37 results on '"Oyarzún, Diego A."'
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2. Integration of graph neural networks and genome-scale metabolic models for predicting gene essentiality
3. Vaxformer: Antigenicity-controlled Transformer for Vaccine Design Against SARS-CoV-2
4. Optimisation of surfactin yield in Bacillus using data-efficient active learning and high-throughput mass spectrometry
5. A call for caution when using network methods to study multimorbidity: an illustration using data from the Canadian Longitudinal Study on Aging
6. Guiding a language-model based protein design method towards MHC Class-I immune-visibility targets in vaccines and therapeutics
7. Discovery of senolytics using machine learning
8. Publisher Correction: Accuracy and data efficiency in deep learning models of protein expression
9. High-performance aqueous zinc-ion hybrid capacitors based on 3D printed metal-organic framework cathodes
10. Deep learning for optimization of protein expression
11. Electrolyzer energy dominates separation costs in state-of-the-art CO2 electrolyzers: Implications for single-pass CO2 utilization
12. Microbial polysaccharides: An emerging family of natural biomaterials for cancer therapy and diagnostics
13. Vegetable filters reinforced with fibrillated cellulose for iron removal from water and organic white wines
14. Modeling isogenic cancer cell response upon varying TRAIL stimulations to decipher the kinetic determinants of cell fate decision
15. Prediction of gene essentiality using machine learning and genome-scale metabolic models
16. Integrated methylome and phenome study of the circulating proteome reveals markers pertinent to brain health
17. Accuracy and data efficiency in deep learning models of protein expression
18. Integrating MHC Class I visibility targets into the ProteinMPNN protein design process
19. Green hydrogen production by photovoltaic-assisted alkaline water electrolysis: A review on the conceptualization and advancements
20. Modelling dynamic host-pathway interactions at the genome scale
21. Applications of artificial intelligence and machine learning in dynamic pathway engineering
22. Integration of graph neural networks and genome-scale metabolic models for predicting gene essentiality
23. Bayesian Optimization for Design of Multiscale Biological Circuits
24. Discovery of new senolytics using machine learning
25. Discovery of senolytics using machine learning
26. Code and data for 'Discovery of senolytics using machine learning' [Dataset]
27. P1 Bacteriophage-Enabled Delivery of CRISPR-Cas9 Antimicrobial Activity Against Shigella flexneri
28. Preparation of functional coating films using breath figure (BF) method and the study of morphological, optical and wettability behavior with varying experimental conditions
29. Low-dimensional representations of genome-scale metabolism
30. Microporous hybrid films from amphiphilic copolymers: surface coated with ZnS nanoparticles using the breath figure (BF) methodology
31. P1 bacteriophage-enabled delivery of CRISPR-Cas9 antimicrobial activity against Shigella flexneri
32. Discovery of new senolytics using machine learning
33. Stabilization of antithetic control via molecular buffering
34. Design and Study of a Photo-Switchable Polymeric System in the Presence of ZnS Nanoparticles under the Influence of UV Light Irradiation
35. Trade-Offs in Biosensor Optimization for Dynamic Pathway Engineering.
36. Discovery of new senolytics using machine learning
37. A Machine Learning Approach for Predicting Essentiality of Metabolic Genes.
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