Matthew C. Robinson

Broad Institute — United States

Computer Science · Physical Sciences

19h-index1.4kcitations48works7.02yr avg
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Research Topics

Computational Drug Discovery Methods(13), Advanced Thermodynamic Systems and Engines(10), Machine Learning in Materials Science(9), Refrigeration and Air Conditioning Technologies(7), Advanced Combustion Engine Technologies(6)

Publications44 total

Highly Enantioselective Synthesis of Halogenated Cyclopropanes via Enzyme‐Catalyzed Carbene Transfer
ChemCatChem·2025
Discovery of orally bioavailable Zika and West Nile Virus antiviral compounds targeting the NS2B-NS3 protease
2025· 2 citedOpen Access
Open-science discovery of DNDI-6510, a compound that addresses genotoxic and metabolic liabilities of the COVID Moonshot SARS-CoV-2 Mpro lead inhibitor
2025· 3 citedOpen Access
Generative chemistry
Elsevier eBooks·2025
An Adaptive Compute Approach to Optimize Inference Efficiency in Large Language Models
2024· 4 citedOpen Access
Discovery of SARS-CoV-2 papain-like protease (PL <sup>pro</sup> ) inhibitors with efficacy in a murine infection model
Science Advances·2024· 38 citedOpen Access
Discovery of potent SARS-CoV-2 nsp3 macrodomain inhibitors uncovers lack of translation to cellular antiviral response
2024· 7 citedOpen Access
Discovery of SARS-CoV-2 papain-like protease (PL <sup>pro</sup> ) inhibitors with efficacy in a murine infection model
2024· 5 citedOpen Access
Open science discovery of potent noncovalent SARS-CoV-2 main protease inhibitors
Science·2023· 159 citedOpen Access
Turning high-throughput structural biology into predictive inhibitor design
Proceedings of the National Academy of Sciences·2023· 22 citedOpen Access
CoPriNet: graph neural networks provide accurate and rapid compound price prediction for molecule prioritisation
Digital Discovery·2022· 17 citedOpen Access
CoPriNet: Graph Neural Networks provide accurate and rapid compound price prediction for molecule prioritisation.
2022Open Access
CoPriNet: Graph Neural Networks provide accurate and rapid compound price prediction for molecule prioritisation.
2022Open Access
CoPriNet: Graph Neural Networks provide accurate and rapid compound price prediction for molecule prioritisation.
2022Open Access
CoPriNet: Graph Neural Networks provide accurate and rapid compound price prediction for molecule prioritisation.
2022Open Access
CoPriNet: Graph Neural Networks provide accurate and rapid compound price prediction for molecule prioritisation.
2022· 2 citedOpen Access
Numerical investigation of combustion characteristics of a single-cylinder linear engine fueled by natural gas under the influence of exhaust gas recirculation
International Journal of Ambient Energy·2022· 27 cited
CoPriNet: Deep learning compound price prediction for use in de novo molecule generation and prioritization.
2022Open Access
Open Science Discovery of Potent Non-Covalent SARS-CoV-2 Main Protease Inhibitors
2020· 70 citedOpen Access
Protein structure, amino acid composition and sequence determine proteome vulnerability to oxidation‐induced damage
The EMBO Journal·2020· 48 citedOpen Access
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Frequent Co-authors

Alpha A. Lee(19), F. von Delft(14), Nigel Clark(10), D. Fearon(7), Rubén Sánchez-García(7), Dávid Havasi(7), Gergely Takács(7), Charlotte M. Deane(7), Nir London(6), Haim Barr(6), L. Koekemoer(5), John D. Chodera(5), Annette von Delft(5), Shirly Duberstein(4), Melissa L. Boby(3), Galit Cohen(3), Dirk Jochmans(3), Thomas R. Vargo(3), Noa Lahav(3), Matteo P. Ferla(2)