Diego A Oyarzún

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Guy-Bart StanProfessor of BioSystems Engineering and Control, RAEng Chair, Bioengineering, Imperial CollegeVerified email at imperial.ac.uk
Ahmad Abdullah MannanResearch Associate, Department of BioengineeringVerified email at imperial.ac.uk
Andrea Y. WeißeUniversity of EdinburghVerified email at ed.ac.uk
Fuzhong ZhangProfessor, Washington University in St. LouisVerified email at seas.wustl.edu
Madalena ChavesINRIA Sophia AntipolisVerified email at inria.fr
Di LiuSandia National Laboratories, Washington University in St. LouisVerified email at wustl.edu
Richard MiddletonProfessor, University of NewcastleVerified email at newcastle.edu.au
Fernando López-CaamalUniversidad de GuanajuatoVerified email at ugto.mx
Steffen WaldherrUniversity of ViennaVerified email at univie.ac.at
Jesús PicóProfessor of Automatic Control, Universitat Politècnica de ValènciaVerified email at ai2.upv.es
Vincent DanosDirecteur de Recherches CNRS Ecole Normale SupérieureVerified email at ens.fr
Peter SwainUniversity of EdinburghVerified email at ed.ac.uk
Jean-Baptiste LugagneUniversity of OxfordVerified email at eng.ox.ac.uk
Jose RodriguezProfessor, Engineering Faculty, Universidad San SebastianVerified email at uss.cl
Pablo LezanaUniversidad Técnica Federico Santa MariaVerified email at usm.cl
Brian P IngallsProfessor of Applied Mathematics, University of WaterlooVerified email at uwaterloo.ca
Míriam R. GarcíaTenured Scientist. Biosystems & Bioprocess Engineering. IIM-CSICVerified email at iim.csic.es
Alejandro VignoniResearch Scientist, Synthetic Biology and Biosystems Control Group - Univesitat Politécnica deVerified email at upv.es
Andres PetersFaculty of Engineering and Sciences, Universidad Adolfo IbáñezVerified email at uai.cl

Diego A Oyarzún

University of Edinburgh

Verified email at ed.ac.uk - Homepage

Machine learning control theory systems biology synthetic biology theoretical biology


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Mechanistic links between cellular trade-offs, gene expression, and growth AY Weiße, DA Oyarzún, V Danos, PS Swain Proceedings of the National Academy of Sciences 112 (9), E1038-E1047, 2015	417	2015
Cascaded multilevel inverter with regeneration capability and reduced number of switches P Lezana, J Rodríguez, DA Oyarzún IEEE Transactions on Industrial Electronics 55 (3), 1059-1066, 2008	312	2008
Fundamental design principles for transcription-factor-based metabolite biosensors AA Mannan, D Liu, F Zhang, DA Oyarzún ACS synthetic biology 6 (10), 1851-1859, 2017	193	2017
Pathways to cellular supremacy in biocomputing L Grozinger, M Amos, TE Gorochowski, P Carbonell, DA Oyarzún, R Stoof, ... Nature communications 10 (1), 5250, 2019	151	2019
The power of synthetic biology for bioproduction, remediation and pollution control V Lorenzo, KL Prather, G Chen, E O’Day, C Kameke, DA Oyarzún, ... EMBO Rep 19 (4), 4-9, 2018	119*	2018
Dynamic optimization of metabolic networks coupled with gene expression S Waldherr, DA Oyarzún, A Bockmayr Journal of theoretical biology 365, 469-485, 2015	113	2015
Dynamic metabolic control: towards precision engineering of metabolism D Liu, AA Mannan, Y Han, DA Oyarzún, F Zhang Journal of Industrial Microbiology and Biotechnology 45 (7), 535-543, 2018	105	2018
Noise propagation in synthetic gene circuits for metabolic control DA Oyarzún, JB Lugagne, GBV Stan ACS synthetic biology 4 (2), 116-125, 2015	83	2015
Synthetic gene circuits for metabolic control: design trade-offs and constraints DA Oyarzún, GBV Stan Journal of The Royal Society Interface 10 (78), 20120671, 2013	78	2013
Growth defects and loss-of-function in synthetic gene circuits EM Nikolados, AY Weiße, F Ceroni, DA Oyarzún ACS synthetic biology 8 (6), 1231-1240, 2019	68	2019
Sequential activation of metabolic pathways: a dynamic optimization approach DA Oyarzún, BP Ingalls, RH Middleton, D Kalamatianos Bulletin of mathematical biology 71 (8), 1851-1872, 2009	55	2009
A stochastic model of gene expression with polymerase recruitment and pause release Z Cao, T Filatova, DA Oyarzún, R Grima Biophysical Journal 119 (5), 1002-1014, 2020	49*	2020
Stochastic modelling reveals mechanisms of metabolic heterogeneity MK Tonn, P Thomas, M Barahona, DA Oyarzún Communications biology 2 (1), 108, 2019	49	2019
Flux-dependent graphs for metabolic networks M Beguerisse-Díaz, G Bosque, D Oyarzún, J Picó, M Barahona NPJ systems biology and applications 4 (1), 32, 2018	40	2018
Shaping Pulses to Control Bistable Systems: Analysis, Computation and Counterexamples A Sootla, DA Oyarzun, D Angeli, GB Stan Automatica 63, 254-264, 2016	38	2016
Discovery of senolytics using machine learning V Smer-Barreto, A Quintanilla, RJR Elliott, JC Dawson, J Sun, VM Campa, ... Nature Communications 14 (1), 3445, 2023	37	2023
Accuracy and data efficiency in deep learning models of protein expression EM Nikolados, A Wongprommoon, OM Aodha, G Cambray, DA Oyarzún Nature Communications 13 (1), 1-12, 2022	37*	2022
Multistability and oscillations in genetic control of metabolism DA Oyarzún, M Chaves, M Hoff-Hoffmeyer-Zlotnik Journal of Theoretical Biology 295, 139-153, 2012	35	2012
Design of a bistable switch to control cellular uptake DA Oyarzún, M Chaves Journal of The Royal Society Interface 12 (113), 20150618, 2015	32	2015
Microbial polysaccharides: An emerging family of natural biomaterials for cancer therapy and diagnostics VK Sharma, X Liu, DA Oyarzún, AM Abdel-Azeem, AG Atanasov, ... Seminars in Cancer Biology 86, 706-731, 2022	31	2022

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