Publications by authors named "Jack Hanson"

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Continuous Spectrophotometric Assay for Defluorinase and Dechlorinase Activities With α-Halocarboxylic Acids.
Marie Ronnander, Anthony G Dodge, Erin O'Neal, Caroline Pauls, Jack Hanson

Microb Biotechnol· August 2025

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Using Worker Position Data for Human-Driven Decision Support in Labour-Intensive Manufacturing.
Ayse Aslan, Hanane El-Raoui, Jack Hanson, Gokula Vasantha, John Quigley

Sensors (Basel)· May 2023

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The structure, centrality, and scale of urban street networks: Cases from Pre-Industrial Afro-Eurasia.
Mark Altaweel, Jack Hanson, Andrea Squitieri

PLoS One· January 2022

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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· May 2020

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DEPICTER: Intrinsic Disorder and Disorder Function Prediction Server.
Amita Barik, Akila Katuwawala, Jack Hanson, Kuldip Paliwal, Yaoqi Zhou

J Mol Biol· May 2020

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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

J Comput Chem· March 2020

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Identifying molecular recognition features in intrinsically disordered regions of proteins by transfer learning.
Jack Hanson, Thomas Litfin, Kuldip Paliwal, Yaoqi Zhou

Bioinformatics· February 2020

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SPOT-Disorder2: Improved Protein Intrinsic Disorder Prediction by Ensembled Deep Learning.
Jack Hanson, Kuldip K Paliwal, Thomas Litfin, Yaoqi Zhou

Genomics Proteomics Bioinformatics· December 2019

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RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning.
Jaswinder Singh, Jack Hanson, Kuldip Paliwal, Yaoqi Zhou

Nat Commun· November 2019

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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 Paliwal, Thomas Litfin, Yuedong Yang, Yaoqi Zhou

Bioinformatics· July 2019

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SyLMAND: a microfabrication beamline with wide spectral and beam power tuning range at the Canadian Light Source.
Garth Wells, Sven Achenbach, Venkat Subramanian, Michael Jacobs, David Klymyshyn, Jack Hanson

J Synchrotron Radiat· March 2019

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

Bioinformatics· December 2018

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Accurate Single-Sequence Prediction of Protein Intrinsic Disorder by an Ensemble of Deep Recurrent and Convolutional Architectures.
Jack Hanson, Kuldip Paliwal, Yaoqi Zhou

J Chem Inf Model· November 2018

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Polymer-based X-ray masks patterned by direct laser writing.
Sven Achenbach, Garth Wells, Michael Jacobs, Banafsheh Moazed, Swathi Iyer, Jack Hanson

Rev Sci Instrum· November 2018

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Detecting Proline and Non-Proline Cis Isomers in Protein Structures from Sequences Using Deep Residual Ensemble Learning.
Jaswinder Singh, Jack Hanson, Rhys Heffernan, Kuldip Paliwal, Yuedong Yang

J Chem Inf Model· September 2018

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SPIN2: Predicting sequence profiles from protein structures using deep neural networks.
James O'Connell, Zhixiu Li, Jack Hanson, Rhys Heffernan, James Lyons

Proteins· June 2018

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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

Brief Bioinform· May 2018

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

Bioinformatics· March 2017

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