Bibliographic record
Abstract
biogenesis factors, 205 90S preribosomal complex, 204 90S preribosome particles, 205 Absolute quantifi cation (AQUA), 148, 150 Acetylation, 17, 23 Achromobacter protease I, 89 Acid-cleavable linker, 136 Actinomycin D (inhibitor of RNA polymerase I), 170, 233, 234 Activity-based protein profi ling (ABP), 16 Affi nity purifi cation, 177 Affi nity purifi cation-tags, 176 Affi nity-tag-fused protein, 188 Affi nity-tag purifi cation, 174 All-in one capillary column, 73 All-in-one ESI column, 74 Aminoethylcycteine, 111, 114 Aminoethylcycteine modifi cation, 113 Anaphase-promoting complex, 197 Anion exchange (AE), 72 Antibody-fi xed beads, 180, 181 Antibody-fi xed protein G-Sepharose beads, 185 Anti-FLAG antibody-fi xed beads, 210 Arf, 208 ASAPRatio, 143 Assembly snapshot, 205 Assembly snapshot analysis, 171, 202 Automated multidimensional LC-MS/MS, 197 Automated quantifi cation, 144 Avidin, 106 INDEX C. elegans, 96, 98, 123 Capillary column, 74 13 C4-succinic anhydride, 140 α-Casein, 116 β-Casein, 116 Cataloging proteomics, 15 CD4/lck receptor, 197 Cell-surface proteins, 102 Cellular localization, 204 Cellular machinery, 196 Chaperonin (GroEL), 15 Cleavable stable isotope-labeled synthetic peptide, 149 cMyc, 208 Coding sequence (CDS) identifi er, 97 Codon adaptation index (CAI), 99, 100 Collision-induced dissociation (CID), 10, 11 Column packing, 76, 77 Complex-interaction proteomics, 16 Con-A agarose column, 121 Coomassie blue, 4 cprotein complex, 168 cullin-RING ubiquitin ligase complex, 197 Culture-derived isotope tag (CDIT), 134 α-Cyano-4-hydroxycinnamic acid, 7 Cytoplasm, 204 DAT fi le, 88 Database search, 88 Data-dependent collision-induced dissociation MS/MS, 84 Data-dependent tandem MS, 66 DDX47-associated pre-rRNP complexes, 218, 232 Descriptive proteomics, 15 Diagnosis, 13 Diamond-Blackfan anemia, 208 5,6-Dichlorobenzimidazole riboside (DRB, inhibitor of RNA polymerase II), 234 Different LC-MS, 146 Dimethyl pimelimidate (DMP), 181 Direct analysis of large protein complexes (DALPC), 68 Direct delivery pump, 79 Direct nano LC (DNLC) system, 80, 83 Double-tagging approach, 177, 179 Double-tagging methodology, 196 Dynamic analysis, 224 Dynamic range of protein abundance, 14 Dyskeratosis congentia, 208 Edman aequencing, 5 EGF-receptor-MAP kinase, 197 Electrical switching valve, 81 Electrospray ionization (ESI), 6, 7 Electrospray ionization apparatus, 72 Electrospray ionization interface, 73 Electrospray ionization-MS/MS, 12 Electrospray ionization spray needle, 72 Electrospray ionization-ToF MS, 65 β-Elimination, 18, 110, 113 emPAI, 91, 152 Endopeptidase Lys-C, 8 Enhancer binding protein α (EBPα), 197 Epitope-tag, 174 Epitope-tagged ubiquitin, 127 Escherichia coli, 98 Estrogen receptor, 196 Exosome, 218 Exponentially modifi ed version of PAI (emPAI), 152 Expression proteomics, 15 Extracted ion chromatograms (XICs), 140 Factor Xa recognition sequence, 188 Fast atom bombardment (FAB), 6 Fibrillarin, 208 Fibrillarin (FIB)-associated pre-rRNP complex, 223, 231 FLAG epitope, 196 FLAG-tag, 176, 179 Fluorescence loss in photobleaching (FLIP), 234 Fluorescence recovery after photobleaching (FRAT), 234 Fluorescent dye, 4 Focused proteomics, 16 Fourier transformed ion cyclotron resonance (FT-ICR), 6 Fraction-splitting phenomenon, 92 Fragment ion mass spectrum, 10 FT-ICR-MS, 70 Functional annotation, 236 Functional proteomics, 15, 101 Gas phase protein sequencer, 5 Gel-based technique, 10 Gel electrophoresis, 63 Gene ontology (GO) database, 108 Genome, 2 Global analysis of protein expression, 14 Global proteome machine, 71 Glucocorticoid receptor, 197 GluR6 kainate receptor, 197 Glutathione-S-transferase (GST)-tag, 176, 188 Glycosylation, 17, 21 Glysine-glysine (GG) modifi cation, 125 Gradient device, 80 10.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.784 | 0.738 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".