| Sequence‐based prediction of protein–peptide binding sites using support vector machine G Taherzadeh, Y Yang, T Zhang, AWC Liew, Y Zhou Journal of computational chemistry 37 (13), 1223-1229, 2016 | 108 | 2016 |
| Prediction of protein assemblies, the next frontier: The CASP14‐CAPRI experiment MF Lensink, G Brysbaert, T Mauri, N Nadzirin, S Velankar, RAG Chaleil, ... Proteins: Structure, Function, and Bioinformatics 89 (12), 1800-1823, 2021 | 85 | 2021 |
| Recent advances in glycoinformatic platforms for glycomics and glycoproteomics JL Abrahams, G Taherzadeh, G Jarvas, A Guttman, Y Zhou, MP Campbell Current Opinion in Structural Biology 62, 56-69, 2020 | 85 | 2020 |
| 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 | 84 | 2017 |
| Sequence-Based Prediction of Protein–Carbohydrate Binding Sites Using Support Vector Machines G Taherzadeh, Y Zhou, AWC Liew, Y Yang Journal of Chemical Information and Modeling 56 (10), 2115-2122, 2016 | 78 | 2016 |
| Structure-based prediction of protein–peptide binding regions using Random Forest G Taherzadeh, Y Zhou, AWC Liew, Y Yang Bioinformatics 34 (3), 477-484, 2018 | 75 | 2018 |
| 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, M Golchin, Y Zhou, MP Campbell Bioinformatics 35 (20), 4140-4146, 2019 | 66 | 2019 |
| 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 | 64 | 2017 |
| Improving succinylation prediction accuracy by incorporating the secondary structure via helix, strand and coil, and evolutionary information from profile bigrams A Dehzangi, Y López, SP Lal, G Taherzadeh, A Sattar, T Tsunoda, ... PloS one 13 (2), e0191900, 2018 | 60 | 2018 |
| 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, 105-114, 2018 | 58 | 2018 |
| Predicting protein-peptide binding sites with a deep convolutional neural network W Wardah, A Dehzangi, G Taherzadeh, MA Rashid, MGM Khan, ... Journal of theoretical biology 496, 110278, 2020 | 38 | 2020 |
| Large expert-curated database for benchmarking document similarity detection in biomedical literature search P Brown, AC Tan, MA El-Esawi, T Liehr, O Blanck, DP Gladue, ... Database 2019, 2019 | 36 | 2019 |
| Predicting lysine‐malonylation sites of proteins using sequence and predicted structural features G Taherzadeh, Y Yang, H Xu, Y Xue, AWC Liew, Y Zhou Journal of computational chemistry 39 (22), 1757-1763, 2018 | 34 | 2018 |
| Accurately predicting glutarylation sites using sequential bi-peptide-based evolutionary features ME Arafat, MW Ahmad, SM Shovan, A Dehzangi, SR Dipta, MAM Hasan, ... Genes 11 (9), 1023, 2020 | 22 | 2020 |
| Mal-Light: Enhancing Lysine Malonylation Sites Prediction Problem Using Evolutionary-based Features MW Ahmad, ME Arafat, G Taherzadeh, A Sharma, SR Dipta, A Dehzangi, ... IEEE Access 8, 77888-77902, 2020 | 21 | 2020 |
| SumSec: Accurate Prediction of Sumoylation Sites Using Predicted Secondary Structure A Dehzangi, Y López, G Taherzadeh, A Sharma, T Tsunoda Molecules 23 (12), 3260, 2018 | 19 | 2018 |
| Evaluation of online signature verification features G Taherzadeh, R Karimi, A Ghobadi, HM Beh 13th International Conference on Advanced Communication Technology …, 2011 | 19 | 2011 |
| SEMal: Accurate protein malonylation site predictor using structural and evolutionary information SR Dipta, G Taherzadeh, MDW Ahmad, MDE Arafat, S Shatabda, ... Computers in Biology and Medicine 125, 104022, 2020 | 18 | 2020 |
| Structural and energetic profiling of SARS-CoV-2 receptor binding domain antibody recognition and the impact of circulating variants R Yin, JD Guest, G Taherzadeh, R Gowthaman, I Mittra, J Quackenbush, ... PLOS Computational Biology 17 (9), e1009380, 2021 | 14 | 2021 |
| Accurate prediction of RNA 5-hydroxymethylcytosine modification by utilizing novel position-specific gapped k-mer descriptors S Ahmed, Z Hossain, M Uddin, G Taherzadeh, A Sharma, S Shatabda, ... Computational and Structural Biotechnology Journal 18, 3528-3538, 2020 | 14 | 2020 |
Iman DehzangiAssistant Professor at the Department of Computer Science, Rutgers University在 rutgers.edu 的电子邮件经过验证
