Author

Luke Smith

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Biophysics· 1

Signature Assays, Organisms & Methods

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Organism:human· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Dominic Pühringer· 1 shared Georg MlynekiD· 1 shared Julius KostaniD· 1 shared Kristina Djinović-CarugoiD· 1 shared Luis R Lopes· 1 shared Mathias GauteliD· 1 shared Michael NagyiD· 1 shared Mohammed Majid AkhtariD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBiophysics

Dominic Pühringer

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1 paper

Recent·Most cited

BiophysicsbioRxivPreprintAug 5, 2023

Unlocking Predictive Power: A Machine Learning Tool Derived from In-Depth Analysis to Forecast the Impact of Missense Variants in Human Filamin C

Michael Nagy, Georg Mlynek, Julius Kostan…·Kristina Djinović-Carugo

The paper develops a machine learning model to predict the impact of missense variants in human filamin C, achieving high accuracy in distinguishing pathogenic from non-pathogenic variants.

DOI 10.1101/2023.08.05.552086

humanproteomics

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