Author

M. M. Akhtar

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Biophysics· 1

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

Frequent Co-Authors

D. Puehringe· 1 shared G. Mlynek· 1 shared J. Kostan· 1 shared K. Djinovic-Carugo· 1 shared L. R. Lopes· 1 shared L. Smith· 1 shared M. Gautel· 1 shared M. Nagy· 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

D. Puehringe

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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

M. Nagy, G. Mlynek, J. Kostan…·K. Djinovic-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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