| Discovery of new catalytic topoisomerase II inhibitors for anticancer therapeutics VM Matias-Barrios, M Radaeva, Y Song, Z Alperstein, AR Lee, V Schmitt, ... Frontiers in oncology 10, 633142, 2021 | 35 | 2021 |
| Drugging the ‘undruggable’. Therapeutic targeting of protein–DNA interactions with the use of computer-aided drug discovery methods M Radaeva, AT Ton, M Hsing, F Ban, A Cherkasov Drug discovery today 26 (11), 2660-2679, 2021 | 29 | 2021 |
| The use of methods of computer-aided drug discovery in the development of topoisomerase II inhibitors: applications and future directions M Radaeva, X Dong, A Cherkasov Journal of Chemical Information and Modeling 60 (8), 3703-3721, 2020 | 21 | 2020 |
| Development of novel inhibitors targeting the d-box of the dna binding domain of androgen receptor M Radaeva, F Ban, F Zhang, E LeBlanc, N Lallous, PS Rennie, ... International journal of molecular sciences 22 (5), 2493, 2021 | 18 | 2021 |
| Optimization of new catalytic topoisomerase II inhibitors as an anti-cancer therapy VM Matias-Barrios, M Radaeva, CH Ho, J Lee, H Adomat, N Lallous, ... Cancers 13 (15), 3675, 2021 | 11 | 2021 |
| Structural analysis of avibactam-mediated activation of the bla and mec divergons in methicillin-resistant Staphylococcus aureus JAN Alexander, M Radaeva, DT King, HF Chambers, A Cherkasov, ... Journal of Biological Chemistry 295 (32), 10870-10884, 2020 | 10 | 2020 |
| Ligand binding prediction using protein structure graphs and residual graph attention networks M Pandey, M Radaeva, H Mslati, O Garland, M Fernandez, M Ester, ... Molecules 27 (16), 5114, 2022 | 9 | 2022 |
| Discovery of novel Lin28 inhibitors to suppress cancer cell stemness M Radaeva, CH Ho, N Xie, S Zhang, J Lee, L Liu, N Lallous, A Cherkasov, ... Cancers 14 (22), 5687, 2022 | 8 | 2022 |
| Lin28 regulates cancer cell stemness for tumour progression Z Lin, M Radaeva, A Cherkasov, X Dong Cancers 14 (19), 4640, 2022 | 8 | 2022 |
| Keeping pace with the explosive growth of chemical libraries with structure‐based virtual screening J Kuan, M Radaeva, A Avenido, A Cherkasov, F Gentile Wiley Interdisciplinary Reviews: Computational Molecular Science 13 (6), e1678, 2023 | 6 | 2023 |
| Structure-Based Study to Overcome Cross-Reactivity of Novel Androgen Receptor Inhibitors M Radaeva, H Li, E LeBlanc, K Dalal, F Ban, F Ciesielski, B Chow, ... Cells 11 (18), 2785, 2022 | 4 | 2022 |
| Novel Inhibitors of Androgen Receptor’s DNA Binding Domain Identified Using an Ultra‐Large Virtual Screening M Radaeva, H Morin, M Pandey, F Ban, M Guo, E LeBlanc, N Lallous, ... Molecular Informatics, 2023 | 1 | 2023 |
| Graph machine learning in drug discovery M Pandey, A Hamidizadeh, M Radaeva, M Fernandez, M Ester, ... Cheminformatics, QSAR and Machine Learning Applications for Novel Drug …, 2023 | 1 | 2023 |
| PurificationDB: database of purification conditions for proteins O Garland, M Radaeva, M Pandey, A Cherkasov, N Lallous Database 2023, baad016, 2023 | 1 | 2023 |
| The use of computer-aided drug design methodology to target DNA-protein, RNA-protein and protein-protein interactions implicated in cancer M Radaeva UNIVERSITY OF BRITISH COLUMBIA (Vancouver, 2020 | 1 | 2020 |
| Targeting the translation initiation complex component eIF4G1 in melanoma Y Feng, M Radaeva, H Kim, A Deshpande, A Deshpande, P Jovanovic, ... Cancer Research 84 (6_Supplement), 2085-2085, 2024 | | 2024 |
| Optimization of Lin28 inhibitors: A promising therapeutic approach for the suppression of cancer cell proliferation, stemness properties, and spheroid growth VM Matias-Barrios, M Radaeva, G Rosellinny, A Cherkasov, X Dong Cancer Research 84 (6_Supplement), 1815-1815, 2024 | | 2024 |
| Deep Learning Model for Prediction of Compound Activities Over a Panel of Major Toxicity-Related Proteins M Radaeva, M Pandey, H MsLati, A Cherkasov Machine Learning and Deep Learning in Computational Toxicology, 579-593, 2023 | | 2023 |
