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A. Dehzangi · SciRah

Researcher profile · Semantic Scholar

A. Dehzangi

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A. Dehzangi — researcher profile on SciRah

h-index: 33
Works: 100
Citations: 4,186

Most-cited papers

Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning
Rhys Heffernan, K. Paliwal, James G. Lyons, A. Dehzangi +5 more
2015Scientific Reports347 citations Open access
Semantic Scholar
A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues
S. Shamshirband, Mahdis Fathi, A. Dehzangi, Anthony T. Chronopoulos +1 more
2020Journal of Biomedical Informatics276 citations Open access
Semantic Scholar
Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou׳s general PseAAC.
A. Dehzangi, Rhys Heffernan, Alok Sharma, James G. Lyons +2 more
2015Journal of Theoretical Biology233 citations Open access
Semantic Scholar
A feature extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognition.
Alok Sharma, James G. Lyons, A. Dehzangi, K. Paliwal
2013Journal of Theoretical Biology156 citations
Semantic Scholar
Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto‐encoder deep neural network
James G. Lyons, A. Dehzangi, Rhys Heffernan, Alok Sharma +4 more
2014Journal of Computational Chemistry152 citations Open access
Semantic Scholar
SPIDER2: A Package to Predict Secondary Structure, Accessible Surface Area, and Main-Chain Torsional Angles by Deep Neural Networks.
Yuedong Yang, Rhys Heffernan, K. Paliwal, James G. Lyons +5 more
2017Methods in molecular biology151 citations
Semantic Scholar
iDTI-ESBoost: Identification of Drug Target Interaction Using Evolutionary and Structural Features with Boosting
Farshid Rayhan, Sajid Ahmed, S. Shatabda, D. Farid +3 more
2017Scientific Reports116 citations Open access
Semantic Scholar
PyFeat: a Python-based effective feature generation tool for DNA, RNA and protein sequences
Rafsanjani Muhammod, Sajid Ahmed, D. Farid, S. Shatabda +2 more
2019Bioinform.109 citations Open access
Semantic Scholar
SPIN2: Predicting sequence profiles from protein structures using deep neural networks
James C. O'Connell, Zhixiu Li, Jack Hanson, Rhys Heffernan +5 more
2018Proteins: Structure, Function, and Bioinformatics105 citations Open access
Semantic Scholar
ACP-MHCNN: an accurate multi-headed deep-convolutional neural network to predict anticancer peptides
Sajid Ahmed, Rafsanjani Muhammod, Zahid Khan, Sheikh Adilina +3 more
2020Scientific Reports99 citations Open access
Semantic Scholar
Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins
Rhys Heffernan, A. Dehzangi, James G. Lyons, K. Paliwal +5 more
2016Bioinform.99 citations Open access
Semantic Scholar
Computer-aided decision-making for predicting liver disease using PSO-based optimized SVM with feature selection
Javad Hassannataj Joloudari, Hamid Saadatfar, A. Dehzangi, S. Shamshirband
2019Informatics in Medicine Unlocked97 citations Open access
Semantic Scholar
iDNAProt-ES: Identification of DNA-binding Proteins Using Evolutionary and Structural Features
Shahana Yasmin Chowdhury, S. Shatabda, A. Dehzangi
2017Scientific Reports95 citations Open access
Semantic Scholar
Predict Gram-Positive and Gram-Negative Subcellular Localization via Incorporating Evolutionary Information and Physicochemical Features Into Chou's General PseAAC
Ronesh Sharma, A. Dehzangi, James G. Lyons, K. Paliwal +2 more
2015IEEE Transactions on Nanobioscience80 citations Open access
Semantic Scholar
Proposing a highly accurate protein structural class predictor using segmentation-based features
A. Dehzangi, K. Paliwal, James G. Lyons, Alok Sharma +1 more
2014BMC Genomics76 citations Open access
Semantic Scholar
PSSM-Suc: Accurately predicting succinylation using position specific scoring matrix into bigram for feature extraction.
A. Dehzangi, Yosvany López, S. Lal, G. Taherzadeh +4 more
2017Journal of Theoretical Biology72 citations
Semantic Scholar
