{"doi":"10.1021/acs.jpcb.5c04545","title":"Ligand Dissociation Pathways from Membrane Receptors Revealed by Weighted Ensemble Simulations","abstract":"G-protein-coupled receptors (GPCRs) are pivotal in cellular signal transduction and serve as key drug targets. Among them, the β-adrenergic receptors (β 1 AR and β 2 AR) regulate cardiovascular function and are activated by endogenous catecholamines, norepinephrine (NE), and epinephrine (EP). While ligand interaction kinetics, especially the dissociation rate constants ( k off ), have been recognized as a key parameter for drug development, accurate and atomistic modeling of these processes remains a major challenge due to the rarity and slow time scales of unbinding events. Hence, we applied the weighted ensemble method (WE), an enhanced sampling method, in molecular dynamics (MD) simulations to sample the dissociation pathways of NE and EP from β 1 AR and β 2 AR. To analyze and visualize the results, we used machine learning-based techniques, such as principal component analysis (PCA), t -distributed stochastic neighbor embedding ( t -SNE), and density-based spatial clustering of applications with noise (DBSCAN). These methods enabled unbiased sampling of ligand dissociation from membrane-embedded GPCRs while preserving kinetics. We found that NE and EP dissociate via front-side pathways in β 1 AR but favor a back-side pathway in β 2 AR. We also found that WE simulations could yield reasonable k off values.","journal":"The Journal of Physical Chemistry B","year":2025,"id":527167,"datarank":0.20794415416798362,"base_score":1.3862943611198906,"endowment":1.3862943611198906,"self_citation_contribution":0.20794415416798362,"citation_network_contribution":0.0,"self_endowment_contribution":0.20794415416798362,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":3,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9619,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1048238,"name":"Kyle C. Rouen","orcid":"0000-0001-8684-0614","position":1,"is_corresponding":false},{"id":249827,"name":"Vladimir Yarov‐Yarovoy","orcid":"0000-0002-2325-4834","position":2,"is_corresponding":false},{"id":294215,"name":"Colleen E. Clancy","orcid":"0000-0001-6849-4885","position":3,"is_corresponding":false},{"id":329346,"name":"Yang K. Xiang","orcid":"0000-0003-1786-9143","position":4,"is_corresponding":false},{"id":48172,"name":"Igor Vorobyov","orcid":"0000-0002-4767-5297","position":5,"is_corresponding":false},{"id":551862,"name":"Surl-Hee Ahn","orcid":"0000-0002-3422-805X","position":6,"is_corresponding":false},{"id":762239,"name":"Yanxiao Han","orcid":"0000-0002-1684-6073","position":0,"is_corresponding":true}],"reference_count":78,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T02:50:34.851930Z","pmid":"41083200","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}