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The MALAMER project seeks to improve the simulation of metalloenzymes by integrating machine learning with advanced computational methods. This approach aims to enhance our understanding of enzyme reactivity, impacting drug discovery and catalyst development.
Metalloenzymes play a crucial role in various biological functions, going from small molecule transportation to catalyzing essential metabolic ingredients.
Understanding their reactivity is essential for advancing a broad range of fields and related industries, such as medicine, biotechnology, environmental science, and catalysis.
The computational modelling of biomolecules is a pillar of new drug and catalyst design, but the common methods used for purely organic-based compounds, such as empiri…
THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD, OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN
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United Kingdom, London
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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