Author

M. Oeller

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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Biophysics· 3 Biochemistry· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Research Focus:drug response / drug discovery· 3 Assay:proteomics· 2 Approach:statistical model· 2 Approach:experimental assay· 1 Research Focus:protein folding & dynamics· 1 Assay:protein sequence· 1 Assay:protein structure· 1

Frequent Co-Authors

P. Sormanni· 4 shared M. Vendruscolo· 3 shared R. Kang· 2 shared A. Bennett· 1 shared A. Gomes dos Santos· 1 shared A. Langborg Weinmann· 1 shared A. Levin· 1 shared A. Nikitidis· 1 shared

Activity by Year

2022-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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4 shared papersBiophysics

P. Sormanni

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Author profile →

4 papers

Recent·Most cited

Sequence-based prediction of the solubility of peptides containing non-natural amino acids

M. Oeller, R. Kang, H. Bolt, A. Gomes dos Santos, A. Langborg Weinmann, A. Nikitidis, P. Zlatoidsky, W. Su, W. Czechtizky, L. De Maria, P. Sormanni, M. Vendruscolo

The paper presents CamSol-PTM, a computational method to predict solubility of peptides with non-natural amino acids, validated through experimental testing of 30 variants.

bioRxiv · Mar 3, 2023 · PreprintBiophysics

Multi-dimensional protein solubility optimization with an ultra-high-throughput microfluidic platform

N. A. Erkamp, M. Oeller, T. Sneideris, H. Ausserwoger, A. Levin, T. J. Welsh, R. Qi, D. Qian, H. ZHU, P. Sormanni, M. Vendruscolo, T. Knowles

This paper introduces a high-throughput microfluidic platform for protein solubility screening, enabling rapid and efficient optimization of formulation additives and mutations.

bioRxiv · Oct 21, 2022 · PreprintBiophysics

Automated optimisation of solubility and conformational stability of antibodies and proteins

A. Rosace, A. Bennett, M. Oeller, M. M. Mortensen, L. I. Sakhnini, N. Lorenzen, C. Poulsen, P. Sormanni

This study introduces an automated computational method to co-optimize solubility and conformational stability of antibodies, validated on six antibodies with improved developability without affecting antigen-binding.

bioRxiv · May 20, 2022Biochemistry

Sequence-based pH-dependent prediction of protein solubility using CamSol

M. Oeller, R. Kang, P. Sormanni, M. Vendruscolo

The paper extends the CamSol method to predict protein solubility at different pH levels and validates it on antibodies and other proteins.

bioRxiv · May 9, 2022Biophysics