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Robin Green
Robin Green
Generate Biomedicines
Verified email at generatebiomedicines.com
Title
Cited by
Cited by
Year
Defining variant-resistant epitopes targeted by SARS-CoV-2 antibodies: A global consortium study
KM Hastie, H Li, D Bedinger, SL Schendel, SM Dennison, K Li, ...
Science 374 (6566), 472-478, 2021
2462021
Illuminating protein space with a programmable generative model
JB Ingraham, M Baranov, Z Costello, KW Barber, W Wang, A Ismail, ...
Nature 623 (7989), 1070-1078, 2023
1542023
Uncovering and resolving challenges of quantitative modeling in a simplified community of interacting cells
SFM Hart, H Mi, R Green, L Xie, JMB Pineda, B Momeni, W Shou
PLoS biology 17 (2), e3000135, 2019
372019
Metabolic excretion associated with nutrient–growth dysregulation promotes the rapid evolution of an overt metabolic defect
R Green, Sonal, L Wang, SFM Hart, W Lu, D Skelding, JC Burton, H Mi, ...
PLoS Biology 18 (8), e3000757, 2020
212020
Disentangling strictly self-serving mutations from win-win mutations in a mutualistic microbial community
SFM Hart, JMB Pineda, CC Chen, R Green, W Shou
Elife 8, e44812, 2019
162019
Characterization of Hydrogen Metabolism in the Multicellular Green Alga Volvox carteri
AJ Cornish, R Green, K Gärtner, S Mason, EL Hegg
PLoS One 10 (4), e0125324, 2015
82015
Resolving challenges in quantitative modeling of microbial community dynamics
SFM Hart, H Mi, R Green, L Xie, JM Bello Pineda, B Momeni, W Shou
bioRxiv, 356519, 2018
72018
Rapid evolution of an overt metabolic defect restores balanced growth
R Green, L Wang, SF Hart, W Lu, D Skelding, JC Burton
BioRxiv 17, 498543, 2018
42018
Modeling community population dynamics with the open-source language R
R Green, W Shou
Engineering and Analyzing Multicellular Systems: Methods and Protocols, 209-231, 2014
22014
Antigen Binding Molecules Targeting SARS-CoV-2
G Grigoryan, J Ingraham, CL Leung, RS Federman, RJ Green, AH Ramos, ...
US Patent App. 18/151,194, 2023
2023
Stress-induced metabolite release creates an ecological and evolutionary opportunity for restoring growth regulation
RJ Green
2018
Quantifying physiology-ecology feedback enables prediction of microbial community dynamics
SF Hart, H Mi, R Green, C Chen, J Pineda, B Momeni, W Shou
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