G. Taherzadeh

发表

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

T. Tsunoda, A. Dehzangi, Alok Sharma, 2018, BMC Genomics.

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

T. Tsunoda, J. Michaelson, A. Dehzangi, 2017, Journal of theoretical biology.

SucStruct: Prediction of succinylated lysine residues by using structural properties of amino acids.

T. Tsunoda, J. Michaelson, A. Dehzangi, 2017, Analytical biochemistry.

SumSec: Accurate Prediction of Sumoylation Sites Using Predicted Secondary Structure

T. Tsunoda, A. Dehzangi, Alok Sharma, 2018, Molecules.

Structural and energetic profiling of SARS-CoV-2 receptor binding domain antibody recognition and the impact of circulating variants

Johnathan D. Guest, B. Pierce, R. Gowthaman, 2021, PLoS Comput. Biol..

Structural and energetic profiling of SARS-CoV-2 antibody recognition and the impact of circulating variants

Johnathan D. Guest, B. Pierce, R. Gowthaman, 2021, bioRxiv.

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

Abdollah Dehzangi, Yaoqi Zhou, Matthew P Campbell, 2019, Bioinform..

Structure‐based prediction of protein‐ peptide binding regions using Random Forest

Alan Wee-Chung Liew, Yaoqi Zhou, Yuedong Yang, 2018, Bioinform..

Prediction of protein assemblies, the next frontier: The CASP14‐CAPRI experiment

Jeffrey J. Gray, Panagiotis I. Koukos, Johnathan D. Guest, 2021, Proteins.

Sequence‐based prediction of protein–peptide binding sites using support vector machine

Alan Wee-Chung Liew, Yaoqi Zhou, Yuedong Yang, 2016, J. Comput. Chem..

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

Abdollah Dehzangi, Swakkhar Shatabda, Shubhashis Roy Dipta, 2020, Comput. Biol. Medicine.

Accurate prediction of RNA 5-hydroxymethylcytosine modification by utilizing novel position-specific gapped k-mer descriptors

Sajid Ahmed, Swakkhar Shatabda, Abdollah Dehzangi, 2020, Computational and structural biotechnology journal.

Predicting lysine‐malonylation sites of proteins using sequence and predicted structural features

Alan Wee-Chung Liew, Yaoqi Zhou, Yuedong Yang, 2018, J. Comput. Chem..

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

Abdollah Dehzangi, Alok Sharma, Yosvany López, 2018, PloS one.

Recent advances in glycoinformatic platforms for glycomics and glycoproteomics.

Yaoqi Zhou, Matthew P Campbell, Jodie L Abrahams, 2019, Current opinion in structural biology.

B‐factor profile prediction for RNA flexibility using support vector machines

Yaoqi Zhou, Yuedong Yang, Jian Zhan, 2018, J. Comput. Chem..

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

Abdollah Dehzangi, Swakkhar Shatabda, Shubhashis Roy Dipta, 2020, IEEE Access.

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

T. Tsunoda, A. Dehzangi, Alok Sharma, 2018, BMC Genomics.

Accurately Predicting Glutarylation Sites Using Sequential Bi-Peptide-Based Evolutionary Features

Abdollah Dehzangi, Swakkhar Shatabda, Md. Al Mehedi Hasan, 2020, Genes.

Computational Prediction of N- and O-Linked Glycosylation Sites for Human and Mouse Proteins.

Matthew P. Campbell, Yaoqi Zhou, G. Taherzadeh, 2022, Methods in molecular biology.

Sequence-Based Prediction of Protein-Carbohydrate Binding Sites Using Support Vector Machines.

Alan Wee-Chung Liew, Yaoqi Zhou, Yuedong Yang, 2016, Journal of chemical information and modeling.

Computational Prediction of Carbohydrate‐Binding Proteins and Binding Sites

Yaoqi Zhou, Yuedong Yang, Ghazaleh Taherzadeh, 2018, Current protocols in protein science.

Sequence-Based Prediction of Protein-Carbohydrate Binding Sites Using Support Vector Machines

Alan Wee-Chung Liew, Yaoqi Zhou, Yuedong Yang, 2016, J. Chem. Inf. Model..

Predicting protein-peptide binding sites with a Deep Convolutional Neural Network.

Abdollah Dehzangi, Mahmood A. Rashid, Tatsuhiko Tsunoda, 2020, Journal of theoretical biology.

Sequence‐based prediction of protein–peptide binding sites using support vector machine

Alan Wee-Chung Liew, Yaoqi Zhou, Tuo Zhang, 2016, Journal of Computational Chemistry.

Predicting lysine‐malonylation sites of proteins using sequence and predicted structural features

Alan Wee-Chung Liew, Yaoqi Zhou, Yuedong Yang, 2018, J. Comput. Chem..

SPPPred: Sequence-Based Protein-Peptide Binding Residue Prediction Using Genetic Programming and Ensemble Learning

G. Taherzadeh, Abdolhossein Fathi, S. Shafiee, 2022, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Sequence-Based Prediction of Protein-Carbohydrate Binding Sites Using Support Vector Machines

Alan Wee-Chung Liew, Yaoqi Zhou, Yuedong Yang, 2016, J. Chem. Inf. Model..