Author

C. L. Müller

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

Biology Disciplines

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Microbiology· 2 Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Approach:statistical model· 2 Organism:bacteria (other)· 1 Research Focus:batch correction / integration· 1 Research Focus:benchmarking· 1 Approach:biophysical modeling· 1 Research Focus:drug response / drug discovery· 1 Assay:metagenomics· 1

Frequent Co-Authors

A. De Tomassi· 1 shared A. R. Brochado· 1 shared A. U. Neumann· 1 shared A. Zannoni· 1 shared C. Hülpüsch· 1 shared C. M. Sharma· 1 shared C. Traidl-Hoffmann· 1 shared E. R. Claussen· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperMicrobiology

A. De Tomassi

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Pre-trained molecular representations enable antimicrobial discovery

R. Olayo-Alarcon, M. K. Amstalden, A. Zannoni, M. Bajramovic, C. M. Sharma, A. R. Brochado, M. Rezaei, C. L. Müller

This paper introduces a deep learning framework for antimicrobial discovery that identifies new compounds with antimicrobial potential using pre-trained molecular representations.

bioRxiv · Mar 11, 2024Microbiology

Bioinformatic correction of bacterial morphology-based extraction bias and chimeras in microbiome sequencing data

L. Rauer, A. De Tomassi, C. L. Müller, C. Hülpüsch, C. Traidl-Hoffmann, M. Reiger, A. U. Neumann

The paper corrects extraction bias in microbiome sequencing data using bacterial morphology, improving sample composition accuracy.

bioRxiv · Jul 6, 2023 · PreprintMicrobiology

CMA-ES-Rosetta: Blackbox optimization algorithm traverses rugged peptide docking energy landscapes

E. R. Claussen, P. D. Renfrew, C. L. Müller, K. Drew

The paper evaluates CMA-ES as an alternative optimization method for peptide docking, finding it outperforms default Rosetta minimizers on 23 out of 26 benchmark peptides.

bioRxiv · Dec 19, 2022 · PreprintBiophysics