Author

Maximilian Edich

Universität HamburgORCID 0000-0002-0371-4784Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:protein structure· 2 Research Focus:protein structure prediction· 2 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Organism:virus· 1

Frequent Co-Authors

Andrea ThorniD· 2 shared David C. BriggsiD· 2 shared Yunyun GaoiD· 2 shared Oliver KippesiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersMolecular Biology

Andrea ThornORCID

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2 papers

Recent·Most cited

Molecular BiologybioRxivPreprintJan 14, 2025

Unlocking the Secrets of NSP3: AlphaFold2-assisted Domain Determination in SARS-CoV-2 Protein

Maximilian Edich, David C. Briggs, Yunyun Gao, Andrea Thorn

The paper uses AlphaFold2 and experimental methods to determine new domains in SARS-CoV-2 nsp3, revealing a previously unknown folded domain and suggesting a function for a conserved domain in viral pore assembly.

DOI 10.1101/2025.01.14.632924

virusprotein structure

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BioinformaticsbioRxivPreprintApr 7, 2022

The impact of AlphaFold on experimental structure solution

Maximilian Edich, David C. Briggs, Oliver Kippes…·Andrea Thorn

This paper discusses the impact of AlphaFold2 on structural biology, highlighting its accuracy and applications while noting its limitations in predicting conformational variability and posttranslational modifications.

4 citations

protein structuremachine learning (classical)

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