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BMC Bioinformatics|December 8, 2016
ConEVA: a toolbox for comprehensive assessment of protein contactsBadri Adhikari, Jackson Nowotny, Debswapna Bhattacharya, et al.
International Journal of Molecular Sciences|July 23, 2015
An Overview of Practical Applications of Protein Disorder Prediction and Drive for Faster, More Accurate PredictionsXin Deng, Jordan Gumm, Suman Karki, et al.
Scientific Reports|January 16, 2026
Dual path fairness optimization for graph neural network based recommendationChengyong Yang, Kefan Lu, Jinle He, et al.
Arxiv|June 3, 2024
Deep Learning for Protein-Ligand Docking: Are We There Yet?Alex Morehead, Nabin Giri, Jian Liu, et al.
Bioinformatics (Oxford, England)|May 7, 2021
Improving deep learning-based protein distance prediction in CASP14Zhiye Guo, Tianqi Wu, Jian Liu, et al.
Statistical Applications in Genetics and Molecular Biology|March 2, 2016
What if we ignore the random effects when analyzing RNA-seq data in a multifactor experimentShiqi Cui, Tieming Ji, Jilong Li, et al.
Proteins|April 8, 2025
Protein-Ligand Structure and Affinity Prediction in CASP16 Using a Geometric Deep Learning Ensemble and Flow MatchingAlex Morehead, Jian Liu, Pawan Neupane, et al.
Scientific Reports|June 24, 2021
MULTICOM2 open-source protein structure prediction system powered by deep learning and distance predictionTianqi Wu, Jian Liu, Zhiye Guo, et al.
Bioinformatics (Oxford, England)|January 20, 2026
Unavailability of experimental 3D structural data on protein folding dynamics and necessity for a new generation of structure prediction methods in this contextAydin Wells, Khalique Newaz, Jennifer Morones, et al.
BMC Bioinformatics|June 15, 2019
AutoCryoPicker: an unsupervised learning approach for fully automated single particle picking in Cryo-EM imagesAdil Al-Azzawi, Anes Ouadou, John J Tanner, et al.
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