Abdollah Dehzangi

Overview

Best Publications

• Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning.

  Rhys Heffernan;Kuldip Paliwal;James Lyons;Abdollah Dehzangi

  407
  Citations

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

  Shahab Shamshirband;Shahab Shamshirband;Mahdis Fathi;Abdollah Dehzangi;Anthony Theodore Chronopoulos

  290
  Citations

• Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou׳s general PseAAC

  Abdollah Dehzangi;Abdollah Dehzangi;Rhys Heffernan;Alok Sharma;Alok Sharma;James Lyons

  261
  Citations

• SPIDER2: A Package to Predict Secondary Structure, Accessible Surface Area, and Main-Chain Torsional Angles by Deep Neural Networks

  Yuedong Yang;Rhys Heffernan;Kuldip Paliwal;James Lyons

  187
  Citations

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

  James G. Lyons;Abdollah Dehzangi;Abdollah Dehzangi;Rhys Heffernan;Alok Sharma;Alok Sharma

  180
  Citations

• A feature extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognition.

  Alok Sharma;James Lyons;Abdollah Dehzangi;Abdollah Dehzangi;Kuldip Kumar Paliwal

  178
  Citations

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

  Rhys Heffernan;Abdollah Dehzangi;Abdollah Dehzangi;James G. Lyons;Kuldip K. Paliwal

  115
  Citations

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

  Farshid Rayhan;Sajid Ahmed;Swakkhar Shatabda;Dewan Md Farid

  112
  Citations

• iDNAProt-ES: Identification of DNA-binding Proteins Using Evolutionary and Structural Features

  Shahana Yasmin Chowdhury;Swakkhar Shatabda;Abdollah Dehzangi

  103
  Citations

• PyFeat: A Python-based Effective Feature Generation Tool for DNA, RNA, and Protein Sequences.

  Rafsanjani Muhammod;Sajid Ahmed;Dewan M. Farid;Swakkhar Shatabda

  103
  Citations

• Predict Gram-Positive and Gram-Negative Subcellular Localization via Incorporating Evolutionary Information and Physicochemical Features Into Chou's General PseAAC

  Ronesh Sharma;Abdollah Dehzangi;James Lyons;Kuldip Paliwal

  98
  Citations

• Computer-aided decision-making for predicting liver disease using PSO-based optimized SVM with feature selection

  Javad Hassannataj Joloudari;Hamid Saadatfar;Abdollah Dehzangi;Shahaboddin Shamshirband

  97
  Citations

• SPIN2: Predicting sequence profiles from protein structures using deep neural networks.

  James O'Connell;Zhixiu Li;Jack Hanson;Rhys Heffernan

  93
  Citations

• PSSM-Suc: Accurately predicting succinylation using position specific scoring matrix into bigram for feature extraction

  Abdollah Dehzangi;Yosvany López;Sunil Pranit Lal;Ghazaleh Taherzadeh

  86
  Citations

• A Tri-Gram Based Feature Extraction Technique Using Linear Probabilities of Position Specific Scoring Matrix for Protein Fold Recognition

  Kuldip K. Paliwal;Alok Sharma;James Lyons;Abdollah Dehzangi

  84
  Citations

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

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

  74
  Citations

• A Combination of Feature Extraction Methods with an Ensemble of Different Classifiers for Protein Structural Class Prediction Problem

  Abdollah Dehzangi;Kuldip Paliwal;Alok Sharma;Omid Dehzangi

  71
  Citations

• Using random forest for protein fold prediction problem: An empirical study

  Abdollah Dehzangi;Somnuk Phon-Amnuaisuk;Omid Dehzangi

  63
  Citations

• 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

  63
  Citations

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

  Alok Sharma;Alok Sharma;Kuldip Kumar Paliwal;Abdollah Dehzangi;James Lyons

  62
  Citations

• Improving succinylation prediction accuracy by incorporating the secondary structure via helix, strand and coil, and evolutionary information from profile bigrams.

  Abdollah Dehzangi;Yosvany López;Sunil Pranit Lal;Ghazaleh Taherzadeh

  61
  Citations

• Success: evolutionary and structural properties of amino acids prove effective for succinylation site prediction.

  Yosvany López;Alok Sharma;Alok Sharma;Abdollah Dehzangi;Sunil Pranit Lal

  59
  Citations