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Kuldip Paliwal

Showing results (1-10 of 32) with videos related to

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Journal of Chemical Information and Modeling|November 6, 2018
Accurate Single-Sequence Prediction of Protein Intrinsic Disorder by an Ensemble of Deep Recurrent and Convolutional ArchitecturesJack Hanson, Kuldip Paliwal, Yaoqi Zhou
Journal of Chemical Information and Modeling|May 26, 2021
RNA Backbone Torsion and Pseudotorsion Angle Prediction Using Dilated Convolutional Neural NetworksJaswinder Singh, Kuldip Paliwal, Jaspreet Singh, et al.
Bioinformatics (Oxford, England)|April 22, 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 accessibilityRhys Heffernan, Yuedong Yang, Kuldip Paliwal, et al.
Nature Communications|November 29, 2019
RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learningJaswinder Singh, Jack Hanson, Kuldip Paliwal, et al.
Bioinformatics (Oxford, England)|September 11, 2019
Identifying molecular recognition features in intrinsically disordered regions of proteins by transfer learningJack Hanson, Thomas Litfin, Kuldip Paliwal, et al.
Bioinformatics (Oxford, England)|December 25, 2016
Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networksJack Hanson, Yuedong Yang, Kuldip Paliwal, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|October 5, 2013
A combination of feature extraction methods with an ensemble of different classifiers for protein structural class prediction problemAbdollah Dehzangi, Kuldip Paliwal, Alok Sharma, et al.
BMC Genomics|February 26, 2014
Proposing a highly accurate protein structural class predictor using segmentation-based featuresAbdollah Dehzangi, Kuldip Paliwal, James Lyons, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 11, 2015
A Segmentation-Based Method to Extract Structural and Evolutionary Features for Protein Fold RecognitionAbdollah Dehzangi, Kuldip Paliwal, James Lyons, et al.
Scientific Reports|May 9, 2022
Reaching alignment-profile-based accuracy in predicting protein secondary and tertiary structural properties without alignmentJaspreet Singh, Kuldip Paliwal, Thomas Litfin, et al.
Pageof 4

Showing results (1-10 of 32) with videos related to

Sort By:
Pageof 4
Journal of Chemical Information and Modeling|November 6, 2018
Accurate Single-Sequence Prediction of Protein Intrinsic Disorder by an Ensemble of Deep Recurrent and Convolutional ArchitecturesJack Hanson, Kuldip Paliwal, Yaoqi Zhou
Journal of Chemical Information and Modeling|May 26, 2021
RNA Backbone Torsion and Pseudotorsion Angle Prediction Using Dilated Convolutional Neural NetworksJaswinder Singh, Kuldip Paliwal, Jaspreet Singh, et al.
Bioinformatics (Oxford, England)|April 22, 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 accessibilityRhys Heffernan, Yuedong Yang, Kuldip Paliwal, et al.
Nature Communications|November 29, 2019
RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learningJaswinder Singh, Jack Hanson, Kuldip Paliwal, et al.
Bioinformatics (Oxford, England)|September 11, 2019
Identifying molecular recognition features in intrinsically disordered regions of proteins by transfer learningJack Hanson, Thomas Litfin, Kuldip Paliwal, et al.
Bioinformatics (Oxford, England)|December 25, 2016
Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networksJack Hanson, Yuedong Yang, Kuldip Paliwal, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|October 5, 2013
A combination of feature extraction methods with an ensemble of different classifiers for protein structural class prediction problemAbdollah Dehzangi, Kuldip Paliwal, Alok Sharma, et al.
BMC Genomics|February 26, 2014
Proposing a highly accurate protein structural class predictor using segmentation-based featuresAbdollah Dehzangi, Kuldip Paliwal, James Lyons, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 11, 2015
A Segmentation-Based Method to Extract Structural and Evolutionary Features for Protein Fold RecognitionAbdollah Dehzangi, Kuldip Paliwal, James Lyons, et al.
Scientific Reports|May 9, 2022
Reaching alignment-profile-based accuracy in predicting protein secondary and tertiary structural properties without alignmentJaspreet Singh, Kuldip Paliwal, Thomas Litfin, et al.
Pageof 4