VarDCL: A Multimodal PLM-Enhanced Framework for Missense Variant Effect Prediction via Self-distilled Contrastive Learning
Huiling Zhang, Ganzhang Zheng, Ziqi Xu, Haowen Zhao, Shaozhen Cai, Yuxiang Huang, Zihan Zhou, Yanjie Wei
VarDCL predicts pathogenic missense variants by integrating multimodal protein language model embeddings and self-distilled contrastive learning, achieving high performance on clinical variants.
bioRxiv · Mar 17, 2026 · PreprintBioinformatics