A Tri-Gram Based Feature Extraction Technique Using Linear Probabilities of Position Specific Scoring Matrix for Protein Fold Recognition
K. Paliwal, Alok Sharma, James G. Lyons, A. Dehzangi
2014IEEE Transactions on Nanobioscience72 citations Open access
Semantic Scholar
CNN-KCL: Automatic myocarditis diagnosis using convolutional neural network combined with k-means clustering.
Danial Sharifrazi, R. Alizadehsani, Javad Hassannataj Joloudari, Shahab S. Band +7 more
2020Mathematical biosciences and engineering : MBE71 citations Open access
Semantic Scholar
SPRINT-Gly: predicting N- and O-linked glycosylation sites of human and mouse proteins by using sequence and predicted structural properties
G. Taherzadeh, A. Dehzangi, Maryam Golchin, Yaoqi Zhou +1 more
2019Bioinform.71 citations Open access
Semantic Scholar
SucStruct: Prediction of succinylated lysine residues by using structural properties of amino acids.
Yosvany López, A. Dehzangi, S. Lal, G. Taherzadeh +4 more
2017Analytical Biochemistry63 citations
Semantic Scholar
Success: evolutionary and structural properties of amino acids prove effective for succinylation site prediction
Yosvany López, Alok Sharma, A. Dehzangi, S. Lal +3 more
2018BMC Genomics60 citations Open access
Semantic Scholar
PhoglyStruct: Prediction of phosphoglycerylated lysine residues using structural properties of amino acids
A. Chandra, Alok Sharma, A. Dehzangi, S. Ranganathan +3 more
2018Scientific Reports59 citations Open access
Semantic Scholar
A Combination of Feature Extraction Methods with an Ensemble of Different Classifiers for Protein Structural Class Prediction Problem
A. Dehzangi, K. Paliwal, Alok Sharma, O. Dehzangi +1 more
2013IEEE/ACM Transactions on Computational Biology & Bioinformatics59 citations Open access
Semantic Scholar
Improving succinylation prediction accuracy by incorporating the secondary structure via helix, strand and coil, and evolutionary information from profile bigrams
A. Dehzangi, Yosvany López, S. Lal, G. Taherzadeh +3 more
2018PLoS ONE58 citations Open access
Semantic Scholar
A strategy to select suitable physicochemical attributes of amino acids for protein fold recognition
Alok Sharma, K. Paliwal, A. Dehzangi, James G. Lyons +2 more
2013BMC Bioinformatics50 citations Open access
Semantic Scholar
HMMBinder: DNA-Binding Protein Prediction Using HMM Profile Based Features
Rianon Zaman, Shahana Yasmin Chowdhury, Mahmood A. Rashid, Alok Sharma +2 more
2017BioMed Research International49 citations Open access
Semantic Scholar
Using Random Forest for Protein Fold Prediction Problem: An Empirical Study
A. Dehzangi, S. Phon-Amnuaisuk, O. Dehzangi
2010Journal of information science and engineering49 citations
Semantic Scholar
Predicting protein-peptide binding sites with a Deep Convolutional Neural Network.
Wafaa Wardah, A. Dehzangi, G. Taherzadeh, Mahmood A. Rashid +3 more
2020Journal of Theoretical Biology46 citations Open access
Semantic Scholar
A Segmentation-Based Method to Extract Structural and Evolutionary Features for Protein Fold Recognition
A. Dehzangi, K. Paliwal, James G. Lyons, Alok Sharma +1 more
2014IEEE/ACM Transactions on Computational Biology & Bioinformatics43 citations Open access
Semantic Scholar
GlyStruct: glycation prediction using structural properties of amino acid residues
H. Reddy, Alok Sharma, A. Dehzangi, Daichi Shigemizu +2 more
2019BMC Bioinformatics41 citations Open access
Semantic Scholar
Advancing the Accuracy of Protein Fold Recognition by Utilizing Profiles From Hidden Markov Models
James G. Lyons, A. Dehzangi, Rhys Heffernan, Yuedong Yang +3 more
2015IEEE Transactions on Nanobioscience37 citations
Semantic Scholar
Gram-positive and gram-negative subcellular localization using rotation forest and physicochemical-based features
A. Dehzangi, Sohrab Sohrabi, Rhys Heffernan, Alok Sharma +3 more
2015BMC Bioinformatics36 citations Open access
Semantic Scholar
Protein fold recognition using HMM-HMM alignment and dynamic programming.
