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Scientific 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 ChengWorkshop on Machine Learning in HPC Environments. Workshop on Machine Learning in HPC Environments|February 3, 2022
High-Performance Deep Learning Toolbox for Genome-Scale Prediction of Protein Structure and FunctionMu Gao, Peik Lund-Andersen, Alex Morehead, et al.BMC 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 ChengBriefings in Functional Genomics|October 18, 2015
An overview of bioinformatics methods for modeling biological pathways in yeastJie Hou, Lipi Acharya, Dongxiao Zhu, et al.Biorxiv : the Preprint Server for Biology|November 14, 2023
CryoTransformer: A Transformer Model for Picking Protein Particles from Cryo-EM MicrographsAshwin Dhakal, Rajan Gyawali, Liguo Wang, et al.Scientific Data|June 22, 2023
A large expert-curated cryo-EM image dataset for machine learning protein particle pickingAshwin Dhakal, Rajan Gyawali, Liguo Wang, et al.Pageof 30