Author

Diego del Alamo

Primary ORCID profile (0000-0003-1757-9971 · 4 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Diego del AlamoiD4 papers · GlaxoSmithKline (United States)

Biology Disciplines

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Research Focus:protein folding & dynamics· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

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Hassane S. MchaourabiD· 1 shared Jens MeileriD· 1 shared Jimmy B. Feix· 1 shared Maxx Tessmer· 1 shared Richard Stein· 1 shared

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2019-2019 · peak 1/yr

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1 shared paperBiophysics

Hassane S. MchaourabORCID

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1 paper

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BiophysicsbioRxivPreprintMar 18, 2019

Protein fold prediction using simulated DEER distance distributions and decay traces

Diego del Alamo, Maxx Tessmer, Richard Stein…·Jens Meiler

This paper introduces RosettaDEER, a method that simulates DEER distance distributions and decay traces to improve protein fold prediction using sparse experimental data.

DOI 10.1101/581181

electronic health recordsdeep learning

𝕏 PostBluesky