Rhys Heffernan

According to our database, Rhys Heffernan authored at least 7 papers between 2014 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2018

Detecting Proline and Non-Proline Cis Isomers in Protein Structures from Sequences Using Deep Residual Ensemble Learning.

Jaswinder Singh, Jack Hanson, Rhys Heffernan, Kuldip K. Paliwal, Yuedong Yang, Yaoqi Zhou

J. Chem. Inf. Model., 2018

Single-sequence-based prediction of protein secondary structures and solvent accessibility by deep whole-sequence learning.

Rhys Heffernan, Kuldip K. Paliwal, James G. Lyons, Jaswinder Singh, Yuedong Yang, Yaoqi Zhou

J. Comput. Chem., 2018

Sixty-five years of the long march in protein secondary structure prediction: the final stretch?

Yuedong Yang, Jianzhao Gao, Jihua Wang, Rhys Heffernan, Jack Hanson, Kuldip K. Paliwal, Yaoqi Zhou

Briefings Bioinform., 2018

2017

Capturing non-local interactions by long short-term memory bidirectional recurrent neural networks for improving prediction of protein secondary structure, backbone angles, contact numbers and solvent accessibility.

Rhys Heffernan, Yuedong Yang, Kuldip K. Paliwal, Yaoqi Zhou

Bioinform., 2017

2016

Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins.

Rhys Heffernan, Abdollah Dehzangi, James G. Lyons, Kuldip K. Paliwal, Alok Sharma, Jihua Wang, Abdul Sattar, Yaoqi Zhou, Yuedong Yang

Bioinform., 2016

2015

Gram-positive and gram-negative subcellular localization using rotation forest and physicochemical-based features.

Abdollah Dehzangi, Sohrab Sohrabi, Rhys Heffernan, Alok Sharma, James G. Lyons, Kuldip K. Paliwal, Abdul Sattar

BMC Bioinform., 2015

2014

Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network.

James G. Lyons, Abdollah Dehzangi, Rhys Heffernan, Alok Sharma, Kuldip K. Paliwal, Abdul Sattar, Yaoqi Zhou, Yuedong Yang

J. Comput. Chem., 2014