Abdollah Dehzangi

According to our database, Abdollah Dehzangi authored at least 32 papers between 2007 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues.

Shahab Shamshirband, Mahdis Fathi, Abdollah Dehzangi, Anthony Theodore Chronopoulos, Hamid Alinejad-Rokny

J. Biomed. Informatics, 2021

2020

SEMal: Accurate protein malonylation site predictor using structural and evolutionary information.

Shubhashis Roy Dipta, Ghazaleh Taherzadeh, Md. Wakil Ahmad, Md. Easin Arafat, Swakkhar Shatabda, Abdollah Dehzangi

Comput. Biol. Medicine, 2020

C-iSUMO: A sumoylation site predictor that incorporates intrinsic characteristics of amino acid sequences.

Yosvany López, Abdollah Dehzangi, Hamendra Manhar Reddy, Alok Sharma

Comput. Biol. Chem., 2020

Mal-Light: Enhancing Lysine Malonylation Sites Prediction Problem Using Evolutionary-based Features.

Md. Wakil Ahmad, Md. Easin Arafat, Ghazaleh Taherzadeh, Alok Sharma, Shubhashis Roy Dipta, Abdollah Dehzangi, Swakkhar Shatabda

IEEE Access, 2020

2019

GlyStruct: glycation prediction using structural properties of amino acid residues.

Hamendra Manhar Reddy, Alok Sharma, Abdollah Dehzangi, Daichi Shigemizu, Abel Avitesh Chandra, Tatsuhiko Tsunoda

BMC Bioinform., 2019

SPRINT-Gly: predicting N- and O-linked glycosylation sites of human and mouse proteins by using sequence and predicted structural properties.

Ghazaleh Taherzadeh, Abdollah Dehzangi, Maryam Golchin, Yaoqi Zhou, Matthew P. Campbell

Bioinform., 2019

PyFeat: a Python-based effective feature generation tool for DNA, RNA and protein sequences.

Rafsanjani Muhammod, Sajid Ahmed, Dewan Md. Farid, Swakkhar Shatabda, Alok Sharma, Abdollah Dehzangi

Bioinform., 2019

Computational Prediction of Lysine Pupylation Sites in Prokaryotic Proteins Using Position Specific Scoring Matrix into Bigram for Feature Extraction.

Vineet Singh, Alok Sharma, Abel Avitesh Chandra, Abdollah Dehzangi, Daichi Shigemizu, Tatsuhiko Tsunoda

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Toxicity Prediction by Multimodal Deep Learning.

Abdul Karim, Jaspreet Singh, Avinash Mishra, Abdollah Dehzangi, M. A. Hakim Newton, Abdul Sattar

Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2019

A Machine Learning Distracted Driving Prediction Model.

Samira Ahangari, Mansoureh Jeihani, Abdollah Dehzangi

Proceedings of the ICVISP 2019: 3rd International Conference on Vision, 2019

2017

iDTI-ESBoost: Identification of Drug Target Interaction Using Evolutionary and Structural Features with Boosting.

Farshid Rayhan, Sajid Ahmed, Swakkhar Shatabda, Dewan Md. Farid, Zaynab Mousavian, Abdollah Dehzangi, M. Sohel Rahman

CoRR, 2017

2016

Protein Fold Recognition Using Genetic Algorithm Optimized Voting Scheme and Profile Bigram.

Harsh Saini, Gaurav Raicar, Sunil Pranit Lal, Abdollah Dehzangi, Seiya Imoto, Alok Sharma

J. Softw., 2016

Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins.

Rhys Heffernan, Abdollah Dehzangi, James G. Lyons, Kuldip K. Paliwal, Alok Sharma, Jihua Wang, Abdul Sattar, Yaoqi Zhou, Yuedong Yang

Bioinform., 2016

2015

A mixture of physicochemical and evolutionary-based feature extraction approaches for protein fold recognition.

Abdollah Dehzangi, Alok Sharma, James G. Lyons, Kuldip K. Paliwal, Abdul Sattar

Int. J. Data Min. Bioinform., 2015

Gram-positive and gram-negative subcellular localization using rotation forest and physicochemical-based features.

Abdollah Dehzangi, Sohrab Sohrabi, Rhys Heffernan, Alok Sharma, James G. Lyons, Kuldip K. Paliwal, Abdul Sattar

BMC Bioinform., 2015

2014

A Segmentation-Based Method to Extract Structural and Evolutionary Features for Protein Fold Recognition.

