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.
Publications
89 results for Matteo Manica
Understood in translation: transformers for domain understanding
- 2021
- AAAI 2021
Trends in deep learning for property-driven drug design
- Jannis Born
- Matteo Manica
- 2021
- Current Medicinal Chemistry
Convergent network effects along the axis of gene expression during prostate cancer progression
- Konstantina Charmpi
- Tiannan Guo
- et al.
- 2020
- Genome Biology
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
- Vijil Chenthamarakshan
- Payel Das
- et al.
- 2020
- NeurIPS 2020
Pre-training Protein Language Models with Label-Agnostic Binding Pairs Enhances Performance in Downstream Tasks
- Modestas Filipavicius
- Matteo Manica
- et al.
- 2020
- NeurIPS 2020
COSIFER: A Python package for the consensus inference of molecular interaction networks
- Matteo Manica
- Charlotte Bunne
- et al.
- 2020
- Bioinformatics
Inferring clonal composition from multiple tumor biopsies
- Matteo Manica
- Hyunjae Ryan Kim
- et al.
- 2020
- npj Systems Biology and Applications
PaccMannRL on SARS-CoV-2: Designing antiviral candidates with conditional generative models
- Jannis Born
- Matteo Manica
- et al.
- 2020
- ICML 2020
PaccMann: A web service for interpretable anticancer compound sensitivity prediction
- Joris Cadow
- Jannis Born
- et al.
- 2020
- Nucleic acids research