ADME analysis, metabolic prediction, and molecular docking of lipoic acid with SARS-CoV-2 Omicron spike protein
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Lipoic acid (ALA), also known as 1,2-dithiolane-3-pentanoic acid, is a natural antioxidant and a critical component of mitochondrial function, where it participates in several key enzymatic processes. This organosulfur compound is derived from both plant and animal sources and was initially studied as a potential substitute for acetate. This study aims to examine the parameters related to ADME, metabolic, and structural binding analyses. Furthermore, a molecular docking analysis was performed to explore how ALA interacts with the Omicron variant of SARS-CoV-2. The study revealed that ALA exhibited high gastrointestinal absorption (GI absorption) and a Log Kp (skin permeation) value of -6.37 cm/s. The compound showed compliance with drug-likeness rules, including Lipinski, Ghose, Veber, Egan, and Muegge criteria, but was flagged with a Brenk alert due to the disulfide bond. It demonstrated acute oral toxicity and eye irritation/corrosion, with chemical reactivity involving epoxidation of the oxygen double bond, quinonation, and N-dealkylation processes. In contrast, there was a strong conjugation reaction with UDP-glucuronosyltransferase (UGT) and moderate reactivity with glutathione (GSH), sulfur, and adjacent carbons. Protein interactions displayed medium reactivity, while DNA reactivity was moderate. Additionally, the compound showed limited reactions in unstable oxidation processes and other pathways but exhibited affinity for various enzymes and receptors, including cyclooxygenase-2 and acetylcholinesterase. Molecular docking revealed a predominance of conventional hydrogen bonding with an affinity of -4.4 kcal/mol. These findings suggest a promising pharmacological profile, warranting further investigation into its clinical effects and applications.
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.
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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it