MAATrica: a measure for assessing consistency and methods in medicinal and nutraceutical chemistry papers.

The growing number of scientific papers and document sources underscores the need for methods capable of evaluating the quality of publications. Researchers who are looking for relevant papers for their studies need ways to assess the scientific value of these documents. One approach involves using semantic search engines that can automatically extract important knowledge from the growing body of text. In this study, we introduce a new metric called "MAATrica," which serves as the foundation for an innovative method designed to evaluate research papers. MAATrica offers a new way to analyze and categorize text, focusing on the consistency of research documents in the life sciences, particularly in the fields of medicinal and nutraceutical chemistry. This method utilizes semantic descriptions to cover in silico experiments, as well as in vitro and in vivo essays. Created to aid in evaluation processes like peer review, MAATrica uses toolkits and semantic applications to build the proposed measure, identify scientific entities, and gather information. We have applied MAATrica to roughly 90,000 papers and present our findings here.

Acceptance criteria for new approach methods in toxicology and human health-relevant life science research - part I.

Every test procedure, scientific and non-scientific, has inherent uncertainties, even when performed according to a standard operating procedure (SOP). In addition, it is prone to errors, defects, and mistakes introduced by operators, laboratory equipment, or materials used. Adherence to an SOP and comprehensive validation of the test method cannot guarantee that each test run produces data within the acceptable range of variability and with the precision and accuracy determined during the method validation. We illustrate here (part I) why controlling the validity of each test run is an important element of experimental design. The definition and application of acceptance criteria (AC) for the validity of test runs is important for the setup and use of test methods, particularly for the use of new approach methods (NAM) in toxicity testing. AC can be used for decision rules on how to handle data, e.g., to accept the data for further use (AC fulfilled) or to reject the data (AC not fulfilled). The adherence to AC has important requirements and consequences that may seem surprising at first sight: (i) AC depend on a test method's objectives, e.g., on the types/concentrations of chemicals tested, the regulatory context, the desired throughput; (ii) AC are applied and documented at each test run, while validation of a method (including the definition of AC) is only performed once; (iii) if AC are altered, then the set of data produced by a method can change. AC, if missing, are the blind spot of quality assurance: Test results may not be reliable and comparable. The establishment and uses of AC will be further detailed in part II of this series.

Identification of SET/EED dual binders as innovative PRC2 inhibitors.

Background: The inhibition of PRC2, implicated in the pathogenesis of several tumors, can be a useful therapeutic strategy for cancer treatment. In the literature, two types of PRC2 modulators are reported: competitive inhibitors of S-adenosyl methionine binding to the catalytic subunit EZH2; and allosteric ligands that prevent the interaction of the trimethylated H3K27 lysine in histone 3 to the EED subunit. The lack of dual EZH2/EED modulators drove us to search for compounds capable of recognizing both domains. Materials & methods: This goal was pursued by combining pharmacophore- and docking-based virtual screening of the Multi-Target Ligand Chemotheca database. Prediction tools for absorption, distribution, metabolism and excretion and pan-assay interference compounds were also applied. Results: Finally, five 1,2,3-triazole derivatives were identified as promising dual EZH2/EED modulators. Conclusion: Our multistage screening protocol highlighted the great potential of Chemotheca for identifying polypharmacological agents.