The Impact of Computational Drug Discovery on Society

Jianxin Wang, Min Li, Edwin Wang, Jing Tang, Bin Hu

Research output: Contribution to journalArticlepeer-review

Abstract

Network pharmacology and deep learning-based approaches have significantly advanced the field of drug discovery. With the improved prediction accuracy on drug targets, a logical next step would be the modeling of the complexity of human biology to understand the heterogeneity of drug response across individual patients and suggest novel treatment options for non responders. To ensure the successful translation of the computer-aided models into drug development and treatment decision-making, it is imperative to refine our models to predict drug-target interactions within specific disease contexts and ultimately to personalize these predictions for each patient.

Original languageEnglish
Pages (from-to)2148-2159
Number of pages12
JournalIEEE Transactions on Computational Social Systems
Volume10
Issue number5
DOIs
Publication statusPublished - 1 Oct 2023

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