A meta learning and task adaptive approach for drug target affinity prediction

Abstract Accurate and robust prediction of drug-target affinity (DTA) plays a critical role in drug discovery. While deep learning has advanced DTA prediction, existing methods struggle with limited training data and poor generalization. In this study, we propose AdaMBind, a novel DTA prediction mod...

Full description

Bibliographic Details

Published in:	Nature Communications
Main Authors:	Mengxuan Wan, Yanpeng Zhao, Yixin Zhang, Huiyan Xu, Duoyun Yi, Peng Zan, Song He, Xiaochen Bo
Format:	Article
Language:	English
Published:	Nature Portfolio 2026-03-01
Online Access:	https://doi.org/10.1038/s41467-026-70554-5