Work

The clinical trials puzzle: How network effects limit drug discovery

Year: 2023

Type: article

Abstract: The depth of knowledge offered by post-genomic medicine has carried the promise of new drugs, and cures for multiple diseases. To explore the degree to which this capability has materialized, we extract meta-data from 356,403 clinical trials spanning four decades, aiming to offer mechanistic insights into the innovation practices in drug discovery. We find that convention dominates over innovation, as over 96% of the recorded trials focus on previously tested drug targets, and the tested drugs target only 12% of the human interactome. If current patterns persist, it would take 170 years to target all druggable proteins. We uncover two network-based fundamental mechanisms that currently limit target discovery: preferential attachment , leading to the repeated exploration of previously targeted proteins; and local network effects , limiting exploration to proteins interacting with highly explored proteins. We build on these insights to develop a quantitative network-based model to enhance drug discovery in clinical trials.

Source: iScience

DOI: 10.1016/j.isci.2023.108361

Authors: Kishore Vasan, Deisy Morselli Gysi, Albert-László Barabási