Author

L. De Maria

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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Biochemistry· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Approach:statistical model· 2 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:protein folding & dynamics· 1 Research Focus:sequence-to-function modeling· 1

Frequent Co-Authors

A. Gomes dos Santos· 1 shared A. Langborg Weinmann· 1 shared A. Nikitidis· 1 shared D. Petrovic· 1 shared F. Falcioni· 1 shared G. Gamiz-Arco· 1 shared H. Bolt· 1 shared I. Suarez-Martin· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBiophysics

A. Gomes dos Santos

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Author profile →

2 papers

Recent·Most cited

Ancestral versus Modern Substrate Scope in Family-1 Glycosidases

L. I. Gutierrez-Rus, D. Petrovic, P. Schneider, K. Zorn, G. Gamiz-Arco, R. Romero-Zaliz, I. Suarez-Martin, L. De Maria, F. Falcioni, V. A. Risso, M. A. Hayes, J. M. Sanchez-Ruiz

This study compares the substrate scope of a modern and ancestral family-1 glycosidase, finding the ancestral enzyme more efficient with large aglycon-containing flavonoid glycosides.

bioRxiv · Apr 11, 2024Biochemistry

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