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ORCIDJack Hanson
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2020 – today
- 2023
[j12]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, Yi Jun Tang, Bin Liu, Claudio Mirabello, Björn Wallner, Burkhard Rost, Dagmar Ilzhöfer, Maria Littmann, Michael Heinzinger, Lea I M. Krautheimer, Michael Bernhofer, Liam J. McGuffin, Isabelle Callebaut, Tristan Bitard Feildel, Jian Liu, Jianlin Cheng, Zhiye Guo, Jinbo Xu, Sheng Wang, Nawar Malhis, Jörg Gsponer, Chol-Song Kim, Kun-Sop Han, Myong-Chol Ma, Lukasz A. Kurgan, Sina Ghadermarzi, Akila Katuwawala, Bi Zhao, Zhenling Peng, Zhonghua Wu, Gang Hu, Kui Wang, Md. Tamjidul Hoque, Md Wasi Ul Kabir, Michele Vendruscolo, Pietro Sormanni, Min Li, Fuhao Zhang, Pengzhen Jia, Yida Wang, Michail Yu. Lobanov, Oxana V. Galzitskaya, Wim F. Vranken, Adrián Díaz, Thomas Litfin, Yaoqi Zhou, Jack Hanson, Kuldip K. Paliwal, Zsuzsanna Dosztányi, Gábor Erdös, Silvio C. E. Tosatto, Damiano Piovesan:
CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins. Nucleic Acids Res. 51(W1): 62-69 (2023)- [j11]Ayse Aslan, Hanane El Raoui, Jack Hanson, Gokula Vasantha, John Quigley, Jonathan R. Corney, Andrew Sherlock:
Using Worker Position Data for Human-Driven Decision Support in Labour-Intensive Manufacturing. Sensors 23(10): 4928 (2023) - [c1]Hanane El Raoui, John Quigley, Ayse Aslan, Gokula Vasantha, Jack Hanson, Jonathan R. Corney, Andrew Sherlock:
Design of a Serious Game for Safety in Manufacturing Industry Using Hybrid Simulation Modelling: Towards Eliciting Risk Preferences. WSC 2023: 1304-1315 - 2020
- [j10]Jack Hanson, Thomas Litfin, Kuldip K. Paliwal, Yaoqi Zhou:
Identifying molecular recognition features in intrinsically disordered regions of proteins by transfer learning. Bioinform. 36(4): 1107-1113 (2020) - [j9]Jack Hanson, Kuldip K. Paliwal, Thomas Litfin, Yuedong Yang, Yaoqi Zhou:
Getting to Know Your Neighbor: Protein Structure Prediction Comes of Age with Contextual Machine Learning. J. Comput. Biol. 27(5): 796-814 (2020) - [j8]Yufeng Cai, Xiongjun Li, Zhe Sun, Yutong Lu, Huiying Zhao, Jack Hanson, Kuldip K. Paliwal, Thomas Litfin, Yaoqi Zhou, Yuedong Yang:
SPOT-Fold: Fragment-Free Protein Structure Prediction Guided by Predicted Backbone Structure and Contact Map. J. Comput. Chem. 41(8): 745-750 (2020)
2010 – 2019
- 2019
- [j7]Jack Hanson, Kuldip K. Paliwal, Thomas Litfin, Yuedong Yang, Yaoqi Zhou:
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. Bioinform. 35(14): 2403-2410 (2019) - [j6]Jack Hanson, Kuldip K. Paliwal, Thomas Litfin, Yaoqi Zhou:
SPOT-Disorder2: Improved Protein Intrinsic Disorder Prediction by Ensembled Deep Learning. Genom. Proteom. Bioinform. 17(6): 645-656 (2019) - 2018
- [j5]Yuedong Yang, Jianzhao Gao, Jihua Wang, Rhys Heffernan, Jack Hanson, Kuldip K. Paliwal, Yaoqi Zhou:
Sixty-five years of the long march in protein secondary structure prediction: the final stretch? Briefings Bioinform. 19(3): 482-494 (2018) - [j4]Jack Hanson, Kuldip K. Paliwal, Thomas Litfin, Yuedong Yang, Yaoqi Zhou:
Accurate prediction of protein contact maps by coupling residual two-dimensional bidirectional long short-term memory with convolutional neural networks. Bioinform. 34(23): 4039-4045 (2018) - [j3]Jaswinder Singh, Jack Hanson, Rhys Heffernan, Kuldip K. Paliwal, Yuedong Yang, Yaoqi Zhou:
Detecting Proline and Non-Proline Cis Isomers in Protein Structures from Sequences Using Deep Residual Ensemble Learning. J. Chem. Inf. Model. 58(9): 2033-2042 (2018) - [j2]Jack Hanson, Kuldip K. Paliwal, Yaoqi Zhou:
Accurate Single-Sequence Prediction of Protein Intrinsic Disorder by an Ensemble of Deep Recurrent and Convolutional Architectures. J. Chem. Inf. Model. 58(11): 2369-2376 (2018) - 2017
- [j1]Jack Hanson, Yuedong Yang, Kuldip K. Paliwal, Yaoqi Zhou:
Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networks. Bioinform. 33(5): 685-692 (2017)
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