Author

S. M. Lichtinger

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Biology Disciplines

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Biophysics· 2

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Approach:deep learning· 2 Research Focus:protein folding & dynamics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:protein structure· 1 Assay:proteomics· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

A. Garaizar· 1 shared A. Reinhardt· 1 shared P. C. Biggin· 1 shared R. Collepardo-Guevara· 1 shared

Activity by Year

2020-2023 · peak 1/yr

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4 top collaborators · 3 mutual co-author links

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1 shared paperBiophysics

A. Garaizar

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2 papers

Recent·Most cited

BiophysicsbioRxivJan 28, 2023

Tackling hysteresis in conformational sampling - how to be forgetful with MEMENTO

S. M. Lichtinger, P. C. Biggin

This paper introduces MEMENTO, a method to generate conformational transition paths in proteins that reduces hysteresis in molecular dynamics simulations, outperforming traditional targeted MD approaches.

DOI 10.1021/acs.jctc.3c00140

protein structuredeep learning

𝕏 PostBluesky

BiophysicsbioRxivOct 20, 2020

Targeted modulation of protein liquid-liquid phase separation by evolution of amino-acid sequence

S. M. Lichtinger, A. Garaizar, R. Collepardo-Guevara, A. Reinhardt

This paper evolves amino-acid sequences to modulate liquid-liquid phase separation in proteins, finding that sequence changes and environmental factors influence phase-separation behavior.

DOI 10.1371/journal.pcbi.1009328

proteomicsdeep learning

𝕏 PostBluesky