Design, synthesis and biological evaluation of 2,3-disubstituted pyrazines
Bibliographic record
Abstract
Charles University in Prague, Faculty of Pharmacy in Hradec Králové Supervisor: Assoc. Prof. PharmD. Jan Zitko, PhD. Author: Marek Kerda Title of diploma thesis: Design, synthesis and biological evaluation of 2,3-disubstituted pyrazines This thesis deals with problem of tuberculosis. In a theoretical part are summarized information and knowledge about tuberculosis, nowadays epidemiology and drugs used in current treatment. There are also described drugs in the different stage of clinical trials and could be used for treatment of tuberculosis in the future. Searched information were used from accessible learning materials and in articles in online databases as Web of Science and PubMed. There are also summarized basic methods of computer design of new drugs. In practical part of this thesis was focus on novel inhibitor of prolyl-tRNA synthetase, which is based on structure of pyrazinamide. There was prepared in silico virtual library of pyrazine-based new potential ligands. Related docking to the structure of human prolyl t-RNA (pdb: 5VAD) and the bacterial version of this enzyme (pdb: 2J3M) and evaluation was performed in Molecular Operating Environment (Chemical Computing Group, Canada). From the results were predicted some of the relations between structure and activity. Virtual library of the...
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".