DFT and molecular docking study of a benzastatin alkaloids: Reactivity, cyclization mechanism, and antimalarial potential against plasmodium falciparum
Bibliographic record
Abstract
This study examines the reactivity of an intramolecular cyclization process involving benzastatin, a molecule derived from Streptomyces nitrosporeus, using density functional theory (DFT) with the B3LYP functional and the 6-311G(d,p) basis set. Parr indices, calculated by natural bond orbital (NBO) analysis, provide insight into the reactivity and chemical behavior of the system. In addition, the electron localization function (ELF) is used to analyze bond formation during the process. A molecular docking study highlights the pharmacological potential of benzastatin-derived alkaloids against Plasmodium falciparum, the malaria parasite, by targeting the key enzymes falcipain-2 and falcipain-3. The study elucidates the key interactions and binding affinities between the reaction products involved and these enzymes, supported by molecular dynamics simulations to study the stability of the ligand-protein complex over 50 ns. ADMET predictions suggest favorable pharmacokinetic profiles and low toxicity for the compounds, underlining their potential as antimalarial drug candidates.
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 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 | 0.000 |
| 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".