Investigating Baxdrostat and Its Derivatives as Aldosterone Synthase Inhibitors for Resistant Hypertension: An <i>In Silico</i> Approach
Bibliographic record
Abstract
Abstract Resistant hypertension, a severe condition affecting about 10 % of people with high blood pressure, significantly increases the risk of heart, brain, and kidney issues. This study investigates the potential of baxdrostat and its derivatives ( 1 – 22 ) as aldosterone synthase inhibitors for resistant hypertension using in silico methods. The study employed various computational methods, including molecular dynamics simulation (MD), molecular docking, frontier molecular orbital (FMO) analysis, and global chemical descriptors, to evaluate the interactions between the compounds and the target proteins. The docking results showed that compounds 2 , 5 , 7 , and baxdrostat had binding affinities of −7.8 kcal/mol, −10.9 kcal/mol, −10.6 kcal/mol, and −9.3 kcal/mol, respectively. Additionally, molecular dynamics simulations revealed that ligands 2 , 5 , and baxdrostat formed the most stable protein‐ligand complexes with aldosterone synthase. The complex of the 4FDH‐baxdrostat remained highly stable across all tested temperatures (300 K, 305 K, 310 K, and 320 K), consistently displaying low RMSD values, with the minimum observed at 305 K. Baxdrostat emerges as the most promising candidate among the compounds examined, showcasing notable potential when considering a combination of in vitro, in vivo , and now in silico data. While baxdrostat remains the primary candidate based on comprehensive in vitro, in vivo , and in silico studies, further analysis using FMO theory suggests that ligands 2 and 5 have promising potential due to their smaller Egap. To validate these findings, further clinical investigations are warranted.
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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 | 0.001 |
| 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 | 0.000 |
| 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".