{"id":"W1535251520","doi":"10.1111/cbdd.12042","title":"Peptide Scanning for Studying Structure‐Activity Relationships in Drug Discovery","year":2012,"lang":"en","type":"review","venue":"Chemical Biology & Drug Design","topic":"Chemical Synthesis and Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Peptidomimetic; Drug discovery; Peptide; Chemical space; Computational biology; Drug development; Combinatorial chemistry; Amino acid; Chemistry; Biological activity; Cyclic peptide; Drug; Biochemistry; Biology; In vitro; Pharmacology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008568628,0.000608089,0.001528215,0.00012623,0.0001267901,0.00004329018,0.0005218769,0.0008438388,0.00001692271],"category_scores_gemma":[0.0005686404,0.0004903032,0.0007747851,0.0002609313,0.0001971726,0.00001390786,0.0002565659,0.0006670954,0.000007903195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000134572,"about_ca_system_score_gemma":0.0001572754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002347658,"about_ca_topic_score_gemma":0.00001502883,"domain_scores_codex":[0.9969792,0.0005618473,0.0006841233,0.001001391,0.000101051,0.0006723665],"domain_scores_gemma":[0.9979769,0.0008522223,0.0004089295,0.0005539338,0.00004880867,0.0001592333],"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":[0.000150697,0.000388956,0.001009214,0.003187947,0.001098649,0.000003151642,0.00009044696,0.00001210796,0.4597373,0.0001220714,0.002926224,0.5312732],"study_design_scores_gemma":[0.0006401434,0.00003957031,0.00002154073,0.001655398,0.002045788,0.00001923446,0.00005074326,0.00002502741,0.1768495,0.0005935811,0.8163961,0.001663409],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01940962,0.9762841,0.002988706,0.00004092774,0.0001305397,0.0008624952,0.00018503,0.00002216267,0.00007645966],"genre_scores_gemma":[0.2600075,0.7326728,0.003017175,0.00005225898,0.001191372,0.0004810027,0.001878803,0.0001331246,0.0005659882],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8134698,"threshold_uncertainty_score":0.9997548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07778219482896641,"score_gpt":0.3191574504627959,"score_spread":0.2413752556338294,"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."}}