Publications by authors named "Peter F Thadeio"
Article Synopsis
- The study addresses the importance of diversity in clinical trials (CTs) to improve health equity and ensure that findings are applicable to diverse populations.
- An advisory board of experts was formed to create a framework for setting enrollment goals that incorporates data from various sources, including the US Census and real-world data.
- The resulting framework aims to establish transparent, reproducible enrollment goals while highlighting ethical considerations and addressing limitations related to underrepresented groups in medical research.
The high failure rate of experimental medicines in clinical trials accentuates inefficiencies of current drug discovery processes caused by a lack of tools for translating the information exchange between protein and organ system networks. Recently, we reported that biological activity spectra (biospectra), derived from in vitro protein binding assays, provide a mechanism for assessing a molecule's capacity to modulate the function of protein-network components. Herein we describe the translation of adverse effect data derived from 1,045 prescription drug labels into effect spectra and show their utility for diagnosing drug-induced effects of medicines.
View Article and Find Full Text PDFEstablishing quantitative relationships between molecular structure and broad biological effects has been a long-standing goal in drug discovery. Evaluation of the capacity of molecules to modulate protein functions is a prerequisite for understanding the relationship between molecular structure and in vivo biological response. A particular challenge in these investigations is to derive quantitative measurements of a molecule's functional activity pattern across different proteins.
View Article and Find Full Text PDFBiological spectra analysis: Linking biological activity profiles to molecular structure.
Proc Natl Acad Sci U S A
January 2005
Article Synopsis
- Establishing a link between molecular structure and its biological effects has been a significant challenge, as there’s currently no effective method to predict the biological activity of similar medicinal agents based solely on their structures.
- The study utilized a database of 1,567 compounds to show that assessing percent inhibition from various in vitro assays can provide precise descriptors of molecular properties, allowing for the classification of organic molecules based on biological activity spectra.
- The innovative approach called biological spectra analysis enables sorting of compounds without needing prior knowledge of their specific targets, and successfully predicts how new molecules may interact with multiple proteins by analyzing spectra similarities.