Mallotus Mollissimus and Solanum Erianthum Exhibit Antikinase, Antiphosphatase and Anti-Cancer Properties
Bibliographic record
Abstract
Cancer is a leading cause of death worldwide and caused by dysregulated signal transduction from kinase and phosphatases. Inhibitors of kinase and phosphatase have demonstrated anticancer properties. Therefore, this study aimed to investigate the antikinase, antiphosphatase and cytotoxic properties of Mallotus mollissimus (M. mollissimus) and Solanum erianthum (S. erianthum). Toxic activities against PP1, MKK1 and MSG5 assays were demonstrated by S. erianthum methanol extract. Bioassay-guided fractionation of the methanolic extracts showed that chloroform fraction (CE) of M. mollissimus exhibited toxic activity against PP1. Meanwhile, CE of S. erianthum showed positive activity on PP1 assay. Column chromatography separation of the CE has revealed that fractions F1 and F2 of M. mollissimus are toxic against PP1. Meanwhile, F1 and F2 CE fractions of S. erianthum were positive against PP1 and F9 fraction showed toxic activity in PP1 assay. Chloroform extracts of both plants exhibit cytotoxicity activity against HeLa, CaOV3 and MCF7 cell lines. This study demonstrated the potential of M. mollissimus and S. erianthum extracts in antikinase, antiphosphatase and anti-cancer activities which warrant further purification and identification.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".