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EURASIP Journal on Bioinformatics & Systems Biology|February 15, 2017
Exploring soybean metabolic pathways based on probabilistic graphical model and knowledge-based methodsJie Hou, Gary Stacey, 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 ChengJournal of Proteomics & Bioinformatics|January 12, 2016
Predicting Protein Model Quality from Sequence Alignments by Support Vector MachinesXin Deng, Jilong Li, Jianlin ChengBioinformatics (Oxford, England)|December 12, 2017
DeepSF: deep convolutional neural network for mapping protein sequences to foldsJie Hou, Badri Adhikari, Jianlin ChengBiorxiv : the Preprint Server for Biology|July 15, 2025
Boosting AlphaFold Protein Tertiary Structure Prediction through MSA Engineering and Extensive Model Sampling and Ranking in CASP16Jian Liu, Pawan Neupane, Jianlin ChengBiorxiv : the Preprint Server for Biology|July 9, 2025
Multimodal deep learning integration of cryo-EM and AlphaFold3 for high-accuracy protein structure determinationRajan Gyawali, Ashwin Dhakal, Jianlin ChengMethods in Molecular Biology (Clifton, N.J.)|July 29, 2025
A Survey of Deep Learning Methods and Tools for Protein Binding Site PredictionAlina Rohulia, Yanli Wang, Jianlin ChengProteins|June 2, 2025
Improving AlphaFold2- and AlphaFold3-Based Protein Complex Structure Prediction With MULTICOM4 in CASP16Jian Liu, Pawan Neupane, Jianlin ChengScientific Data|May 6, 2024
Cryo2StructData: A Large Labeled Cryo-EM Density Map Dataset for AI-based Modeling of Protein StructuresNabin Giri, Liguo Wang, Jianlin ChengPageof 54