{"id":"W2133741696","doi":"10.1177/1087057109357117","title":"Assessing the Stability of Membrane Proteins to Detect Ligand Binding Using Differential Static Light Scattering","year":2010,"lang":"en","type":"article","venue":"SLAS DISCOVERY","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; University of Toronto; Structural Genomics Consortium","funders":"Knut och Alice Wallenbergs Stiftelse; Karolinska Institutet; Ontario Ministry of Research and Innovation; Novartis Foundation; Stiftelsen för Strategisk Forskning; Wellcome Trust; Canadian Institutes of Health Research; Genome Canada; GlaxoSmithKline; Merck; Ontario Innovation Trust; Ontario Genomics Institute","keywords":"Membrane protein; ATP-binding cassette transporter; Ligand (biochemistry); Chemistry; Membrane; Biophysics; Biochemistry; Transporter; Biology; Receptor; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001811926,0.0001670273,0.0002155548,0.00006845055,0.0002098674,0.0002903549,0.0003176918,0.0000771886,0.0006375306],"category_scores_gemma":[0.00007975876,0.000123502,0.00009999672,0.0002618468,0.00008071154,0.0003107216,0.0001768694,0.000323665,0.000002784945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006027574,"about_ca_system_score_gemma":0.0000624014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000104046,"about_ca_topic_score_gemma":0.00005600557,"domain_scores_codex":[0.9988536,0.00001724932,0.0003202074,0.0002983701,0.0002394086,0.0002711258],"domain_scores_gemma":[0.9990148,0.00009653853,0.0001647382,0.0006241259,0.00003572514,0.00006406166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000006800371,0.00004902534,0.001967607,0.0001625577,0.00001838474,6.340389e-7,0.0001049202,0.000004247512,0.9965889,0.000631843,0.000004800948,0.0004602851],"study_design_scores_gemma":[0.0001008739,0.00001271082,0.0008447202,0.00008656169,0.00003374183,0.000004023364,0.0001673231,0.0003441303,0.9973902,0.0007393666,0.0001237481,0.0001525992],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869165,0.000005613167,0.01038499,0.0002214001,0.00006660954,0.0002759992,0.00003950651,0.0000716376,0.002017757],"genre_scores_gemma":[0.9949866,0.000001954752,0.004717928,0.00001318219,0.0001184895,0.0000714655,0.000006580929,0.00002798867,0.00005583158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008070096,"threshold_uncertainty_score":0.6980513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0215162718036127,"score_gpt":0.2976357300137145,"score_spread":0.2761194582101018,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}