Membrane-Based Micro-Volume Dialysis Method for Rapid and High-Throughput Protein Crystallization
Bibliographic record
Abstract
Protein crystallization techniques are very important in drug development. This paper discusses a membrane-based micro-volume dialysis method suitable for rapid and high-throughput protein crystallization. A droplet of protein solution was deposited on the membrane surface in a micro-volume dialysis device. Crystallizing agents could be added to the protein solution either directly or through the membrane. The crystallization process could easily be monitored in real time under a microscope. Tiny specks, indicative of forming crystals, were observed as early as 30 s from the start of the experiment, and these were clearly distinguishable as tetragonal lysozyme crystals within 2 min. This method is particularly suitable for carrying out screening and optimization experiments, and for studying crystallization kinetics. The easy and direct manner in which protein and crystallizing agents are introduced into the device makes this method amenable to miniaturization and automation. Additionally, this approach would potentially allow for rapid screening of the effects of drug molecules on the crystallization process and the nature of crystal formation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| 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) | 0.000 | 0.000 |
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 teacher head, 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".