Genomic and molecular landscape of DNA damage repair deficiency across the cancer genome atlas TA Knijnenburg, L Wang, MT Zimmermann, N Chambwe, GF Gao, ... Cell reports 23 (1), 239-254. e6, 2018 | 1019 | 2018 |
DeepAffinity: interpretable deep learning of compound–protein affinity through unified recurrent and convolutional neural networks M Karimi, D Wu, Z Wang, Y Shen Bioinformatics 35 (18), 3329-3338, 2019 | 499 | 2019 |
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 | 349 | 2019 |
The SERM/SERD bazedoxifene disrupts ESR1 helix 12 to overcome acquired hormone resistance in breast cancer cells SW Fanning, R Jeselsohn, V Dharmarajan, CG Mayne, M Karimi, ... Elife 7, e37161, 2018 | 101 | 2018 |
De novo protein design for novel folds using guided conditional Wasserstein generative adversarial networks M Karimi, S Zhu, Y Cao, Y Shen Journal of Chemical Information and Modeling 60 (12), 5667–5681, 2020 | 96 | 2020 |
Engineering a HER2-specific antibody–drug conjugate to increase lysosomal delivery and therapeutic efficacy JC Kang, W Sun, P Khare, M Karimi, X Wang, Y Shen, RJ Ober, ES Ward Nature biotechnology 37 (5), 523-526, 2019 | 89 | 2019 |
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 | 76 | 2021 |
Explainable Deep Relational Networks for Predicting Compound–Protein Affinities and Contacts M Karimi, D Wu, Z Wang, Y Shen Journal of Chemical Information and Modeling 61 (1), 46–66, 2020 | 55 | 2020 |
Multihypothesis compressed video sensing technique M Azghani, M Karimi, F Marvasti IEEE Transactions on Circuits and Systems for Video Technology 26 (4), 627-635, 2015 | 52 | 2015 |
Network-principled deep generative models for designing drug combinations as graph sets M Karimi, A Hasanzadeh, Y Shen Bioinformatics 36 (Supplement_1), i445-i454, 2020 | 33 | 2020 |
CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods Genome biology 25 (1), 53, 2024 | 28 | 2024 |
Evaluating the predictions of the protein stability change upon single amino acid substitutions for the FXN CAGI5 challenge C Savojardo, M Petrosino, G Babbi, S Bovo, C Corbi‐Verge, R Casadio, ... Human mutation 40 (9), 1392-1399, 2019 | 20 | 2019 |
iCFN: an efficient exact algorithm for multistate protein design M Karimi, Y Shen Bioinformatics 34 (17), i811-i820, 2018 | 16 | 2018 |
Predicting pathogenicity of missense variants with weakly supervised regression Y Cao, Y Sun, M Karimi, H Chen, O Moronfoye, Y Shen Human mutation 40 (9), 1579-1592, 2019 | 10 | 2019 |
Somatic estrogen receptor α mutations that induce dimerization promote receptor activity and breast cancer proliferation S Irani, W Tan, Q Li, W Toy, C Jones, M Gadiya, A Marra, ... The Journal of Clinical Investigation 134 (1), 2024 | 9 | 2024 |
Illegible text to readable text: An image-to-image transformation using conditional sliced wasserstein adversarial networks M Karimi, G Veni, YY Yu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 8 | 2020 |
Deploying self-supervised learning in the wild for hybrid automatic speech recognition M Karimi, C Liu, K Kumatani, Y Qian, T Wu, J Wu arXiv preprint arXiv:2205.08598, 2022 | 6 | 2022 |
Adversarial network for transforming handwritten text M Karimi, G Veni, YY Yu US Patent 11,551,034, 2023 | 5 | 2023 |
Directionally dependent multi-view clustering using copula model K Afrin, AS Iquebal, M Karimi, A Souris, SY Lee, BK Mallick PloS one 15 (10), e0238996, 2020 | 1 | 2020 |
Extrapolative protein design through triplet-based preference learning M Karimi, S Banerjee, T Jaakkola, B Dubrov, S Shang, R Benson ICML 2024 workshop on Foundation Models in the Wild, 2024 | | 2024 |