University of 91Ö±²¥ AI Research recognised in Nature Machine Intelligence reusability report

The team have had their recent work on the bilinear attention model for predicting drug-target interactions recognised in a reusability report published by Nature Machine Intelligence.

Graphic depicting drug screenings

A University of 91Ö±²¥ research team (Peizhen Bai, Filip Miljković, Bino John & Haiping Lu) have had their  recognised in a

This report is part of a selective series that has included only twelve articles since its inception in 2020, highlighting the featured research's robustness, extendability, and reusability. 

Their model has shown adaptability to new domains, such as predicting cell line-drug responses and mutation–drug associations, which underscores its potential in advancing healthcare solutions.

Find out more:

Reusability Report: 
Editorial: 
 

Centres of excellence

The University's cross-faculty research centres harness our interdisciplinary expertise to solve the world's most pressing challenges.

Centres of excellence