Author

Kasper P. Kepp

Technical University of DenmarkORCID 0000-0002-6754-7348Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biophysics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1

Frequent Co-Authors

Rukmankesh MehraiD· 1 shared Shivani ThakuriD· 1 shared

Activity by Year

2019-2023 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperBiophysics

Rukmankesh MehraORCID

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2 papers

Recent·Most cited

BiophysicsJournal of Structural BiologyPeer-reviewedNov 4, 2023

Predicting Virus Fitness: Towards a structure-based computational model

Shivani Thakur, Kasper P. Kepp, Rukmankesh Mehra

The paper develops a structure-based computational model to predict virus fitness by analyzing mutations in the SARS-CoV-2 spike protein's binding to ACE2 and antibodies.

8 citations

humanprotein structure

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NeuroscienceNeurobiology of AgingPeer-reviewedApr 10, 2019

A quantitative model of human neurodegenerative diseases involving protein aggregation

Kasper P. Kepp

This paper proposes a mathematical model linking proteomic cost minimization to neurodegenerative diseases, explaining symptom onset and cognitive decline through energy constraints.

24 citations

humanproteomics

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