects along the axis of gene expression during prostate cancer progression
- Konstantina Charmpi
- Tiannan Guo
- et al.
- 2020
- Genome Biology
COSIFER: A Python package for the consensus inference of molecular interaction networks
- Matteo Manica
- Charlotte Bunne
- et al.
- 2020
- Bioinformatics
PaccMann: A web service for interpretable anticancer compound sensitivity prediction
- Joris Cadow
- Jannis Born
- et al.
- 2020
- Nucleic acids research
Toward Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-Based Convolutional Encoders
- Matteo Manica
- Ali Oskooei
- et al.
- 2019
- Molecular Pharmaceutics
NeuNetS: An Automated Synthesis Engine for Neural Network Design
- Atin Sood
- Benjamin Elder
- et al.
- 2019
- arXiv
Language models can identify enzymatic binding sites in protein sequences
- Yves Gaetan Nana Teukam
- Loïc Kwate Dassi
- et al.
- 2024
- Computational And Structural Biotechnology Journal
Catalysts Synthesis Procedures Extraction from Synthesis Paragraphs using Large Language Models
- Daniel Pereira Costa
- Matteo Manica
- et al.
- 2024
- ICCatalysts 2024
HyperTaste Lab – A notebook with machine learning pipeline for chemical sensor arrays
- Gianmarco Gabrieli
- Michal Muszynski
- et al.
- 2023
- Eurosensors 2023