James G. Lyons, K. Paliwal, A. Dehzangi, Rhys Heffernan +2 more
2016Journal of Theoretical Biology34 citations Open access
Semantic Scholar
iProtGly‐SS: Identifying protein glycation sites using sequence and structure based features
Md. Mofijul Islam, Sanjay Saha, M. M. Rahman, S. Shatabda +2 more
2018Proteins: Structure, Function, and Bioinformatics33 citations
Semantic Scholar
iPHLoc-ES: Identification of bacteriophage protein locations using evolutionary and structural features.
S. Shatabda, Sanjay Saha, Alok Sharma, A. Dehzangi
2017Journal of Theoretical Biology33 citations Open access
Semantic Scholar
Protein Fold Recognition Using Genetic Algorithm Optimized Voting Scheme and Profile Bigram
Harsh Saini, Gaurav Raicar, S. Lal, A. Dehzangi +2 more
2016Journal of Software33 citations Open access
Semantic Scholar
Protein fold recognition by alignment of amino acid residues using kernelized dynamic time warping.
James G. Lyons, N. Biswas, Alok Sharma, A. Dehzangi +1 more
2014Journal of Theoretical Biology33 citations Open access
Semantic Scholar
Quantitative Toxicity Prediction via Meta Ensembling of Multitask Deep Learning Models
Abdul Karim, V. Riahi, Avinash Mishra, M. A. Hakim Newton +3 more
2021ACS Omega30 citations Open access
Semantic Scholar
EvoStruct-Sub: An accurate Gram-positive protein subcellular localization predictor using evolutionary and structural features.
Md. Raihan Uddin, Alok Sharma, D. Farid, M. Rahman +2 more
2018Journal of Theoretical Biology30 citations Open access
Semantic Scholar
Enhancing Protein Fold Prediction Accuracy Using Evolutionary and Structural Features
A. Dehzangi, K. Paliwal, James G. Lyons, Alok Sharma +1 more
2013Pattern Recognition in Bioinformatics30 citations Open access
Semantic Scholar
Using Rotation Forest for Protein Fold Prediction Problem: An Empirical Study
A. Dehzangi, S. Phon-Amnuaisuk, Mahmoud Manafi, Soodabeh Safa
2010Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics30 citations
Semantic Scholar
Solving protein fold prediction problem using fusion of heterogeneous classifiers
A. Dehzangi, Sasan Karamizadeh
201129 citations
Semantic Scholar
Accurately Predicting Glutarylation Sites Using Sequential Bi-Peptide-Based Evolutionary Features
Md. Easin Arafat, Md. Wakil Ahmad, S. M. Shovan, A. Dehzangi +5 more
2020Genes27 citations Open access
Semantic Scholar
Improving protein fold recognition and structural class prediction accuracies using physicochemical properties of amino acids.
Gaurav Raicar, Harsh Saini, A. Dehzangi, S. Lal +1 more
2016Journal of Theoretical Biology27 citations
Semantic Scholar
Evaluation of Sequence Features from Intrinsically Disordered Regions for the Estimation of Protein Function
Alok Sharma, A. Dehzangi, James G. Lyons, S. Imoto +3 more
2014PLoS ONE27 citations Open access
Semantic Scholar
Fold prediction problem: the application of new physical and physicochemical-based features.
A. Dehzangi, S. Phon-Amnuaisuk
2011Protein Peptide Letters27 citations
Semantic Scholar
VIRMOTIF: A User-Friendly Tool for Viral Sequence Analysis
P. Rajaei, Khadijeh Jahanian, A. Beheshti, Shahab S. Band +2 more
2021Genes26 citations Open access
Semantic Scholar
A novel one-class classification approach to accurately predict disease-gene association in acute myeloid leukemia cancer
Akram Vasighizaker, Alok Sharma, A. Dehzangi
2019PLoS ONE25 citations Open access
Semantic Scholar
Enhancing Protein Fold Prediction Accuracy Using an Ensemble of Different Classifiers
A. Dehzangi, S. Phon-Amnuaisuk, O. Dehzangi
2009Australian Journal of Intelligent Information Processing Systems25 citations
Semantic Scholar
Improving protein fold recognition using the amalgamation of evolutionary-based and structural based information
K. Paliwal, Alok Sharma, James G. Lyons, A. Dehzangi
2014BMC Bioinformatics24 citations Open access
Semantic Scholar

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