Radivojevic T[au] - Search Results

Year	Number of Results
1954	1
2014	2
2017	1
2019	1
2020	3
2021	2
2022	1
2023	2
2024	0

1

Perspectives for self-driving labs in synthetic biology.

Martin HG, Radivojevic T, Zucker J, Bouchard K, Sustarich J, Peisert S, Arnold D, Hillson N, Babnigg G, Marti JM, Mungall CJ, Beckham GT, Waldburger L, Carothers J, Sundaram S, Agarwal D, Simmons BA, Backman T, Banerjee D, Tanjore D, Ramakrishnan L, Singh A. Martin HG, et al. Among authors: radivojevic t. Curr Opin Biotechnol. 2023 Feb;79:102881. doi: 10.1016/j.copbio.2022.102881. Epub 2023 Jan 3. Curr Opin Biotechnol. 2023. PMID: 36603501 Free article. Review.

2

Machine learning for metabolic engineering: A review.

Lawson CE, Martí JM, Radivojevic T, Jonnalagadda SVR, Gentz R, Hillson NJ, Peisert S, Kim J, Simmons BA, Petzold CJ, Singer SW, Mukhopadhyay A, Tanjore D, Dunn JG, Garcia Martin H. Lawson CE, et al. Among authors: radivojevic t. Metab Eng. 2021 Jan;63:34-60. doi: 10.1016/j.ymben.2020.10.005. Epub 2020 Nov 19. Metab Eng. 2021. PMID: 33221420 Free article. Review.

3

A machine learning Automated Recommendation Tool for synthetic biology.

Radivojević T, Costello Z, Workman K, Garcia Martin H. Radivojević T, et al. Nat Commun. 2020 Sep 25;11(1):4879. doi: 10.1038/s41467-020-18008-4. Nat Commun. 2020. PMID: 32978379 Free PMC article.

4

MACAW: An Accessible Tool for Molecular Embedding and Inverse Molecular Design.

Blay V, Radivojevic T, Allen JE, Hudson CM, Garcia Martin H. Blay V, et al. Among authors: radivojevic t. J Chem Inf Model. 2022 Aug 8;62(15):3551-3564. doi: 10.1021/acs.jcim.2c00229. Epub 2022 Jul 20. J Chem Inf Model. 2022. PMID: 35857932 Free PMC article.

5

BayFlux: A Bayesian method to quantify metabolic Fluxes and their uncertainty at the genome scale.

Backman TWH, Schenk C, Radivojevic T, Ando D, Singh J, Czajka JJ, Costello Z, Keasling JD, Tang Y, Akhmatskaya E, Garcia Martin H. Backman TWH, et al. Among authors: radivojevic t. PLoS Comput Biol. 2023 Nov 10;19(11):e1011111. doi: 10.1371/journal.pcbi.1011111. eCollection 2023 Nov. PLoS Comput Biol. 2023. PMID: 37948450 Free PMC article.

6

Opportunities at the Intersection of Synthetic Biology, Machine Learning, and Automation.

Carbonell P, Radivojevic T, García Martín H. Carbonell P, et al. Among authors: radivojevic t. ACS Synth Biol. 2019 Jul 19;8(7):1474-1477. doi: 10.1021/acssynbio.8b00540. ACS Synth Biol. 2019. PMID: 31319671

7

Combining mechanistic and machine learning models for predictive engineering and optimization of tryptophan metabolism.

Zhang J, Petersen SD, Radivojevic T, Ramirez A, Pérez-Manríquez A, Abeliuk E, Sánchez BJ, Costello Z, Chen Y, Fero MJ, Martin HG, Nielsen J, Keasling JD, Jensen MK. Zhang J, et al. Among authors: radivojevic t. Nat Commun. 2020 Sep 25;11(1):4880. doi: 10.1038/s41467-020-17910-1. Nat Commun. 2020. PMID: 32978375 Free PMC article.

8

Multiomics Data Collection, Visualization, and Utilization for Guiding Metabolic Engineering.

Roy S, Radivojevic T, Forrer M, Marti JM, Jonnalagadda V, Backman T, Morrell W, Plahar H, Kim J, Hillson N, Garcia Martin H. Roy S, et al. Among authors: radivojevic t. Front Bioeng Biotechnol. 2021 Feb 9;9:612893. doi: 10.3389/fbioe.2021.612893. eCollection 2021. Front Bioeng Biotechnol. 2021. PMID: 33634086 Free PMC article.

9

Adaptive Splitting Integrators for Enhancing Sampling Efficiency of Modified Hamiltonian Monte Carlo Methods in Molecular Simulation.

Akhmatskaya E, Fernández-Pendás M, Radivojević T, Sanz-Serna JM. Akhmatskaya E, et al. Among authors: radivojevic t. Langmuir. 2017 Oct 24;33(42):11530-11542. doi: 10.1021/acs.langmuir.7b01372. Epub 2017 Aug 2. Langmuir. 2017. PMID: 28689416

10

Constant pressure hybrid Monte Carlo simulations in GROMACS.

Fernández-Pendás M, Escribano B, Radivojević T, Akhmatskaya E. Fernández-Pendás M, et al. Among authors: radivojevic t. J Mol Model. 2014 Dec;20(12):2487. doi: 10.1007/s00894-014-2487-y. Epub 2014 Nov 19. J Mol Model. 2014. PMID: 25408507

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