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Analyzing diverse data types can accelerate drug discovery, study says

10.24.22 | University of Colorado Anschutz Medical Campus

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A new paper in Cell Systems explores the importance of using multiple data types in drug discovery. The paper screens over 1,000 drugs tested in six doses and demonstrates that gene expression and cell morphology provide different information for drug prioritization.

Led by biomedical data scientist Gregory Way, PhD, MS, the study showcases that by using these two data types simultaneously, scientists can measure fundamentally different aspects of the drug’s biology.

“We believe these two popular methods can be used to our advantage in designing drugs that address the full complexity of biology,” said Way, who is an assistant professor in biomedical informatics at the University of Colorado Anschutz Medical Campus .

Way and a team of data scientists found that the two data types provide a partially shared but also complementary view of drug mechanisms. They said using both approaches can advance drug discovery, functional genomics and precision medicine in unique directions.

“While labeling drugs based on mechanism of action is incredibly powerful, the approach risks missing a bigger picture. Both data types, collected via phenotypic drug screening, embrace the complexity of biology and can allow scientists to study and leverage the multifaceted effects drugs can offer,” Way adds.

Their paper shows how the assays compare with each other on useful biological tasks (e.g., mechanism of action prediction) given all the sources of variation/noise and current best practices in data processing. The phenotypic drug screening approach allows researchers to measure thousands of features of thousands of different drugs in a single experiment.

“We hope our analysis can guide researchers in experimental design and in understanding the limitations of their particular profiling modality to provide more consistent measurements and maximize potential for drug discovery successes,” Way said.

The paper, which was published today, guides scientists in planning experiments that profile cells for reversing disease phenotypes, quantifying cell response to chemical or genetic perturbation and querying drug mechanisms.

About the University of Colorado Anschutz Medical Campus

The University of Colorado Anschutz Medical Campus is a world-class medical destination at the forefront of transformative science, medicine, education and patient care. The campus encompasses the University of Colorado health professional schools, more than 60 centers and institutes, and two nationally ranked independent hospitals - UCHealth University of Colorado Hospital and Children's Hospital Colorado - that treat more than two million adult and pediatric patients each year. Innovative, interconnected and highly collaborative, the University of Colorado Anschutz Medical Campus delivers life-changing treatments, patient care and professional training and conducts world-renowned research fueled by over $650 million in research grants. For more information, visit www.cuanschutz.edu .

Cell Systems

Morphology and gene expression profiling provide complementary information for mapping cell state

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Contact Information

Julia Milzer
University of Colorado Anschutz Medical Campus
julia.milzer@ucdenver.edu

How to Cite This Article

APA:
University of Colorado Anschutz Medical Campus. (2022, October 24). Analyzing diverse data types can accelerate drug discovery, study says. Brightsurf News. https://www.brightsurf.com/news/1ZZ5R4N1/analyzing-diverse-data-types-can-accelerate-drug-discovery-study-says.html
MLA:
"Analyzing diverse data types can accelerate drug discovery, study says." Brightsurf News, Oct. 24 2022, https://www.brightsurf.com/news/1ZZ5R4N1/analyzing-diverse-data-types-can-accelerate-drug-discovery-study-says.html.