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Rayees Rahman
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Worldwide Frequencies of APOL1 Renal Risk Variants
GN Nadkarni, CR Gignoux, EP Sorokin, M Daya, R Rahman, KC Barnes, ...
New England Journal of Medicine 379 (26), 2571-2572, 2018
872018
Redefining the protein kinase conformational space with machine learning
PMU Ung, R Rahman, A Schlessinger
Cell chemical biology 25 (7), 916-924. e2, 2018
802018
Bow-tie signaling in c-di-GMP: Machine learning in a simple biochemical network
J Yan, M Deforet, KE Boyle, R Rahman, R Liang, C Okegbe, LEP Dietrich, ...
PLoS computational biology 13 (8), e1005677, 2017
482017
Association of autism spectrum disorder with prenatal exposure to medication affecting neurotransmitter systems
M Janecka, A Kodesh, SZ Levine, SI Lusskin, A Viktorin, R Rahman, ...
Jama Psychiatry 75 (12), 1217-1224, 2018
362018
Identification of newborns at risk for autism using electronic medical records and machine learning
R Rahman, A Kodesh, SZ Levine, S Sandin, A Reichenberg, ...
European Psychiatry 63 (1), e22, 2020
332020
Transcriptomic profiling of human cardiac cells predicts protein kinase inhibitor-associated cardiotoxicity
JGC van Hasselt, R Rahman, J Hansen, A Stern, JV Shim, Y Xiong, ...
Nature Communications 11 (1), 4809, 2020
312020
KinaMetrix: a web resource to investigate kinase conformations and inhibitor space
R Rahman, PMU Ung, A Schlessinger
Nucleic acids research 47 (D1), D361-D366, 2019
282019
Systems-level analysis of NalD mutation, a recurrent driver of rapid drug resistance in acute Pseudomonas aeruginosa infection
J Yan, H Estanbouli, C Liao, W Kim, JM Monk, R Rahman, M Kamboj, ...
PLoS computational biology 15 (12), e1007562, 2019
132019
Maternal health around pregnancy and autism risk: a diagnosis-wide, population-based study
A Kodesh, SZ Levine, V Khachadourian, R Rahman, A Schlessinger, ...
Psychological medicine 52 (16), 4076-4084, 2022
122022
Protein structure–based gene expression signatures
R Rahman, N Zatorski, J Hansen, Y Xiong, JGC van Hasselt, EA Sobie, ...
Proceedings of the National Academy of Sciences 118 (19), e2014866118, 2021
102021
Generation of G protein-coupled receptor antibodies differentially sensitive to conformational states
AS Heimann, A Gupta, I Gomes, R Rayees, A Schlessinger, ES Ferro, ...
PLoS One 12 (11), e0187306, 2017
102017
Investigating the conformational landscape of AlphaFold2-predicted protein kinase structures
C Al-Masri, F Trozzi, SH Lin, O Tran, N Sahni, M Patek, A Cichonska, ...
Bioinformatics Advances 3 (1), vbad129, 2023
32023
Preference Optimization for Molecular Language Models
R Park, R Theisen, N Sahni, M Patek, A Cichońska, R Rahman
arXiv preprint arXiv:2310.12304, 2023
22023
Maternal health around pregnancy and autism risk: a population-based study
A Kodesh, SZ Levine, V Khachadourian, R Rahman, A Schlessinger, ...
medRxiv, 2020.05. 19.20089581, 2020
22020
AI for targeted polypharmacology: The next frontier in drug discovery
A Cichońska, B Ravikumar, R Rahman
Current Opinion in Structural Biology 84, 102771, 2024
12024
Structural signatures: a web server for exploring a database of and generating protein structural features from human cell lines and tissues
N Zatorski, D Stein, R Rahman, R Iyengar, A Schlessinger
Database 2022, baac053, 2022
12022
Redefining the protein kinase conformational space with machine learning
PMU Ung, R Rahman, A Schlessinger
Biophysical Journal 116 (3), 58a-59a, 2019
12019
Leveraging multiple data types for improved compound-kinase bioactivity prediction
R Theisen, T Wang, B Ravikumar, R Rahman, A Cichońska
bioRxiv, 2024.03. 07.583951, 2024
2024
Maternal Medications in Pregnancy and Risk of Autism in the Offspring
V Khachadourian, N Zatorski, R Rahman, A Kodesh, S Levine, ...
NEUROPSYCHOPHARMACOLOGY 46 (SUPPL 1), 133-133, 2021
2021
Integrating Structure and Machine Learning to Characterize Drug Action
R Rahman
Icahn School of Medicine at Mount Sinai, 2020
2020
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Articles 1–20