{"id":"W1972699518","doi":"10.1016/j.sbi.2012.08.008","title":"Probing the diverse landscape of protein flexibility and binding","year":2012,"lang":"en","type":"review","venue":"Current Opinion in Structural Biology","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":107,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Cancer Society Research Institute","keywords":"Flexibility (engineering); Protein dynamics; Protein structure; Molecular dynamics; Bound state; Biophysics; Nuclear magnetic resonance spectroscopy; Biological system; Chemistry; Computational biology; Computer science; Physics; Chemical physics; Nanotechnology; Crystallography; Materials science; Biology; Computational chemistry; Biochemistry; Stereochemistry; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001586602,0.00184956,0.00288381,0.001620061,0.0003984147,0.001764737,0.00283065,0.002973696,0.001999657],"category_scores_gemma":[0.001123511,0.0007852797,0.000559961,0.002292567,0.00262371,0.004294006,0.001653728,0.003114362,0.002402046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001144236,"about_ca_system_score_gemma":0.0009329804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001156558,"about_ca_topic_score_gemma":0.001975988,"domain_scores_codex":[0.9995779,0.00006541215,0.00002200947,0.0001272084,0.0001473863,0.00006005276],"domain_scores_gemma":[0.9994323,0.0002962595,0.00007323837,0.00003412267,0.0001029347,0.00006111364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001201028,0.00006012436,0.0002908324,0.009652622,0.00009120848,0.0002129982,0.00006386534,0.001241312,0.0265581,0.01344496,0.02058153,0.9276824],"study_design_scores_gemma":[0.00004001209,0.0001225404,0.001720633,0.001985598,0.0001735517,0.001855181,0.0001792246,0.001482315,0.0126393,0.02508738,0.9546123,0.0001019239],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004062768,0.9946662,0.002336744,0.0007999492,0.0003775904,0.000005543036,0.0000316291,0.00002979195,0.001346188],"genre_scores_gemma":[0.002376577,0.9946494,0.001185472,0.0005413213,0.0004313856,0.00001248194,0.00007288552,0.000005804031,0.0007247605],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002973696,"threshold_uncertainty_score":0.008390844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07044701812662561,"score_gpt":0.3712246280622621,"score_spread":0.3007776099356365,"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."}}