Integration of experimental data and use of automated fitting methods in developing protein force fields
| dc.contributor.author | PolĂȘto, Marcelo D. | en |
| dc.contributor.author | Lemkul, Justin A. | en |
| dc.date.accessioned | 2022-03-21T13:00:36Z | en |
| dc.date.available | 2022-03-21T13:00:36Z | en |
| dc.date.issued | 2022-03-18 | en |
| dc.description.abstract | The development of accurate protein force fields has been the cornerstone of molecular simulations for the past 50 years. During this period, many lessons have been learned regarding the use of experimental target data and parameter fitting procedures. Here, we review recent advances in protein force field development. We discuss the recent emergence of polarizable force fields and the role of electronic polarization and areas in which additive force fields fall short. The use of automated fitting methods and the inclusion of additional experimental solution data during parametrization is discussed as a means to highlight possible routes to improve the accuracy of force fields even further. | en |
| dc.description.sponsorship | This work was supported by a grant from the National Institutes of Health (R35GM133754 to J.A.L.). | en |
| dc.description.version | Published version | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | PolĂȘto, M.D., Lemkul, J.A. Integration of experimental data and use of automated fitting methods in developing protein force fields. Commun Chem 5, 38 (2022). https://doi.org/10.1038/s42004-022-00653-z | en |
| dc.identifier.doi | https://doi.org/10.1038/s42004-022-00653-z | en |
| dc.identifier.uri | http://hdl.handle.net/10919/109363 | en |
| dc.identifier.volume | 5 | en |
| dc.language.iso | en | en |
| dc.publisher | Springer Nature | en |
| dc.rights | Creative Commons Attribution 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en |
| dc.subject | Biophysical chemistry | en |
| dc.subject | Molecular dynamics | en |
| dc.title | Integration of experimental data and use of automated fitting methods in developing protein force fields | en |
| dc.title.serial | Communications Chemistry | en |
| dc.type | Article - Refereed | en |
| dc.type.dcmitype | Text | en |