Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networks. - Jack Hanson; Yuedong Yang; Kuldip K. Paliwal; Yaoqi Zhou (Bioinform., 2017)

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)

Accurate prediction of protein contact maps by coupling residual two-dimensional bidirectional long short-term memory with convolutional neural networks. - Jack Hanson; Kuldip K. Paliwal; Thomas Litfin; Yuedong Yang; Yaoqi Zhou (Bioinform., 2018)

Accurate Single-Sequence Prediction of Protein Intrinsic Disorder by an Ensemble of Deep Recurrent and Convolutional Architectures. - Jack Hanson; Kuldip K. Paliwal; Yaoqi Zhou (J. Chem. Inf. Model., 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)

Improving prediction of protein secondary structure, backbone angles, solvent accessibility and contact numbers by using predicted contact maps and an ensemble of recurrent and residual convolutional neural networks. - Jack Hanson; Kuldip K. Paliwal; Thomas Litfin; Yuedong Yang; Yaoqi Zhou (Bioinform., 2019)

SPOT-Disorder2: Improved Protein Intrinsic Disorder Prediction by Ensembled Deep Learning. - Jack Hanson; Kuldip K. Paliwal; Thomas Litfin; Yaoqi Zhou (Genom. Proteom. Bioinform., 2019)

Identifying molecular recognition features in intrinsically disordered regions of proteins by transfer learning. - Jack Hanson; Thomas Litfin; Kuldip K. Paliwal; Yaoqi Zhou (Bioinform., 2020)

Getting to Know Your Neighbor: Protein Structure Prediction Comes of Age with Contextual Machine Learning. - Jack Hanson; Kuldip K. Paliwal; Thomas Litfin; Yuedong Yang; Yaoqi Zhou (J. Comput. Biol., 2020)

SPOT-Fold: Fragment-Free Protein Structure Prediction Guided by Predicted Backbone Structure and Contact Map. - Yufeng Cai; Xiongjun Li; Zhe Sun; Yutong Lu; Huiying Zhao; Jack Hanson; Kuldip K. Paliwal; Thomas Litfin; Yaoqi Zhou; Yuedong Yang (J. Comput. Chem., 2020)

Design of a Serious Game for Safety in Manufacturing Industry Using Hybrid Simulation Modelling: Towards Eliciting Risk Preferences. - Hanane El Raoui; John Quigley; Ayse Aslan; Gokula Vasantha; Jack Hanson; Jonathan R. Corney; Andrew Sherlock (WSC, 2023)

Using Worker Position Data for Human-Driven Decision Support in Labour-Intensive Manufacturing. - Ayse Aslan; Hanane El Raoui; Jack Hanson; Gokula Vasantha; John Quigley; Jonathan R. Corney; Andrew Sherlock (Sensors, 2023)

CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins. - Alessio Del Conte; Adel Bouhraoua; Mahta Mehdiabadi; Damiano Clementel; Alexander Miguel Monzon; Alex S. Holehouse; Daniel A. Griffith; Ryan J. Emenecker; Ashwini Patil; Ronesh Sharma; Tatsuhiko Tsunoda; Alok Sharma; et al. (Nucleic Acids Res., 2023)

Smarter facility layout design: leveraging worker localisation data to minimise travel time and alleviate congestion. - Ayse Aslan; Gokula Vasantha; Hanane El Raoui; John Quigley; Jack Hanson; Jonathan R. Corney; Andrew Sherlock (Int. J. Prod. Res., 2025)