Abdollah 'Iman' Dehzangi
Abdollah 'Iman' Dehzangi
Assistant Professor at the Department of Computer Science, Rutgers University
Verified email at rutgers.edu
Title
Cited by
Cited by
Year
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
2982015
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
2402015
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
1452013
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
1342014
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
1212017
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
842016
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
822015
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
712014
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
622017
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
592013
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
582010
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
542013
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
522017
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
492017
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
492017
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
452014
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
432014
PyFeat: a Python-based effective feature generation tool for DNA, RNA and protein sequences
R Muhammod, S Ahmed, D Md Farid, S Shatabda, A Sharma, A Dehzangi
Bioinformatics 35 (19), 3831-3833, 2019
422019
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
392018
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
342015
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