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Record W7135615744

Design, synthesis and biological evaluation of 2,3-disubstituted pyrazines

2020· dissertation· cs· W7135615744 on OpenAlexaboutno aff
Marek Kerda

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2020
Typedissertation
Languagecs
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer and biochemical research
Canadian institutionsnot available
Fundersnot available
KeywordsVirtual screeningIn silicoDocking (animal)PharmacyCheminformaticsEnzyme inhibition
DOInot available

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.033
GPT teacher head0.307
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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