@article{
 title = {Sampling errors in free energy simulations of small molecules in lipid bilayers.},
 type = {article},
 year = {2016},
 keywords = {Free energy,Hidden barrier,Orthogonal barrier,PMF,Potential of mean force,Review,Simulation,US,Umbrella sampling},
 pages = {2539-2548},
 volume = {1858},
 websites = {http://www.sciencedirect.com/science/article/pii/S0005273616300839},
 publisher = {Elsevier B.V.},
 id = {5812e3ef-6fa4-38cb-b50a-205c76bc85ea},
 created = {2016-09-12T16:10:18.000Z},
 file_attached = {true},
 profile_id = {0633c91d-b6d5-3fcd-9fa3-6021f99f2c58},
 last_modified = {2017-03-28T17:10:06.277Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {Free energy simulations are a powerful tool for evaluating the interactions of molecular solutes with lipid bilayers as mimetics of cellular membranes. However, these simulations are frequently hindered by systematic sampling errors. This review highlights recent progress in computing free energy profiles for inserting molecular solutes into lipid bilayers. Particular emphasis is placed on a systematic analysis of the free energy profiles, identifying the sources of sampling errors that reduce computational efficiency, and highlighting methodological advances that may alleviate sampling deficiencies. This article is part of a Special Issue entitled: Biosimulations edited by Ilpo Vattulainen and Tomasz Róg.},
 bibtype = {article},
 author = {Neale, Chris and Pomès, Régis},
 doi = {10.1016/j.bbamem.2016.03.006},
 journal = {Biochimica et biophysica acta},
 number = {10}
}

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