In silico toxicology: computational methods for the prediction of chemical toxicity AB Raies, VB Bajic Wiley Interdisciplinary Reviews: Computational Molecular Science 6 (2), 147-172, 2016 | 679 | 2016 |
Open Targets Platform: supporting systematic drug–target identification and prioritisation D Ochoa, A Hercules, M Carmona, D Suveges, A Gonzalez-Uriarte, ... Nucleic acids research 49 (D1), D1302-D1310, 2021 | 305 | 2021 |
Comparison study of computational prediction tools for drug-target binding affinities M Thafar, AB Raies, S Albaradei, M Essack, VB Bajic Frontiers in chemistry 7, 782, 2019 | 102 | 2019 |
In silico toxicology: comprehensive benchmarking of multi‐label classification methods applied to chemical toxicity data AB Raies, VB Bajic Wiley Interdisciplinary Reviews: Computational Molecular Science 8 (3), e1352, 2018 | 19 | 2018 |
DDMGD: the database of text-mined associations between genes methylated in diseases from different species AB Raies, H Mansour, R Incitti, VB Bajic Nucleic acids research 43 (D1), D879-D886, 2015 | 18 | 2015 |
Combining position weight matrices and document-term matrix for efficient extraction of associations of methylated genes and diseases from free text A Bin Raies, H Mansour, R Incitti, VB Bajic PloS one 8 (10), e77848, 2013 | 18 | 2013 |
DES-mutation: system for exploring links of mutations and diseases V Kordopati, A Salhi, R Razali, A Radovanovic, F Tifratene, M Uludag, ... Scientific reports 8 (1), 13359, 2018 | 16 | 2018 |
DrugnomeAI is an ensemble machine-learning framework for predicting druggability of candidate drug targets A Raies, E Tulodziecka, J Stainer, L Middleton, RS Dhindsa, P Hill, ... Communications Biology 5 (1), 1291, 2022 | 11 | 2022 |
Comparison study of computational prediction tools for drug-target binding affinities. Front Chem. 2019; 7: 782 M Thafar, AB Raies, S Albaradei, M Essack, VB Bajic | 9 | |
Literature-Based Enrichment Insights into Redox Control of Vascular Biology M Essack, A Salhi, J Stanimirovic, F Tifratene, AB Raies, A Hungler, ... Oxidative Medicine and Cellular Longevity 2019, 2019 | 7 | 2019 |
DES-Tcell is a knowledgebase for exploring immunology-related literature A AlSaieedi, A Salhi, F Tifratene, AB Raies, A Hungler, M Uludag, ... Scientific Reports 11 (1), 14344, 2021 | 3 | 2021 |
DES-ROD: exploring literature to develop new links between RNA oxidation and human diseases M Essack, A Salhi, C Van Neste, AB Raies, F Tifratene, M Uludag, ... Oxidative medicine and cellular longevity 2020, 2020 | 3 | 2020 |
Phenome-wide identification of therapeutic genetic targets, leveraging knowledge graphs, graph neural networks, and UK Biobank data L Middleton, I Melas, C Vasavda, A Raies, B Rozemberczki, RS Dhindsa, ... Science Advances 10 (19), eadj1424, 2024 | | 2024 |
Author Correction: DrugnomeAI is an ensemble machine-learning framework for predicting druggability of candidate drug targets A Raies, E Tulodziecka, J Stainer, L Middleton, RS Dhindsa, P Hill, ... Communications Biology 6, 2023 | | 2023 |
DES-Tcell is a knowledgebase for exploring immunology-related literature (vol 11, 14344, 2021) A AlSaieedi, A Salhi, F Tifratene, AB Raies, A Hungler, M Uludag, ... SCIENTIFIC REPORTS 11 (1), 2021 | | 2021 |
Author Correction: DES-Tcell is a knowledgebase for exploring immunology-related literature A AlSaieedi, A Salhi, F Tifratene, AB Raies, A Hungler, M Uludag, ... Scientific Reports 11, 2021 | | 2021 |
Research Article DES-ROD: Exploring Literature to Develop New Links between RNA Oxidation and Human Diseases M Essack, A Salhi, C Van Neste, AB Raies, F Tifratene, M Uludag, ... | | 2020 |
Contributions to Computational Methods for Association Extraction from Biomedical Data: Applications to Text Mining and In Silico Toxicology AB Raies | | 2018 |
Inside Cover Image, Volume 6, Issue 2 VB Raies, A.B., and Bajic Wiley Interdisciplinary Reviews. Computational Molecular Science, 6, ii …, 2016 | | 2016 |
Automated Extraction of Associations between Methylated Genes and Diseases from Biomedical Literature AA Bin Res | | 2012 |