The algorithm for cross-evaluation (ACE) of biologically active compounds
Related Experiment Video
Updated: Oct 19, 2026

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
Published on: December 1, 2020
1Loma Linda University, Laboratory of Chemical Endocrinology, CA 92350, USA.
Abstract:
A non-linear algorithm, ACE (Algorithm for Cross-Evaluation), was developed to correlate the activity of anti-cancer drugs against human cell lines. ACE evaluates the relationships among compounds and cell lines and displays the resulting clusters on a 3-D surface plot. This plot along with a frequency plot and rank graph provides clear information regarding the sensitivity of groups of cell lines to particular compounds. The program was tested on published anti-cancer data sets and found associations useful in the selection and design of chemotherapy drugs for pre-clinical trials. ACE may be applied to other situations where details of groupings and relationships need to be extracted from large sets of data.
More Related Videos
Related Concept Videos
Structure-Activity Relationships and Drug Design
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence its...
Measurement of Bioavailability: Pharmacodynamic Methods
Agonism and Antagonism: Quantification
To quantify these effects, researchers use a dose-response curve, which provides valuable information about the potency and efficacy of a drug. Potency refers to...
Bioequivalence of Drugs: Drugs with Multiple Indications

