Homology modeling – a step towards vaccine development by analyzing structure of haemophilus influenza protein, transcriptional regulator H10994
Bibliographic record
Abstract
Introduction: Haemophilus influenza is a type of bacterium that is non motile, gram negative and causes poisoning and infection including pneumonia,bronchitis etc. In order to study the resistivity of H.influenza protein, transcription regulator: HI0433, homology modeling is an important step to predict structure. Material and methods: Bioinformatics such as CMR, BLAST, modeller Prcheck and Prosa was carried out to find 3D structure of protein. Results and Discussion: H.influenza has 1792 proteins. Out of these, 456 hypothetical proteins were found. Homology modeling of transcriptional regulator H10994 was done it consists of 8 helices and 7 beta sheets. Ramachandran plot has shown that it consists of 95.2% particles in maximum allowed regions, 2.9 % particles in fewer allowed region, 1.4% particles in inadequate allowed region, 5% particles in disallowed region. Conclusion: By homology modeling of H. influenza, transcriptional regulator protein (HI0433), structure was designed which has provided enough information for vaccine development to control its transcription for causing disease.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.000 | 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".