|Improving prediction of secondary structure, local backbone angles and solvent accessible surface area of proteins by iterative deep learning|
R Heffernan, K Paliwal, J Lyons, A Dehzangi, A Sharma, J Wang, A Sattar, ...
Scientific reports 5 (1), 1-11, 2015
|Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou׳ s general PseAAC|
A Dehzangi, R Heffernan, A Sharma, J Lyons, K Paliwal, A Sattar
Journal of theoretical biology 364, 284-294, 2015
|A feature extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognition|
A Sharma, J Lyons, A Dehzangi, KK Paliwal
Journal of theoretical biology 320, 41-46, 2013
|Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto‐encoder deep neural network|
J Lyons, A Dehzangi, R Heffernan, A Sharma, K Paliwal, A Sattar, Y Zhou, ...
Journal of computational chemistry 35 (28), 2040-2046, 2014
|Spider2: A package to predict secondary structure, accessible surface area, and main-chain torsional angles by deep neural networks|
Y Yang, R Heffernan, K Paliwal, J Lyons, A Dehzangi, A Sharma, J Wang, ...
Prediction of protein secondary structure, 55-63, 2017
|Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins|
R Heffernan, A Dehzangi, J Lyons, K Paliwal, A Sharma, J Wang, A Sattar, ...
Bioinformatics 32 (6), 843-849, 2016
|Predict gram-positive and gram-negative subcellular localization via incorporating evolutionary information and physicochemical features into Chou's general PseAAC|
R Sharma, A Dehzangi, J Lyons, K Paliwal, T Tsunoda, A Sharma
IEEE transactions on nanobioscience 14 (8), 915-926, 2015
|A tri-gram based feature extraction technique using linear probabilities of position specific scoring matrix for protein fold recognition|
KK Paliwal, A Sharma, J Lyons, A Dehzangi
IEEE transactions on nanobioscience 13 (1), 44-50, 2014
|A combination of feature extraction methods with an ensemble of different classifiers for protein structural class prediction problem|
A Dehzangi, K Paliwal, A Sharma, O Dehzangi, A Sattar
IEEE/ACM Transactions on Computational Biology and Bioinformatics 10 (3 …, 2013
|iDTI-ESBoost: identification of drug target interaction using evolutionary and structural features with boosting|
F Rayhan, S Ahmed, S Shatabda, DM Farid, Z Mousavian, A Dehzangi, ...
Scientific reports 7 (1), 1-18, 2017
|Using random forest for protein fold prediction problem: an empirical study.|
A Dehzangi, S Phon-Amnuaisuk, O Dehzangi
J. Inf. Sci. Eng. 26 (6), 1941-1956, 2010
|A strategy to select suitable physicochemical attributes of amino acids for protein fold recognition|
A Sharma, KK Paliwal, A Dehzangi, J Lyons, S Imoto, S Miyano
BMC bioinformatics 14 (1), 1-11, 2013
|SucStruct: prediction of succinylated lysine residues by using structural properties of amino acids|
Y López, A Dehzangi, SP Lal, G Taherzadeh, J Michaelson, A Sattar, ...
Analytical biochemistry 527, 24-32, 2017
|iDNAProt-ES: Identification of dna-binding proteins using evolutionary and structural features|
SY Chowdhury, S Shatabda, A Dehzangi
Scientific reports 7 (1), 1-14, 2017
|A Segmentation-based Method to Extract Structural and Evolutionary Features for Protein Fold Recognition|
A Dehzangi, J Lyons, A Sharma, A Sattar
IEEE/ACM Transactions on Computational Biology and Bioinformatics 11 (3 …, 2014
|Proposing a highly accurate protein structural class predictor using segmentation-based features|
A Dehzangi, K Paliwal, J Lyons, A Sharma, A Sattar
BMC genomics 15 (1), 1-13, 2014
|PSSM-Suc: Accurately predicting succinylation using position specific scoring matrix into bigram for feature extraction|
A Dehzangi, Y López, SP Lal, G Taherzadeh, J Michaelson, A Sattar, ...
Journal of theoretical biology 425, 97-102, 2017
|Success: evolutionary and structural properties of amino acids prove effective for succinylation site prediction|
Y López, A Sharma, A Dehzangi, SP Lal, G Taherzadeh, A Sattar, ...
BMC Genomics 19 (Suppl 1), 923, 2018
|Advancing the accuracy of protein fold recognition by utilizing profiles from hidden Markov models|
J Lyons, A Dehzangi, R Heffernan, Y Yang, Y Zhou, A Sharma, K Paliwal
IEEE transactions on nanobioscience 14 (7), 761-772, 2015
|Protein fold recognition by alignment of amino acid residues using kernelized dynamic time warping|
J Lyons, N Biswas, A Sharma, A Dehzangi, KK Paliwal
Journal of theoretical biology 354, 137-145, 2014