Bibliographic record
Abstract
Bioanalysis is a subdivision of analytical chemistry and deals with biological analytes such as metabolites, proteins, nucleic acids, small molecules, virus particles and entire cells. The rationale of my thesis was to achieve two goals: (i) develop a set of ready to use methods (ii) which are capable providing exact concentrations of analytes as well as kinetic and thermodynamic parameters of their interactions. To investigate interactions between biomolecules special conditions are required which do not interfere with the course if biomolecule interactions. Establishing these conditions and optimization of separation and detection parameters can be tedious and can take longer than actual analysis of samples. I developed a variety of Capillary Electrophoresis – Mass Spectrometry (CE-MS) methods suitable for bionalalysis. CE-MS establishes a new paradigm that separation methods together with MS detection can be used as comprehensive kinetic tools. Most previous attempts to use chromatography and electrophoresis for studying nucleic acid interactions were restricted to assuming slow or no equilibrium between reactants. Kinetic CE (KCE) shows that non-zero kinetics and structural dynamics must be taken into account when separation happens. KCE-MS could be a valuable supplement to IM-MS due to the separation of ions in solution according to their size-to-charge ratio. These methods allowed to reveal new facts about biomolecules and added novel data to the bank of the mankind knowledge. For the best of my knowledge, kinetic parameters for TG2 and thrombin G-quadruplex folding were reported for the first time. I developed a homogeneous method to determine kon, koff and Kd of fast and weak noncovalent interactions between multiple unlabeled ligands (small molecule drugs) and an oligosaccharide (α- or β-cyclodextrin) simultaneously in one capillary microreactor. It has been shown for the first time that KCE can be used to separate and detect the slowly interconverting open and closed conformations of human TG2. It allowed the first direct measurement of the Kd value for calcium binding. Sixteen new substrates were discovered for three aminotransferases (AAT, BCAT, and DAAT). In addition, Viral qCE showed a feasibility to analyse both the count of intact viral particles and sample nucleic acid contamination.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.015 | 0.024 |
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".