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Molecular Biosystems|August 30, 2011
A comprehensive overview of computational protein disorder prediction methodsXin Deng, Jesse Eickholt, Jianlin ChengBMC Bioinformatics|February 3, 2011
DoBo: Protein domain boundary prediction by integrating evolutionary signals and machine learningJesse Eickholt, Xin Deng, Jianlin ChengBMC Bioinformatics|December 23, 2009
PreDisorder: ab initio sequence-based prediction of protein disordered regionsXin Deng, Jesse Eickholt, Jianlin ChengJournal of Bioinformatics and Computational Biology|July 20, 2012
Recursive protein modeling: a divide and conquer strategy for Protein Structure Prediction and its case study in CASP9Jianlin Cheng, Jesse Eickholt, Zheng Wang, et al.BMC Structural Biology|February 28, 2013
Designing and benchmarking the MULTICOM protein structure prediction systemJilong Li, Xin Deng, Jesse Eickholt, 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.BMC Bioinformatics|May 2, 2012
The MULTICOM toolbox for protein structure predictionJianlin Cheng, Jilong Li, Zheng Wang, et al.BMC Bioinformatics|March 19, 2013
DNdisorder: predicting protein disorder using boosting and deep networksJesse Eickholt, Jianlin ChengBioinformatics (Oxford, England)|October 11, 2012
Predicting protein residue-residue contacts using deep networks and boostingJesse Eickholt, Jianlin ChengBMC Bioinformatics|November 26, 2013
A study and benchmark of DNcon: a method for protein residue-residue contact prediction using deep networksJesse Eickholt, Jianlin ChengPageof 133