%0 Journal Article %1 Gulsevin2021-sr %A Gulsevin, Alican %A Meiler, Jens %D 2021 %I Public Library of Science (PLoS) %J PLoS Comput. Biol. %K topic_lifescience %N 3 %P e1008818 %T Prediction of amphipathic helix-membrane interactions with Rosetta %V 17 %X Amphipathic helices have hydrophobic and hydrophilic/charged residues situated on opposite faces of the helix. They can anchor peripheral membrane proteins to the membrane, be attached to integral membrane proteins, or exist as independent peptides. Despite the widespread presence of membrane-interacting amphipathic helices, there is no computational tool within Rosetta to model their interactions with membranes. In order to address this need, we developed the AmphiScan protocol with PyRosetta, which runs a grid search to find the most favorable position of an amphipathic helix with respect to the membrane. The performance of the algorithm was tested in benchmarks with the RosettaMembrane, ref2015\_memb, and franklin2019 score functions on six engineered and 44 naturally-occurring amphipathic helices using membrane coordinates from the OPM and PDBTM databases, OREMPRO server, and MD simulations for comparison. The AmphiScan protocol predicted the coordinates of amphipathic helices within less than 3\AA of the reference structures and identified membrane-embedded residues with a Matthews Correlation Constant (MCC) of up to 0.57. Overall, AmphiScan stands as fast, accurate, and highly-customizable protocol that can be pipelined with other Rosetta and Python applications.

@article{Gulsevin2021-sr, abstract = {Amphipathic helices have hydrophobic and hydrophilic/charged residues situated on opposite faces of the helix. They can anchor peripheral membrane proteins to the membrane, be attached to integral membrane proteins, or exist as independent peptides. Despite the widespread presence of membrane-interacting amphipathic helices, there is no computational tool within Rosetta to model their interactions with membranes. In order to address this need, we developed the AmphiScan protocol with PyRosetta, which runs a grid search to find the most favorable position of an amphipathic helix with respect to the membrane. The performance of the algorithm was tested in benchmarks with the RosettaMembrane, ref2015\_memb, and franklin2019 score functions on six engineered and 44 naturally-occurring amphipathic helices using membrane coordinates from the OPM and PDBTM databases, OREMPRO server, and MD simulations for comparison. The AmphiScan protocol predicted the coordinates of amphipathic helices within less than 3{\AA} of the reference structures and identified membrane-embedded residues with a Matthews Correlation Constant (MCC) of up to 0.57. Overall, AmphiScan stands as fast, accurate, and highly-customizable protocol that can be pipelined with other Rosetta and Python applications.}, added-at = {2024-09-10T11:56:37.000+0200}, author = {Gulsevin, Alican and Meiler, Jens}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/202a83066d8ad20ef52a6e016308879ae/scadsfct}, copyright = {http://creativecommons.org/licenses/by/4.0/}, interhash = {0b3f61726b25a35bf4608dff1c465f1a}, intrahash = {02a83066d8ad20ef52a6e016308879ae}, journal = {PLoS Comput. Biol.}, keywords = {topic_lifescience}, language = {en}, month = mar, number = 3, pages = {e1008818}, publisher = {Public Library of Science (PLoS)}, timestamp = {2024-09-10T14:02:01.000+0200}, title = {Prediction of amphipathic helix-membrane interactions with Rosetta}, volume = 17, year = 2021 }