Free energy landscapes of KcsA inactivation
This study uses enhanced sampling simulations to analyze the free energy landscape of KcsA inactivation, identifying key residues and force field dependencies in the process.
Author
Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
6 papers
Recent·Most cited
This study uses enhanced sampling simulations to analyze the free energy landscape of KcsA inactivation, identifying key residues and force field dependencies in the process.
L. Rems, X. Tang, F. Zhao…·L. Delemotte
This study identifies electroporation sites in the plasma membrane by combining simulations, machine learning, and Bayesian analysis, showing pores form in lipid domains with high polyunsaturated lipid density and depend on mechanical properties and electric field polarity.
Y. Chen, O. Fleetwood, S. Perez-Conesa, L. Delemotte
This study investigates how nanobody binding stabilizes the active state of the β2-adrenergic receptor and modulates ligand affinity through conformational changes and allosteric signaling.
A. Mehregan, S. Perez-Conesa, Y. Zhuang…·L. Delemotte
This study investigates the SARS-CoV-2 E protein's effects on membrane curvature and intracellular calcium, using experimental and computational methods.
S. Perez-Conesa, E. G. Keeler, D. Zhang…·A. E. McDermott
The paper uses molecular dynamics simulations and NMR data to identify the activated state of the KcsA ion channel that best matches experimental SSNMR results.
A. M. Westerlund, O. Fleetwood, S. Perez-Conesa, L. Delemotte
The paper extends residue interaction networks to include lipids and small molecules, showing their role in membrane protein allostery using three protein examples.