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Bioinformatics (Oxford, England)|October 24, 2025
MPBind: a multitask protein binding site predictor using protein language models and equivariant GNNsYanli Wang, Frimpong Boadu, Jianlin ChengBioinformatics (Oxford, England)|June 5, 2026
A unified multimodal model for generalizable zero-shot and supervised protein function predictionFrimpong Boadu, Yanli Wang, Jianlin ChengBioinformatics Advances|September 5, 2024
Improving protein function prediction by learning and integrating representations of protein sequences and function labelsFrimpong Boadu, Jianlin ChengBiorxiv : the Preprint Server for Biology|January 30, 2023
Combining protein sequences and structures with transformers and equivariant graph neural networks to predict protein functionFrimpong Boadu, Hongyuan Cao, Jianlin ChengMethods in Molecular Biology (Clifton, N.J.)|July 2, 2025
TransFun: A Tool of Integrating Large Language Models, Transformers, and Equivariant Graph Neural Networks to Predict Protein FunctionFrimpong Boadu, Ahhyun Lee, Jianlin ChengProteomics|July 12, 2024
Deep learning methods for protein function predictionFrimpong Boadu, Ahhyun Lee, Jianlin ChengBioinformatics (Oxford, England)|June 30, 2023
Combining protein sequences and structures with transformers and equivariant graph neural networks to predict protein functionFrimpong Boadu, Hongyuan Cao, Jianlin ChengArxiv|May 4, 2026
LAFA: A Framework for Reproducible Longitudinal Assessment of Protein Function Annotation ModelsAn Phan, Yanli Wang, Frimpong Boadu, et al.Arxiv|June 9, 2022
Deep Learning Prediction of Severe Health Risks for Pediatric COVID-19 Patients with a Large Feature Set in 2021 BARDA Data ChallengeSajid Mahmud, Elham Soltanikazemi, Frimpong Boadu, et al.NAR Genomics and Bioinformatics|March 24, 2025
Reconstructing 3D chromosome structures from single-cell Hi-C data with SO(3)-equivariant graph neural networksYanli Wang, Jianlin ChengPageof 152