{"id":"W2412063897","doi":"10.1007/978-1-4614-3704-8_10","title":"Estimation of Intrinsically Disordered Protein Shape and Time-Averaged Apparent Hydration in Native Conditions by a Combination of Hydrodynamic Methods","year":2012,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Centre National de la Recherche Scientifique; Agence Nationale de la Recherche; Institut national de la recherche scientifique","keywords":"Hydrodynamic radius; Viscosity; RADIUS; Macromolecule; Intrinsic viscosity; Analytical Ultracentrifugation; Intrinsically disordered proteins; Chemistry; Chemical physics; Ultracentrifuge; Biological system; Materials science; Dynamic light scattering; Physics; Chromatography; Nanotechnology; Thermodynamics; Computer science; Polymer; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008852122,0.0005487148,0.0006617057,0.001041849,0.0003636669,0.0004587609,0.0004557269,0.0003520714,0.0001988596],"category_scores_gemma":[0.001542321,0.0004085925,0.0003330955,0.000509712,0.0004497707,0.00117336,0.0005736729,0.0006511109,0.0001208097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002766908,"about_ca_system_score_gemma":0.0004165644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001261556,"about_ca_topic_score_gemma":0.001905591,"domain_scores_codex":[0.9997804,0.00003350799,0.0000153079,0.00007709951,0.00007465026,0.00001919997],"domain_scores_gemma":[0.9992894,0.0002306242,0.0001144208,0.000100586,0.0001823234,0.00008253407],"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":[0.0003289581,0.0001071146,0.006375609,0.0001482978,0.00009109238,0.0000868714,0.0002116726,0.00786234,0.9526466,0.0008610331,0.0001555843,0.03112471],"study_design_scores_gemma":[0.00004496618,0.0002266874,0.01990968,0.00001168777,0.00008814519,0.0003855366,0.0001162169,0.5804846,0.3967845,0.001082293,0.0007468972,0.0001187248],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5868325,0.0004346639,0.4115678,0.00004662555,0.00003018272,0.00005382119,0.0001600042,0.0004690025,0.0004054621],"genre_scores_gemma":[0.7494541,0.0006199274,0.2487779,0.00002707855,0.00003006742,0.0001050257,0.0002895037,0.0001647836,0.0005316771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001261556,"threshold_uncertainty_score":0.004681528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006465177363825781,"score_gpt":0.3483783704737862,"score_spread":0.3419131931099604,"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."}}