Author

Mariia Radaeva

University of British ColumbiaORCID 0000-0002-1707-9304Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Assay:bulk RNA-seq· 1 Organism:human· 1 Assay:protein structure· 1 Approach:statistical model· 1

Frequent Co-Authors

Artem R CherkasoviD· 2 shared Aagam S. ShahiD· 1 shared Alfredo MolinoloiD· 1 shared Aniruddha J. DeshpandeiD· 1 shared Cristina Ferrone· 1 shared Eduard A. SergienkoiD· 1 shared Eytan RuppiniD· 1 shared Hazem MslatiiD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersCancer Biology

Artem R CherkasovORCID

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2 papers

Recent·Most cited

Targeting the translation initiation complex in therapy-resistant and metastatic melanoma

Yongmei Feng, Ximena Diaz-Olea, Xiurong Ke, Mariia Radaeva, Mehdi Amiri, Hyunjeong Joo, Maryam Jafari, Hyungsoo Kim, Aniruddha J. Deshpande, Steven H. Olson, Predrag Jovanović, Yangqi Su, Aagam S. Shah, Ian Pass, Qiyun Deng, , Ze’ev A. Ronai

This study identifies M19-6 as a small molecule that disrupts the eIF4F complex, reducing melanoma growth and metastasis while sparing melanocytes.

bioRxiv · Nov 20, 2024 · PreprintCancer Biology

Ligand Binding Prediction using Protein Structure Graphs and Residual Graph Attention Networks

Mohit Kumar Pandey, Mariia Radaeva, Hazem Mslati, Olivia Garland, Michael Fernández, Martin Ester, Artem R Cherkasov

The paper develops a deep learning model to predict ligand-target interactions using protein structure graphs and attention mechanisms, achieving state-of-the-art performance on benchmark datasets.

Molecules · Aug 11, 2022Peer-reviewedBioinformatics