SynergyFinder plus: toward better interpretation and annotation of drug combination screening datasets S Zheng, W Wang, J Aldahdooh, A Malyutina, T Shadbahr, Z Tanoli, ... Genomics, Proteomics and Bioinformatics 20 (3), 587-596, 2022 | 366 | 2022 |
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen MP Menden, D Wang, MJ Mason, B Szalai, KC Bulusu, Y Guan, T Yu, ... Nature communications 10 (1), 2674, 2019 | 326 | 2019 |
DrugComb: an integrative cancer drug combination data portal JT Bulat Zagidullin, Jehad Aldahdooh, Shuyu Zheng, Wenyu Wang, Yinyin Wang ... Nucleic Acids Research, 2019 | 211 | 2019 |
Drug Target Commons: A Community Effort to Build a Consensus Knowledge Base for Drug-Target Interactions ZR Tanoli, J Tang, B Ravikumar, Z Alam, A Rebane, M Vähä-Koskela, ... Cell Chemical Biology 25, 224-229, 2018 | 154 | 2018 |
Artificial intelligence, machine learning, and drug repurposing in cancer Z Tanoli, M Vähä-Koskela, T Aittokallio Expert opinion on drug discovery 16 (9), 977-989, 2021 | 140 | 2021 |
Exploration of databases and methods supporting drug repurposing: a comprehensive survey Ziaurrehman Tanoli, Umair Seemab, Andreas Scherer, Krister Wennerberg, Jing ... Briefings in Bioinformatics, 2021 | 114 | 2021 |
Identifying GPCRs and their types with Chou’s pseudo amino acid composition: An approach from multi-scale energy representation and position specific scoring matrix ZR Tanoli, A Khan Protein and Peptide Letters 19 (8), 890-903, 2012 | 82 | 2012 |
Crowdsourced mapping of unexplored target space of kinase inhibitors A Cichońska, B Ravikumar, RJ Allaway, F Wan, S Park, O Isayev, S Li, ... Nature communications 12 (1), 3307, 2021 | 75 | 2021 |
Intelligent churn prediction for telecom using GP-AdaBoost learning and PSO undersampling A Idris, A Iftikhar, ZR Tanoli Cluster Computing, 1-15, 2017 | 69 | 2017 |
Drug Target Commons 2.0: a community platform for systematic analysis of drug–target interaction profiles ZR Tanoli, Z Alam, M Vähä-Koskela, B Ravikumar, A Malyutina, A Jaiswal, ... Database 2018, bay083, 2018 | 63 | 2018 |
A community challenge for a pancancer drug mechanism of action inference from perturbational profile data EF Douglass, RJ Allaway, B Szalai, W Wang, T Tian, A Fernández-Torras, ... Cell Reports Medicine 3 (1), 2022 | 49 | 2022 |
Interactive visual analysis of drug–target interaction networks using drug target profiler, with applications to precision medicine and drug repurposing Z Tanoli, Z Alam, A Ianevski, K Wennerberg, M Vähä-Koskela, T Aittokallio Briefings in bioinformatics 21 (1), 211-220, 2020 | 44 | 2020 |
Predicting G-protein-coupled receptors families using different physiochemical properties and pseudo amino acid composition Z Rehman, MT Mirza, A Khan, H Xhaard Methods in enzymology 522, 61-79, 2013 | 25 | 2013 |
G-protein-coupled receptor prediction using pseudo-amino-acid composition and multiscale energy representation of different physiochemical properties ZR Tanoli, A Khan Analytical biochemistry 412 (2), 173-182, 2011 | 24 | 2011 |
DrugRepo: a novel approach to repurposing drugs based on chemical and genomic features Y Wang, J Aldahdooh, Y Hu, H Yang, M Vähä-Koskela, J Tang, Z Tanoli Scientific Reports 12 (1), 21116, 2022 | 21 | 2022 |
Cartography of rhodopsin-like G protein-coupled receptors across vertebrate genomes M Rinne, Z Tanoli, A Khan, H Xhaard Scientific Reports 9 (1), 7058, 2019 | 19 | 2019 |
“Be sustainable”: EOSC‐Life recommendations for implementation of FAIR principles in life science data handling R David, A Rybina, JM Burel, JK Heriche, P Audergon, JW Boiten, ... The EMBO journal 42 (23), e115008, 2023 | 16 | 2023 |
Using BERT to identify drug-target interactions from whole PubMed J Aldahdooh, M Vähä-Koskela, J Tang, Z Tanoli BMC bioinformatics 23 (1), 245, 2022 | 16 | 2022 |
Identification of Celecoxib targeted proteins using label-free thermal proteome profiling on rat hippocampus E Gholizadeh, A Khaleghian, M Salimi, Z Tanoli, K Gilany, R Soliymani, ... Molecular Pharmacology, 2021 | 16 | 2021 |
Prediction of GPCRs with pseudo amino acid composition: employing composite features and grey incidence degree based classification ZR Tanoli, A Khan Protein and peptide letters 18 (9), 872-878, 2011 | 15 | 2011 |