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Biorxiv : 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 ChengBioinformatics (Oxford, England)|June 5, 2026
A unified multimodal model for generalizable zero-shot and supervised protein function predictionFrimpong Boadu, Yanli Wang, Jianlin ChengBMC Genomics|April 17, 2008
Protein disorder prediction at multiple levels of sensitivity and specificityJoshua Hecker, Jack Y Yang, Jianlin ChengProteins|November 13, 2008
Evaluating the absolute quality of a single protein model using structural features and support vector machinesZheng Wang, Allison N Tegge, Jianlin ChengIEEE Reviews in Biomedical Engineering|January 26, 2012
Machine learning methods for protein structure predictionJianlin Cheng, Allison N Tegge, Pierre BaldiCurrent Opinion in Structural Biology|February 11, 2023
Deep learning for reconstructing protein structures from cryo-EM density maps: Recent advances and future directionsNabin Giri, Raj S Roy, Jianlin ChengPageof 30