Cross-species absorption, metabolism, distribution and pharmacokinetics of BI 201335, a potent HCV genotype 1 NS3/4A protease inhibitor
Bibliographic record
Abstract
The present study describes the cross-species absorption, metabolism, distribution and pharmacokinetics of BI 201335, a potent HCV protease inhibitor currently in phase III clinical trials. BI 201335 showed a good Caco-II permeability (8.7 × 10(-6) cm/sec) and in vitro metabolic stability (predicted hepatic clearence (CL(hep)) <19% Q(h) in all species tested). Single dose PK revealed a clearance of 17, 3.0 and 2.6 mL/min/kg in rat, monkey and dog respectively, with a corresponding oral bioavailability of 29.1, 25.5 and 35.6%. Comparative plasma and liver PK profile in rodents showed a high liver Kp in the rat (42-fold), suggesting high target tissue distribution. Simple allometry based on animal PK predicted a human oral CL/F of 168 mL/min, within two-fold of the observed value (118 mL/min) at 240 mg in healthy volunteers. Allometry of volume of distribution generated a low exponent of 0.59, and a much lower predicted Vss/F (5-fold less than observed). Several different approaches of Vss/F prediction were evaluated and compared with the value observed in human. The averaged Vss/F from preclinical animals provides the best estimation of the observed human value (169 L vs. 175 L). Corresponding human "effective" t(1/2) values were also compared. The predicted human t(1/2) based on the CL from allometry with metabolic corrections and the averaged animal Vss represented the best estimation of the clinical data (12.1 vs. 17.2 hr). The present study demonstrated that the good preclinical ADMEPK profile of BI 201335 is consistent with that observed in the clinic. While preclinical data accurately predicted the human CL, the prediction of human Vss seems to be more challenging. The averaged Vss/F from all tested preclinical animals provided the best prediction of human Vss and the resulting "effective" t(1/2).
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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 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".