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Kuldip Paliwal

Showing results (21-30 of 32) with videos related to

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Journal of Theoretical Biology|September 30, 2014
Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou׳s general PseAACAbdollah Dehzangi, Rhys Heffernan, Alok Sharma, et al.
IEEE Transactions on Nanobioscience|November 20, 2015
Predict Gram-Positive and Gram-Negative Subcellular Localization via Incorporating Evolutionary Information and Physicochemical Features Into Chou's General PseAACRonesh Sharma, Abdollah Dehzangi, James Lyons, et al.
Journal of Chemical Information and Modeling|August 18, 2018
Detecting Proline and Non-Proline Cis Isomers in Protein Structures from Sequences Using Deep Residual Ensemble LearningJaswinder Singh, Jack Hanson, Rhys Heffernan, et al.
Bioinformatics (Oxford, England)|May 13, 2021
SPOT-1D-Single: improving the single-sequence-based prediction of protein secondary structure, backbone angles, solvent accessibility and half-sphere exposures using a large training set and ensembled deep learningJaspreet Singh, Thomas Litfin, Kuldip Paliwal, et al.
Briefings in Bioinformatics|January 2, 2017
Sixty-five years of the long march in protein secondary structure prediction: the final stretch?Yuedong Yang, Jianzhao Gao, Jihua Wang, et al.
BMC Bioinformatics|March 4, 2015
Gram-positive and Gram-negative subcellular localization using rotation forest and physicochemical-based featuresAbdollah Dehzangi, Sohrab Sohrabi, Rhys Heffernan, et al.
IEEE Transactions on Nanobioscience|July 25, 2015
Advancing the Accuracy of Protein Fold Recognition by Utilizing Profiles From Hidden Markov ModelsJames Lyons, Abdollah Dehzangi, Rhys Heffernan, et al.
Journal of Computational Chemistry|September 13, 2014
Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural networkJames Lyons, Abdollah Dehzangi, Rhys Heffernan, et al.
Proteins|March 7, 2018
SPIN2: Predicting sequence profiles from protein structures using deep neural networksJames O'Connell, Zhixiu Li, Jack Hanson, et al.
Bioinformatics (Oxford, England)|November 17, 2015
Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteinsRhys Heffernan, Abdollah Dehzangi, James Lyons, et al.
Pageof 4

Showing results (21-30 of 32) with videos related to

Sort By:
Pageof 4
Journal of Theoretical Biology|September 30, 2014
Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou׳s general PseAACAbdollah Dehzangi, Rhys Heffernan, Alok Sharma, et al.
IEEE Transactions on Nanobioscience|November 20, 2015
Predict Gram-Positive and Gram-Negative Subcellular Localization via Incorporating Evolutionary Information and Physicochemical Features Into Chou's General PseAACRonesh Sharma, Abdollah Dehzangi, James Lyons, et al.
Journal of Chemical Information and Modeling|August 18, 2018
Detecting Proline and Non-Proline Cis Isomers in Protein Structures from Sequences Using Deep Residual Ensemble LearningJaswinder Singh, Jack Hanson, Rhys Heffernan, et al.
Bioinformatics (Oxford, England)|May 13, 2021
SPOT-1D-Single: improving the single-sequence-based prediction of protein secondary structure, backbone angles, solvent accessibility and half-sphere exposures using a large training set and ensembled deep learningJaspreet Singh, Thomas Litfin, Kuldip Paliwal, et al.
Briefings in Bioinformatics|January 2, 2017
Sixty-five years of the long march in protein secondary structure prediction: the final stretch?Yuedong Yang, Jianzhao Gao, Jihua Wang, et al.
BMC Bioinformatics|March 4, 2015
Gram-positive and Gram-negative subcellular localization using rotation forest and physicochemical-based featuresAbdollah Dehzangi, Sohrab Sohrabi, Rhys Heffernan, et al.
IEEE Transactions on Nanobioscience|July 25, 2015
Advancing the Accuracy of Protein Fold Recognition by Utilizing Profiles From Hidden Markov ModelsJames Lyons, Abdollah Dehzangi, Rhys Heffernan, et al.
Journal of Computational Chemistry|September 13, 2014
Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural networkJames Lyons, Abdollah Dehzangi, Rhys Heffernan, et al.
Proteins|March 7, 2018
SPIN2: Predicting sequence profiles from protein structures using deep neural networksJames O'Connell, Zhixiu Li, Jack Hanson, et al.
Bioinformatics (Oxford, England)|November 17, 2015
Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteinsRhys Heffernan, Abdollah Dehzangi, James Lyons, et al.
Pageof 4