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Ziaurrehman Tanoli
Ziaurrehman Tanoli
Bestätigte E-Mail-Adresse bei helsinki.fi
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Zitiert von
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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
3662022
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
3262019
DrugComb: an integrative cancer drug combination data portal
JT Bulat Zagidullin, Jehad Aldahdooh, Shuyu Zheng, Wenyu Wang, Yinyin Wang ...
Nucleic Acids Research, 2019
2112019
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
1542018
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
1402021
Exploration of databases and methods supporting drug repurposing: a comprehensive survey
Ziaurrehman Tanoli, Umair Seemab, Andreas Scherer, Krister Wennerberg, Jing ...
Briefings in Bioinformatics, 2021
1142021
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
822012
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
752021
Intelligent churn prediction for telecom using GP-AdaBoost learning and PSO undersampling
A Idris, A Iftikhar, ZR Tanoli
Cluster Computing, 1-15, 2017
692017
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
632018
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
492022
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
442020
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
252013
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
242011
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
212022
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
192019
“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
162023
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
162022
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
162021
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
152011
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