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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Bayesian Optimization for Design of Multiscale Biological Circuits
Charlotte Merzbacher, Oisin Mac Aodha, Diego A. Oyarzún
ACS Synthetic Biology (2023) Vol. 12, Iss. 7, pp. 2073-2082
Open Access | Times Cited: 9
Charlotte Merzbacher, Oisin Mac Aodha, Diego A. Oyarzún
ACS Synthetic Biology (2023) Vol. 12, Iss. 7, pp. 2073-2082
Open Access | Times Cited: 9
Showing 9 citing articles:
Mid–Long Chain Dicarboxylic Acid Production via Systems Metabolic Engineering: Progress and Prospects
Shanna Gu, Fuzhou Zhu, Lin Zhang, et al.
Journal of Agricultural and Food Chemistry (2024) Vol. 72, Iss. 11, pp. 5555-5573
Closed Access | Times Cited: 5
Shanna Gu, Fuzhou Zhu, Lin Zhang, et al.
Journal of Agricultural and Food Chemistry (2024) Vol. 72, Iss. 11, pp. 5555-5573
Closed Access | Times Cited: 5
Deep learning for optimization of protein expression
Evangelos-Marios Nikolados, Diego A. Oyarzún
Current Opinion in Biotechnology (2023) Vol. 81, pp. 102941-102941
Open Access | Times Cited: 11
Evangelos-Marios Nikolados, Diego A. Oyarzún
Current Opinion in Biotechnology (2023) Vol. 81, pp. 102941-102941
Open Access | Times Cited: 11
Applications of artificial intelligence and machine learning in dynamic pathway engineering
Charlotte Merzbacher, Diego A. Oyarzún
Biochemical Society Transactions (2023) Vol. 51, Iss. 5, pp. 1871-1879
Open Access | Times Cited: 9
Charlotte Merzbacher, Diego A. Oyarzún
Biochemical Society Transactions (2023) Vol. 51, Iss. 5, pp. 1871-1879
Open Access | Times Cited: 9
Optimisation of surfactin yield in Bacillus using data-efficient active learning and high-throughput mass spectrometry
Ricardo Valencia Albornoz, Diego A. Oyarzún, Karl Burgess
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 1226-1233
Open Access | Times Cited: 2
Ricardo Valencia Albornoz, Diego A. Oyarzún, Karl Burgess
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 1226-1233
Open Access | Times Cited: 2
Machine learning framework to extract the biomarker potential of plasma IgG N-glycans towards disease risk stratification
Konstantinos Flevaris, Joseph E. Davies, Shoh Nakai, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 1234-1243
Open Access | Times Cited: 1
Konstantinos Flevaris, Joseph E. Davies, Shoh Nakai, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 1234-1243
Open Access | Times Cited: 1
Modelling dynamic host-pathway interactions at the genome scale
Charlotte Merzbacher, Oisin Mac Aodha, Diego A. Oyarzún
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Charlotte Merzbacher, Oisin Mac Aodha, Diego A. Oyarzún
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Accelerating Cell Culture Media Development Using Bayesian Optimization-Based Iterative Experimental Design
Harini Narayanan, Joshua Hinckley, R.A. Barry, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Harini Narayanan, Joshua Hinckley, R.A. Barry, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Optimisation of surfactin yield in Bacillus using active learning and high-throughput mass spectrometry
Ricardo Gabriel Valencia Albornoz, Diego A. Oyarzún, Karl Burgess
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Ricardo Gabriel Valencia Albornoz, Diego A. Oyarzún, Karl Burgess
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Refining Hydrogel-based Sorbent Design for Efficient Toxic Metal Removal Using Machine Learning-Bayesian Optimization
Jing Zhang, Kaixing Fu, Dawei Wang, et al.
Journal of Hazardous Materials (2024) Vol. 479, pp. 135688-135688
Closed Access
Jing Zhang, Kaixing Fu, Dawei Wang, et al.
Journal of Hazardous Materials (2024) Vol. 479, pp. 135688-135688
Closed Access