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Bioinformatics (Oxford, England)|July 15, 2025
FlowDock: Geometric flow matching for generative protein-ligand docking and affinity predictionAlex Morehead, Jianlin ChengResearch Square|February 27, 2026
ETSAM: Effectively Segmenting Cell Membranes in cryo-Electron TomogramsJianlin Cheng, Joel SelvarajBioinformatics (Oxford, England)|March 26, 2026
GRNFormer: Accurate Gene Regulatory Network Inference Using Graph TransformerAkshata Hegde, Jianlin ChengBMC Bioinformatics|November 16, 2017
ClusterTAD: an unsupervised machine learning approach to detecting topologically associated domains of chromosomes from Hi-C dataOluwatosin Oluwadare, Jianlin ChengScientific Reports|November 7, 2015
De novo protein conformational sampling using a probabilistic graphical modelDebswapna Bhattacharya, Jianlin ChengScientific Reports|April 24, 2021
VEHiCLE: a Variationally Encoded Hi-C Loss Enhancement algorithm for improving and generating Hi-C dataMax Highsmith, Jianlin ChengBMC Bioinformatics|December 16, 2011
MSACompro: protein multiple sequence alignment using predicted secondary structure, solvent accessibility, and residue-residue contactsXin Deng, Jianlin ChengBMC Bioinformatics|March 19, 2013
DNdisorder: predicting protein disorder using boosting and deep networksJesse Eickholt, Jianlin ChengScientific Reports|May 11, 2016
A Stochastic Point Cloud Sampling Method for Multi-Template Protein Comparative ModelingJilong Li, Jianlin ChengBiomolecules|January 21, 2023
Improving Protein-Ligand Interaction Modeling with cryo-EM Data, Templates, and Deep Learning in 2021 Ligand Model ChallengeNabin Giri, Jianlin ChengPageof 54