Abdollah 'Iman' Dehzangi
Abdollah 'Iman' Dehzangi
Department of Computer Science, Morgan State University
Verified email at morgan.edu - Homepage
TitleCited byYear
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, 11476, 2015
1722015
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
1432015
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
982013
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
772014
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
472013
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
462014
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
452017
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), 233, 2013
422013
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
422010
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, 2015
412015
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
392015
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), S2, 2014
372014
Fold prediction problem: The application of new physical and physicochemical-based features
A Dehzangi, S Phon-Amnuaisuk
Protein and Peptide Letters 18 (2), 174-185, 2011
292011
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
272014
Using rotation forest for protein fold prediction problem: An empirical study
A Dehzangi, S Phon-Amnuaisuk, M Manafi, S Safa
European Conference on Evolutionary Computation, Machine Learning and Data …, 2010
272010
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
262014
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
242017
Protein fold prediction problem using ensemble of classifiers
A Dehzangi, SP Amnuaisuk, KH Ng, E Mohandesi
International Conference on Neural Information Processing, 503-511, 2009
242009
Gram-positive and gram-negative subcellular localization using rotation forest and physicochemical-based features
A Dehzangi, S Sohrabi, R Heffernan, A Sharma, J Lyons, K Paliwal, ...
BMC Bioinformatics 16 (Suppl 4), S1, 2015
232015
Gram-Positive and Gram-Negative Subcellular Localization Using Rotation Forest and Physicochemical-Based Features
A Dehzangi, R Heffernan, J Lyons, A Sharma, K Paliwal, A Sattar
The 9th IAPR conference on Pattern Recognition in Bioinformatics (PRIB2014 …, 2014
232014
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