Matteo Manica
researcher
Facts
8 properties- Instance of
- human
- Date of birth
- 1988
- Occupation
- researcher
🏷️ Also known as
en Matteo Manica
🔖 Identifiers · 7
- ORCID iD
- 0000-0002-8872-0269
- VIAF cluster ID
- 25155042667872401417
- GND ID
- 1177836726
- DBLP author ID
- 194/3100
- DDB person (GND) ID
- 1177836726
- LinkedIn personal profile ID
- matteo-manica-drugilsberg
- Loop ID
- 1170848
🔗 Connections
Author of 16
Accelerating material design with the generative toolkit for scientific discovery,
Active Site Sequence Representations of Human Kinases Outperform Full Sequence Representations for Affinity Prediction and Inhibitor Generation: 3D Effects in a 1D Model,
Artificial intelligence driven design of catalysts and materials for ring opening polymerization using a domain-specific language,
Biocatalysed synthesis planning using data-driven learning,
Chemical representation learning for toxicity prediction,
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models,
Data-driven molecular design for discovery and synthesis of novel ligands: a case study on SARS-CoV-2,
Guiding Attention in Sequence-to-Sequence Models for Dialogue Act Prediction
+8 more
← Authored by 16
Accelerating material design with the generative toolkit for scientific discovery,
Active Site Sequence Representations of Human Kinases Outperform Full Sequence Representations for Affinity Prediction and Inhibitor Generation: 3D Effects in a 1D Model,
Artificial intelligence driven design of catalysts and materials for ring opening polymerization using a domain-specific language,
Biocatalysed synthesis planning using data-driven learning,
Chemical representation learning for toxicity prediction,
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models,
Data-driven molecular design for discovery and synthesis of novel ligands: a case study on SARS-CoV-2,
Guiding Attention in Sequence-to-Sequence Models for Dialogue Act Prediction
+8 more
Affiliated with 3
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