Author

M. B. Ulmschneider

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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Research Focus:drug response / drug discovery· 2 Approach:deep learning· 1 Approach:mechanistic / dynamical model· 1 Approach:statistical model· 1

Frequent Co-Authors

C. G. Starr· 1 shared C. H. Chen· 1 shared E. Lambden· 1 shared J. Ulmschneider· 1 shared M. I. Wallace· 1 shared S. Guha· 1 shared W. C. Wimley· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 11 mutual co-author links

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1 shared paperBiochemistry

C. G. Starr

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2 papers

Recent·Most cited

BiophysicsbioRxivPreprintDec 31, 2023

Novel gramicidin-derived ????-helical antimicrobialpeptides

E. Lambden, M. I. Wallace, M. B. Ulmschneider

This study designs gramicidin-derived antimicrobial peptides using molecular dynamics simulations and evaluates their efficacy based on structural and conductance properties.

DOI 10.1101/2023.12.31.573784

mechanistic / dynamical modeldrug response / drug discovery

𝕏 PostBluesky

BiochemistrybioRxivNov 1, 2020

Rational tuning of a membrane-perforating antimicrobial peptide to selectively target membranes of different lipid composition

C. H. Chen, C. G. Starr, S. Guha…·J. Ulmschneider

This paper tunes an antimicrobial peptide to selectively target membranes of different lipid compositions using high-throughput screening and molecular dynamics simulations.

DOI 10.1007/s00232-021-00174-1

deep learningstatistical model

𝕏 PostBluesky