2023 article

Evolutionary druggability: leveraging low-dimensional fitness landscapes towards new metrics for antimicrobial applications

Guerrero, R. F., Dorji, T., Harris, R. M. M., Shoulders, M. D., & Ogbunugafor, C. B. (2023, April 8).

By: R. Guerrero n , T. Dorji*, R. Harris *, M. Shoulders* & C. Ogbunugafor *

TL;DR: This framework can be applied to other datasets and pathogen-drug systems to understand which pathogen variants in a clinical setting are the most concerning (low variant vulnerability), and which drugs in a panel are most likely to be effective in an infection defined by standing genetic variation in the pathogen drug target (high drug applicability). (via Semantic Scholar)
Source: ORCID
Added: April 9, 2023

The term "druggability" describes the molecular properties of drugs or targets in pharmacological interventions and is commonly used in work involving drug development for clinical applications. There are no current analogues for this notion that quantify the drug-target interaction with respect to a given target variant's sensitivity across a breadth of drugs in a panel, or a given drug's range of effectiveness across alleles of a target protein. Using data from low-dimensional empirical fitness landscapes composed of 16