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Kuldip Paliwal

Showing results (11-20 of 32) with videos related to

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Bioinformatics (Oxford, England)|June 25, 2022
Predicting RNA distance-based contact maps by integrated deep learning on physics-inferred secondary structure and evolutionary-derived mutational couplingJaswinder Singh, Kuldip Paliwal, Thomas Litfin, et al.
Bioinformatics (Oxford, England)|June 23, 2018
Accurate prediction of protein contact maps by coupling residual two-dimensional bidirectional long short-term memory with convolutional neural networksJack Hanson, Kuldip Paliwal, Thomas Litfin, et al.
Bioinformatics (Oxford, England)|December 12, 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 networksJack Hanson, Kuldip Paliwal, Thomas Litfin, et al.
Bioinformatics (Oxford, England)|February 1, 2022
SPOT-Contact-LM: improving single-sequence-based prediction of protein contact map using a transformer language modelJaspreet Singh, Thomas Litfin, Jaswinder Singh, et al.
Bioinformatics (Oxford, England)|October 27, 2020
Single-sequence and profile-based prediction of RNA solvent accessibility using dilated convolutional neural networkAnil Kumar Hanumanthappa, Jaswinder Singh, Kuldip Paliwal, et al.
Journal of Molecular Biology|December 25, 2019
DEPICTER: Intrinsic Disorder and Disorder Function Prediction ServerAmita Barik, Akila Katuwawala, Jack Hanson, et al.
Briefings in Bioinformatics|March 29, 2022
Probing RNA structures and functions by solvent accessibility: an overview from experimental and computational perspectivesMd Solayman, Thomas Litfin, Jaswinder Singh, et al.
Bioinformatics (Oxford, England)|May 22, 2021
RNAcmap: a fully automatic pipeline for predicting contact maps of RNAs by evolutionary coupling analysisTongchuan Zhang, Jaswinder Singh, Thomas Litfin, et al.
Bioinformatics (Oxford, England)|March 11, 2021
Improved RNA secondary structure and tertiary base-pairing prediction using evolutionary profile, mutational coupling and two-dimensional transfer learningJaswinder Singh, Kuldip Paliwal, Tongchuan Zhang, et al.
Journal of Computational Chemistry|October 29, 2018
Single-sequence-based prediction of protein secondary structures and solvent accessibility by deep whole-sequence learningRhys Heffernan, Kuldip Paliwal, James Lyons, et al.
Pageof 4

Showing results (11-20 of 32) with videos related to

Sort By:
Pageof 4
Bioinformatics (Oxford, England)|June 25, 2022
Predicting RNA distance-based contact maps by integrated deep learning on physics-inferred secondary structure and evolutionary-derived mutational couplingJaswinder Singh, Kuldip Paliwal, Thomas Litfin, et al.
Bioinformatics (Oxford, England)|June 23, 2018
Accurate prediction of protein contact maps by coupling residual two-dimensional bidirectional long short-term memory with convolutional neural networksJack Hanson, Kuldip Paliwal, Thomas Litfin, et al.
Bioinformatics (Oxford, England)|December 12, 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 networksJack Hanson, Kuldip Paliwal, Thomas Litfin, et al.
Bioinformatics (Oxford, England)|February 1, 2022
SPOT-Contact-LM: improving single-sequence-based prediction of protein contact map using a transformer language modelJaspreet Singh, Thomas Litfin, Jaswinder Singh, et al.
Bioinformatics (Oxford, England)|October 27, 2020
Single-sequence and profile-based prediction of RNA solvent accessibility using dilated convolutional neural networkAnil Kumar Hanumanthappa, Jaswinder Singh, Kuldip Paliwal, et al.
Journal of Molecular Biology|December 25, 2019
DEPICTER: Intrinsic Disorder and Disorder Function Prediction ServerAmita Barik, Akila Katuwawala, Jack Hanson, et al.
Briefings in Bioinformatics|March 29, 2022
Probing RNA structures and functions by solvent accessibility: an overview from experimental and computational perspectivesMd Solayman, Thomas Litfin, Jaswinder Singh, et al.
Bioinformatics (Oxford, England)|May 22, 2021
RNAcmap: a fully automatic pipeline for predicting contact maps of RNAs by evolutionary coupling analysisTongchuan Zhang, Jaswinder Singh, Thomas Litfin, et al.
Bioinformatics (Oxford, England)|March 11, 2021
Improved RNA secondary structure and tertiary base-pairing prediction using evolutionary profile, mutational coupling and two-dimensional transfer learningJaswinder Singh, Kuldip Paliwal, Tongchuan Zhang, et al.
Journal of Computational Chemistry|October 29, 2018
Single-sequence-based prediction of protein secondary structures and solvent accessibility by deep whole-sequence learningRhys Heffernan, Kuldip Paliwal, James Lyons, et al.
Pageof 4