MOTIVATION
Pocket-conditioned molecular generation incorporates the three-dimensional geometry and chemical environment of protein binding sites into molecular design. However, receptor conformational variation can introduce distribution shifts between training and inference, particularly under cross-docking conditions...
AET5 is presented, a de novo molecular generation framework that conditions molecular design on disease-reversal gene expression profiles, providing a general framework for biologically informed drug design under noisy transcriptomic conditions.
Zhi-Kang Yuan, Xin Zhang, Gao-Ming Lin et al.· PLoS Computational Biology· 0 citations
INTRODUCTION
Experimental identification of anticancer peptides (ACPs) is timeconsuming and costly, which limits large-scale ACP discovery and screening. To address this challenge, we developed MDFA-MLP, a novel computational framework for ACP prediction that integrates multi-scale feature learning and ensemble classif...