Predicting protein residue–residue contacts using deep networks and boosting

Por Eickholt, Jesse, Cheng, Jianlin
Publicado em 2012

DNdisorder: predicting protein disorder using boosting and deep networks

Por Eickholt, Jesse, Cheng, Jianlin
Publicado em 2013

A study and benchmark of DNcon: a method for protein residue-residue contact prediction using deep networks

Por Eickholt, Jesse, Cheng, Jianlin
Publicado em 2013

PCP-ML: Protein characterization package for machine learning

Por Eickholt, Jesse, Wang, Zheng
Publicado no BMC Res Notes (2014)

PreDisorder: ab initio sequence-based prediction of protein disordered regions

Por Eickholt Jesse, Deng Xin, Cheng Jianlin
Publicado em 2009-12-01

DoBo: Protein domain boundary prediction by integrating evolutionary signals and machine learning

Por Deng Xin, Eickholt Jesse, Cheng Jianlin
Publicado em 2011-02-01

MULTICOM: a multi-level combination approach to protein structure prediction and its assessments in CASP8

Por Wang, Zheng, Eickholt, Jesse, Cheng, Jianlin
Publicado em 2010

DoBo: Protein domain boundary prediction by integrating evolutionary signals and machine learning

Por Eickholt, Jesse, Deng, Xin, Cheng, Jianlin
Publicado em 2011

PreDisorder: ab initio sequence-based prediction of protein disordered regions

Por Deng, Xin, Eickholt, Jesse, Cheng, Jianlin
Publicado em 2009

APOLLO: a quality assessment service for single and multiple protein models

Por Wang, Zheng, Eickholt, Jesse, Cheng, Jianlin
Publicado em 2011

A conformation ensemble approach to protein residue-residue contact

Por Eickholt, Jesse, Wang, Zheng, Cheng, Jianlin
Publicado em 2011

A comprehensive overview of computational protein disorder prediction methods()

Por Deng, Xin, Eickholt, Jesse, Cheng, Jianlin
Publicado em 2011

A Deep Learning Network Approach to ab initio Protein Secondary Structure Prediction

Por Spencer, Matt, Eickholt, Jesse, Cheng, Jianlin
Publicado no IEEE/ACM Trans Comput Biol Bioinform (2014)

Designing and benchmarking the MULTICOM protein structure prediction system

Por Li, Jilong, Deng, Xin, Eickholt, Jesse, Cheng, Jianlin
Publicado em 2013

RECURSIVE PROTEIN MODELING: A DIVIDE AND CONQUER STRATEGY FOR PROTEIN STRUCTURE PREDICTION AND ITS CASE STUDY IN CASP9

Por CHENG, JIANLIN, EICKHOLT, JESSE, WANG, ZHENG, DENG, XIN
Publicado em 2012

Improving Protein Fold Recognition by Deep Learning Networks

Por Jo, Taeho, Hou, Jie, Eickholt, Jesse, Cheng, Jianlin
Publicado no Sci Rep (2015)

Benchmarking Deep Networks for Predicting Residue-Specific Quality of Individual Protein Models in CASP11

Por Liu, Tong, Wang, Yiheng, Eickholt, Jesse, Wang, Zheng
Publicado no Sci Rep (2016)

NNcon: improved protein contact map prediction using 2D-recursive neural networks

Por Tegge, Allison N., Wang, Zheng, Eickholt, Jesse, Cheng, Jianlin
Publicado em 2009

The MULTICOM toolbox for protein structure prediction

Por Cheng, Jianlin, Li, Jilong, Wang, Zheng, Eickholt, Jesse, Deng, Xin
Publicado em 2012

An Overview of Practical Applications of Protein Disorder Prediction and Drive for Faster, More Accurate Predictions

Por Deng, Xin, Gumm, Jordan, Karki, Suman, Eickholt, Jesse, Cheng, Jianlin
Publicado no Int J Mol Sci (2015)