Nathan Brown
About
Nathan Brown has authored 58 papers that have received a total of 2.6k indexed citations.
This includes 43 papers in Computational Theory and Mathematics, 36 papers in Molecular Biology and 12 papers in Materials Chemistry. The topics of these papers are Computational Drug Discovery Methods (43 papers), Machine Learning in Materials Science (11 papers) and Microbial Natural Products and Biosynthesis (9 papers). Nathan Brown is often cited by papers focused on Computational Drug Discovery Methods (43 papers), Machine Learning in Materials Science (11 papers) and Microbial Natural Products and Biosynthesis (9 papers) and collaborates with scholars based in United Kingdom, Switzerland and United States. Nathan Brown's co-authors include Julian Blagg, Ben McKay, Ansgar Schuffenhauer, Johann Gasteiger and Peter Ertl and has published in prestigious journals such as Chemical Society Reviews, PLoS ONE and Scientific Reports
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