Comprehensive AAV capsid fitness landscape reveals a viral gene and enables machine-guided design PJ Ogden*, ED Kelsic*, S Sinai, GM Church Science 366 (6469), 1139-1143, 2019 | 348 | 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), 1-17, 2019 | 315 | 2019 |
Deep diversification of an AAV capsid protein by machine learning DH Bryant*, A Bashir*, S Sinai*, NK Jain, PJ Ogden, PF Riley, GM Church, ... Nature Biotechnology, 1-6, 2021 | 279 | 2021 |
Variational auto-encoding of protein sequences S Sinai, E Kelsic, GM Church, MA Nowak NeurIPS 2017 MLCB workshop, 2017 | 83 | 2017 |
AdaLead: A simple and robust adaptive greedy search algorithm for sequence design S Sinai*, R Wang*, A Whatley*, S Slocum, E Locane, ED Kelsic arXiv preprint arXiv:2010.02141, 2020 | 79 | 2020 |
A primer on model-guided exploration of fitness landscapes for biological sequence design S Sinai, ED Kelsic arXiv preprint arXiv:2010.10614, 2020 | 33 | 2020 |
Generative AAV capsid diversification by latent interpolation S Sinai, N Jain, GM Church, ED Kelsic bioRxiv, 2021.04. 16.440236, 2021 | 29 | 2021 |
Computer simulations of cellular group selection reveal mechanism for sustaining cooperation AJ Markvoort, S Sinai, MA Nowak Journal of theoretical biology 357, 123-133, 2014 | 27 | 2014 |
Protein design using structure-based residue preferences D Ding, AY Shaw, S Sinai, N Rollins, N Prywes, DF Savage, MT Laub, ... Nature Communications 15 (1), 1639, 2024 | 19* | 2024 |
Overcoming immunological challenges limiting capsid-mediated gene therapy with machine learning AZ Wec, KS Lin, JC Kwasnieski, S Sinai, J Gerold, ED Kelsic Frontiers in Immunology 12, 674021, 2021 | 19 | 2021 |
Turbulent coherent structures and early life below the Kolmogorov scale MS Krieger, S Sinai, MA Nowak Nature communications 11 (1), 2192, 2020 | 16 | 2020 |
Primordial sex facilitates the emergence of evolution S Sinai*, J Olejarz*, IA Neagu, MA Nowak Journal of The Royal Society Interface 15 (139), 20180003, 2018 | 10 | 2018 |
Prebiotic selection for motifs in a model of template-free elongation of polymers within compartments G Kinsler*, S Sinai*, NK Lee, MA Nowak PloS one 12 (7), e0180208, 2017 | 7 | 2017 |
Forecasting labels under distribution-shift for machine-guided sequence design LB Wheelock, S Malina, J Gerold, S Sinai Machine Learning in Computational Biology, 166-180, 2022 | 3 | 2022 |
Deep Search: Next-Gen Strategies for Accelerating AAV Capsid Engineering E Kelsic, S Sinai, P Ogden, M Nowak, G Church MOLECULAR THERAPY 26 (5), 168-168, 2018 | 2 | 2018 |
BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery PS John, D Lin, P Binder, M Greaves, V Shah, JS John, A Lange, P Hsu, ... arXiv preprint arXiv:2411.10548, 2024 | 1 | 2024 |
Contrastive losses as generalized models of global epistasis DH Brookes, J Otwinowski, S Sinai arXiv preprint arXiv:2305.03136, 2023 | 1 | 2023 |
Viral vectors exhibiting improved gene delivery properties GM Church, E Kelsic, P Ogden, S Sinai US Patent App. 17/055,318, 2021 | 1 | 2021 |
Efficient design of optimized AAV capsids using multi-property machine learning models trained across cells, organs and species S Abestesh, I Akartuna, A Brown, M Cramer, F Damani, J Gerold, J Gorns, ... MOLECULAR THERAPY 29 (4), 12-12, 2021 | 1 | 2021 |
Dyno eCap 1 capsid: an optimized IVT delivered AAV capsid with improved retinal cell targeting for wetAMD, GA, glaucoma and IRD gene therapies A Miles, H Turunen, B Diaz-Rohrer, S Hilton, S Chen, K Maryak, S Sinai, ... Investigative Ophthalmology & Visual Science 65 (7), 6085-6085, 2024 | | 2024 |