Hydrobiological Aspects of Fatty Acids: Unique, Rare, and Unusual Fatty Acids Incorporated into Linear and Cyclic Lipopeptides and Their Biological Activity
Bibliographic record
Abstract
The study of lipopeptides and their related compounds produced by various living organisms from bacteria to marine invertebrates is of fundamental interest for medicinal chemistry, pharmacology, and practical clinical medicine. Using the principles of retrosynthetic analysis of linear and cyclic peptides, the pharmacological activity of unique, unusual, and rare fatty acids (FA) that are part of natural lipopeptides was investigated. To search for new biologically active natural metabolites from natural sources, more than 350 FA incorporated into linear and cyclic peptides isolated from bacteria, cyanobacteria, microalgae, marine invertebrates, fungal endophytes, and microorganisms isolated from sediments are presented. Biological activities have been studied experimentally in various laboratories, as well as data obtained using QSAR (Quantitative Structure-Activity Relationships) algorithms. According to the data obtained, several FA were identified that demonstrated strong antibacterial, antimicrobial, antifungal, or antitumor activity. Along with this, FA have been found that have shown rare properties such as antiviral, antidiabetic, anti-helmintic, anti-inflammatory, anti-psoriatic, anti-ischemic, and anti-infective activities. In addition, FA have been found as potential regulators of lipid metabolism, as well as agents for the treatment of acute neurological disorders, as well as in the treatment of atherosclerosis and multiple sclerosis. For 36 FA, 3D graphs are presented, which demonstrate their predicted and calculated activities.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.002 |
| 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".