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Mostafa Karimi
Mostafa Karimi
Senior Applied Scientist in Amazon
Verified email at amazon.com - Homepage
Title
Cited by
Cited by
Year
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
9062018
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
3992019
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
2972019
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
892018
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
822020
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
722019
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
632021
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
472015
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
452020
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
302020
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
192019
iCFN: an efficient exact algorithm for multistate protein design
M Karimi, Y Shen
Bioinformatics 34 (17), i811-i820, 2018
162018
CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods
Genome Biology 25 (1), 53, 2024
10*2024
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
102019
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
72020
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
52022
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
32024
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
12020
Adversarial network for transforming handwritten text
M Karimi, G Veni, YY Yu
US Patent 11,551,034, 2023
2023
Processes, machines, and articles of manufacture related to machine learning for predicting bioactivity of compounds
H Hei TAM, V SHIVASHANKAR, N SANDERS, T LANE, D KOLESKY, ...
WO Patent App. 2022240751A1, 2022
2022
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