IJCAI 20260 citations

Bridging the Biophysical Gap: Holistic Environmental Awareness for 3D Linker Design

Mengwei Sun, Chengwei Ai, Xiaoyi Liu, Shiqiang Ma, Qiaozhen Meng, Fei Guo

Abstract

3D molecular linker design is a critical task in structure-based drug discovery, which requires the precise synthesis of chemical bridges to connect fragments within the constrained environment of a protein binding pocket. Existing methods often suffer from environmental blindness, treating the inter-fragment space as a vacuum and yielding candidates with poor binding affinity or severe steric clashes. To address this, we propose LinkerBridge, an equivariant framework that unifies biochemical semantics with physical constraints through two innovations: a Contextual Interaction-Aware Representation module that internalizes pre-existing biochemical semantics, and a Differentiable Physical Guidance mechanism derived from Van der Waals potentials to steer generation away from collision zones. Extensive evaluations on ZINC, GEOM, and BindingMOAD benchmarks, as well as Hsp90 and JNK3 case studies, demonstrate that LinkerBridge significantly outperforms state-of-the-art methods in real-world drug discovery.

Machine Learning: ApplicationsMultidisciplinary Topics and Applications: BioinformaticsMultidisciplinary Topics and Applications: Health and medicine
BibTeX
@inproceedings{ijcai2026_bridgingthebioph,
  title = {Bridging the Biophysical Gap: Holistic Environmental Awareness for 3D Linker Design},
  author = {Mengwei Sun and Chengwei Ai and Xiaoyi Liu and Shiqiang Ma and Qiaozhen Meng and Fei Guo},
  booktitle = {IJCAI 2026},
  year = {2026}
}
Bridging the Biophysical Gap: Holistic Environmental Awareness for 3D Linker Design · IJCAI 2026