Matteo Manica

ORCID

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 12

Top Venues

Nature communications

NPJ systems biology and applications

Journal of chemical information and modeling

Bioinformatics (Oxford, England)

IBM Research - Zurich

ETH Zürich (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

IBM Research - Zurich Apr 01 2019

Switzerland

Research Staff Member :: Cognitive Computing & Industry Solutions

IBM Research - Zurich Feb 01 2019 - Mar 31 2019

Switzerland

Post-doctoral Researcher :: Cognitive Computing & Industry Solutions

IBM Research - Zurich Jan 11 2016 - Jan 31 2019

Switzerland

Pre-doctoral Researcher :: Cognitive Computing & Industry Solutions

Moxoff

Italy

Analyst and Software Developer

Education History

ETH Zürich

Switzerland

PHD :: Institute of Molecular Systems Biology

Politecnico di Milano

Italy

MSC :: Department of Mathematics

Politecnico di Milano

Italy

BSC :: Department of Mathematics

Publications

Nathaniel H Park, Matteo Manica, Jannis Born, James L Hedrick, Tim Erdmann, Dmitry Yu Zubarev, Nil Adell-Mill, Pedro L Arrechea
Artificial intelligence driven design of catalysts and materials for ring opening polymerization using a domain-specific language. Nature communications 14 (1) (2023)
Nathaniel H Park, Matteo Manica, Jannis Born, James L Hedrick, Tim Erdmann, Dmitry Yu Zubarev, Nil Adell-Mill, Pedro L Arrechea
Author Correction: Artificial intelligence driven design of catalysts and materials for ring opening polymerization using a domain-specific language. Nature communications 14 (1) (2023)
Daniel Probst, Matteo Manica, Yves Gaetan Nana Teukam, Alessandro Castrogiovanni, Federico Paratore, Teodoro Laino
Biocatalysed synthesis planning using data-driven learning. Nature communications 13 (1) (2022)
Jannis Born, Yoel Shoshan, Tien Huynh, Wendy D Cornell, Eric J Martin, Matteo Manica
On the Choice of Active Site Sequences for Kinase-Ligand Affinity Prediction. Journal of chemical information and modeling 62 (18) (2022)
Varun S Sharma, Andrea Fossati, Rodolfo Ciuffa, Marija Buljan, Evan G Williams, Zhen Chen, Wenguang Shao, Patrick G A Pedrioli, Anthony W Purcell, María Rodríguez Martínez, Jiangning Song, Matteo Manica, Ruedi Aebersold, Chen Li
PCfun: a hybrid computational framework for systematic characterization of protein complex function. Briefings in bioinformatics 23 (4) (2022)
Jannis Born, Tien Huynh, Astrid Stroobants, Wendy D Cornell, Matteo Manica
Active Site Sequence Representations of Human Kinases Outperform Full Sequence Representations for Affinity Prediction and Inhibitor Generation: 3D Effects in a 1D Model. Journal of chemical information and modeling 62 (2) (2021)
Matteo Manica, Charlotte Bunne, Roland Mathis, Joris Cadow, Mehmet Eren Ahsen, Gustavo A Stolovitzky, María Rodríguez Martínez
COSIFER: a Python package for the consensus inference of molecular interaction networks. Bioinformatics (Oxford, England) 37 (14) (2021)
Joris Cadow, Matteo Manica, Roland Mathis, Tiannan Guo, Ruedi Aebersold, María Rodríguez Martínez
On the feasibility of deep learning applications using raw mass spectrometry data. Bioinformatics (Oxford, England) 37 (Suppl_1) (2021)
Matteo Manica, Hyunjae Ryan Kim, Roland Mathis, Philippe Chouvarine, Dorothea Rutishauser, Laura De Vargas Roditi, Bence Szalai, Ulrich Wagner, Kathrin Oehl, Karim Saba, Arati Pati, Julio Saez-Rodriguez, Angshumoy Roy, Donald W Parsons, Peter J Wild, María Rodríguez Martínez, Pavel Sumazin
Inferring clonal composition from multiple tumor biopsies. NPJ systems biology and applications 6 (1) (2020)
Ali Oskooei, Matteo Manica, Roland Mathis, María Rodríguez Martínez
Network-based Biased Tree Ensembles (NetBiTE) for Drug Sensitivity Prediction and Drug Sensitivity Biomarker Identification in Cancer. Scientific reports 9 (1) (2019)
Matteo Manica, Ali Oskooei, Jannis Born, Vigneshwari Subramanian, Julio Sáez-Rodríguez, María Rodríguez Martínez
Toward Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-Based Convolutional Encoders. Molecular pharmaceutics 16 (12) (2019)
Matteo Manica, Joris Cadow, Roland Mathis, María Rodríguez Martínez
PIMKL: Pathway-Induced Multiple Kernel Learning. NPJ systems biology and applications 5 (2019)

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Publication Activity (10 Years)

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Matteo Manica