| MreB filaments align along greatest principal membrane curvature to orient cell wall synthesis S Hussain, CN Wivagg, P Szwedziak, F Wong, K Schaefer, T Izore, ... eLife 7, e32471, 2018 | 220 | 2018 |
| Benchmarking AlphaFold‐enabled molecular docking predictions for antibiotic discovery F Wong, A Krishnan, EJ Zheng, H Stärk, AL Manson, AM Earl, T Jaakkola, ... Molecular systems biology 18 (9), e11081, 2022 | 171 | 2022 |
| Leveraging artificial intelligence in the fight against infectious diseases F Wong, C de la Fuente-Nunez, JJ Collins Science 381 (6654), 164-170, 2023 | 165 | 2023 |
| Information integration and energy expenditure in gene regulation J Estrada, F Wong, A DePace, J Gunawardena Cell 166 (1), 234-244, 2016 | 165 | 2016 |
| Discovery of a structural class of antibiotics with explainable deep learning F Wong, EJ Zheng, JA Valeri, NM Donghia, MN Anahtar, S Omori, A Li, ... Nature 626 (7997), 177-185, 2024 | 162 | 2024 |
| Evidence that coronavirus superspreading is fat-tailed F Wong, JJ Collins Proceedings of the National Academy of Sciences 117 (47), 29416-29418, 2020 | 150 | 2020 |
| Cytoplasmic condensation induced by membrane damage is associated with antibiotic lethality F Wong, JM Stokes, B Cervantes, S Penkov, J Friedrichs, LD Renner, ... Nature communications 12 (1), 2321, 2021 | 83 | 2021 |
| A framework for modelling gene regulation which accommodates non-equilibrium mechanisms T Ahsendorf, F Wong, R Eils, J Gunawardena BMC biology 12, 1-23, 2014 | 76 | 2014 |
| Mechanical strain sensing implicated in cell shape recovery in Escherichia coli F Wong, LD Renner, G Özbaykal, J Paulose, DB Weibel, S van Teeffelen, ... Nature microbiology 2 (9), 17115, 2017 | 75 | 2017 |
| Gene regulation in and out of equilibrium F Wong, J Gunawardena Annual review of biophysics 49, 199-226, 2020 | 70 | 2020 |
| Mechanics and dynamics of bacterial cell lysis F Wong, A Amir Biophysical journal 116 (12), 2378-2389, 2019 | 53 | 2019 |
| Discovering small-molecule senolytics with deep neural networks F Wong, S Omori, NM Donghia, EJ Zheng, JJ Collins Nature Aging 3, 734-750, 2023 | 45 | 2023 |
| Machine learning for antimicrobial peptide identification and design F Wan, F Wong, JJ Collins, C de la Fuente-Nunez Nature Reviews Bioengineering 2 (5), 392-407, 2024 | 44 | 2024 |
| Increased energy demand from anabolic-catabolic processes drives β-lactam antibiotic lethality MA Lobritz, IW Andrews, D Braff, CBM Porter, A Gutierrez, Y Furuta, ... Cell chemical biology 29 (2), 276-286. e4, 2022 | 42 | 2022 |
| Mechanics and dynamics of translocating MreB filaments on curved membranes F Wong, EC Garner, A Amir eLife 8, e40472, 2019 | 42 | 2019 |
| Structural conditions on complex networks for the Michaelis–Menten input–output response F Wong, A Dutta, D Chowdhury, J Gunawardena Proceedings of the National Academy of Sciences 115 (39), 9738-9743, 2018 | 39 | 2018 |
| Energy-speed-accuracy relation in complex networks for biological discrimination F Wong, A Amir, J Gunawardena Physical Review E 98 (1), 012420, 2018 | 35 | 2018 |
| Allosteric conformational ensembles have unlimited capacity for integrating information JW Biddle, R Martinez-Corral, F Wong, J Gunawardena Elife 10, e65498, 2021 | 34 | 2021 |
| Reactive metabolic byproducts contribute to antibiotic lethality under anaerobic conditions F Wong, JM Stokes, SC Bening, C Vidoudez, SA Trauger, JJ Collins Molecular cell 82 (18), 3499-3512. e10, 2022 | 27 | 2022 |
| BioAutoMATED: an end-to-end automated machine learning tool for explanation and design of biological sequences JA Valeri, LR Soenksen, KM Collins, P Ramesh, G Cai, R Powers, ... Cell systems 14 (6), 525-542. e9, 2023 | 24 | 2023 |
James J CollinsMIT; Wyss Institute, Harvard; Broad Institute of MIT & HarvardPatvirtintas el. paštas mit.edu