Abdollah Dehzangi, Kuldip K. Paliwal, James G. Lyons, Alok Sharma, Abdul Sattar

IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network.

James G. Lyons, Abdollah Dehzangi, Rhys Heffernan, Alok Sharma, Kuldip K. Paliwal, Abdul Sattar, Yaoqi Zhou, Yuedong Yang

J. Comput. Chem., 2014

Protein Structural Class Prediction via k-Separated Bigrams Using Position Specific Scoring Matrix.

Harsh Saini, Gaurav Raicar, Alok Sharma, Sunil Pranit Lal, Abdollah Dehzangi, Rajeshkannan Ananthanarayanan, James G. Lyons, Neela Biswas, Kuldip K. Paliwal

J. Adv. Comput. Intell. Intell. Informatics, 2014

Proposing a highly accurate protein structural class predictor using segmentation-based features.

Abdollah Dehzangi, Kuldip K. Paliwal, James G. Lyons, Alok Sharma, Abdul Sattar

BMC Genom., 2014

Improving protein fold recognition using the amalgamation of evolutionary-based and structural based information.

Kuldip K. Paliwal, Alok Sharma, James G. Lyons, Abdollah Dehzangi

BMC Bioinform., 2014

2013

A strategy to select suitable physicochemical attributes of amino acids for protein fold recognition.

Alok Sharma, Kuldip K. Paliwal, Abdollah Dehzangi, James G. Lyons, Seiya Imoto, Satoru Miyano

BMC Bioinform., 2013

Exploring Potential Discriminatory Information Embedded in PSSM to Enhance Protein Structural Class Prediction Accuracy.

Abdollah Dehzangi, Kuldip K. Paliwal, James G. Lyons, Alok Sharma, Abdul Sattar

Proceedings of the Pattern Recognition in Bioinformatics, 2013

Enhancing Protein Fold Prediction Accuracy Using Evolutionary and Structural Features.

Abdollah Dehzangi, Kuldip K. Paliwal, James G. Lyons, Alok Sharma, Abdul Sattar

Proceedings of the Pattern Recognition in Bioinformatics, 2013

Protein Fold Recognition Using an Overlapping Segmentation Approach and a Mixture of Feature Extraction Models.

Abdollah Dehzangi, Kuldip K. Paliwal, Alok Sharma, James G. Lyons, Abdul Sattar

Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013

Protein Fold Recognition Using Segmentation-Based Feature Extraction Model.

Abdollah Dehzangi, Abdul Sattar

Proceedings of the Intelligent Information and Database Systems - 5th Asian Conference, 2013

Ensemble of Diversely Trained Support Vector Machines for Protein Fold Recognition.

Abdollah Dehzangi, Abdul Sattar

Proceedings of the Intelligent Information and Database Systems - 5th Asian Conference, 2013

2011

The Application of Fusion of Heterogeneous Meta Classifiers to Enhance Protein Fold Prediction Accuracy.

Abdollah Dehzangi, Roozbeh Hojabri Foladizadeh, Mohammad Aflaki, Sasan Karamizadeh

Proceedings of the Intelligent Information and Database Systems, 2011

2010

Using Random Forest for Protein Fold Prediction Problem: An Empirical Study.

Abdollah Dehzangi, Somnuk Phon-Amnuaisuk, Omid Dehzangi

J. Inf. Sci. Eng., 2010

Using Rotation Forest for Protein Fold Prediction Problem: An Empirical Study.

Abdollah Dehzangi, Somnuk Phon-Amnuaisuk, Mahmoud Manafi, Soodabeh Safa

Proceedings of the Evolutionary Computation, 2010

2009

Enhancing Protein Fold Prediction Accuracy Using an Ensemble of Different Classifiers.

Abdollah Dehzangi, Somnuk Phon-Amnuaisuk, Omid Dehzangi

Aust. J. Intell. Inf. Process. Syst., 2009

Protein Fold Prediction Problem Using Ensemble of Classifiers.

Abdollah Dehzangi, Somnuk Phon-Amnuaisuk, Keng Hoong Ng, Ehsan Mohandesi

Proceedings of the Neural Information Processing, 16th International Conference, 2009

2007

An Efficient Nearest Neighbor Classifier Using an Adaptive Distance Measure.

Omid Dehzangi, Mansoor J. Zolghadri, Shahram Taheri, Abdollah Dehzangi

Proceedings of the Computer Analysis of Images and Patterns, 12th International Conference, 2007