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Rafael Silva-Rocha

Researcher at University of São Paulo

Publications -  66
Citations -  2243

Rafael Silva-Rocha is an academic researcher from University of São Paulo. The author has contributed to research in topics: Gene & Pseudomonas putida. The author has an hindex of 25, co-authored 58 publications receiving 1859 citations. Previous affiliations of Rafael Silva-Rocha include Federal University of Pará & Spanish National Research Council.

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The Standard European Vector Architecture (SEVA): a coherent platform for the analysis and deployment of complex prokaryotic phenotypes

TL;DR: It is argued that adoption of the SEVA format can become a shortcut to fill the phenomenal gap between the existing power of DNA synthesis and the actual engineering of predictable and efficacious bacteria.
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Noise and robustness in prokaryotic regulatory networks.

TL;DR: This review addresses the distinct role of network architecture and biochemical/kinetic parameters in the materialization of various archetypical robust gene expression circuits in prokaryotes.
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Comparative metabolism of cellulose, sophorose and glucose in Trichoderma reesei using high-throughput genomic and proteomic analyses

TL;DR: New players in cellulose degradation such as accessory proteins with non-catalytic functions secreted in different carbon sources, transporters, transcription factors, and CAZymes, that specifically respond in response to either cellulose or sophorose are revealed.
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The Post-genomic Era of Trichoderma reesei: What's Next?

TL;DR: An overview of new findings in the gene expression regulation network of T. reesei is presented and how synthetic biology strategies can be used to create engineered promoters to efficiently synthesize enzymes for biomass degradation to produce bioethanol is presented.
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Mining logic gates in prokaryotic transcriptional regulation networks.

TL;DR: It is argued that designing new functions with biological parts requires the recognition of logic gates not yet assigned but surely present in the meta‐genome, the orthogonalization and disambiguation of natural regulatory modules and the development of ways to tackle the connectivity and the definition of boundaries between minimal biological components.