Setting patterns and predicting [Editorial]: the role of artificial intelligence in synthetic and natural promoter screening (2019)
- Authors:
- USP affiliated authors: ROCHA, RAFAEL SILVA - FMRP ; MEDEIROS, ANANDA SANCHES - FMRP ; SANTANA, LEONARDO MARTINS - FMRP
- Unidade: FMRP
- DOI: 10.21037/jmai.2019.11.01
- Subjects: INTELIGÊNCIA ARTIFICIAL; BIOENGENHARIA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Journal of Medical Artificial Intelligence
- ISSN: 2617-2496
- Volume/Número/Paginação/Ano: v. 2, art. 25, [5] p., 2019
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by-nc-nd
-
ABNT
SANCHES-MEDEIROS, Ananda e SANTANA, Leonardo Martins e SILVA-ROCHA, Rafael. Setting patterns and predicting [Editorial]: the role of artificial intelligence in synthetic and natural promoter screening. Journal of Medical Artificial Intelligence. Shatin: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.21037/jmai.2019.11.01. Acesso em: 18 nov. 2024. , 2019 -
APA
Sanches-Medeiros, A., Santana, L. M., & Silva-Rocha, R. (2019). Setting patterns and predicting [Editorial]: the role of artificial intelligence in synthetic and natural promoter screening. Journal of Medical Artificial Intelligence. Shatin: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.21037/jmai.2019.11.01 -
NLM
Sanches-Medeiros A, Santana LM, Silva-Rocha R. Setting patterns and predicting [Editorial]: the role of artificial intelligence in synthetic and natural promoter screening [Internet]. Journal of Medical Artificial Intelligence. 2019 ; 2 [5] .[citado 2024 nov. 18 ] Available from: https://doi.org/10.21037/jmai.2019.11.01 -
Vancouver
Sanches-Medeiros A, Santana LM, Silva-Rocha R. Setting patterns and predicting [Editorial]: the role of artificial intelligence in synthetic and natural promoter screening [Internet]. Journal of Medical Artificial Intelligence. 2019 ; 2 [5] .[citado 2024 nov. 18 ] Available from: https://doi.org/10.21037/jmai.2019.11.01 - Development of novel model for bacterial promoter prediction
- Expanding the toolbox of broad host-range transcriptional terminators for proteobacteria through metagenomics
- Unraveling the complex interplay of Fis and IHF through synthetic promoter engineering
- Accessing transcriptional regulation of Escherichia coli biofilm formation using promoter and genomic libraries
- Reverse engineering of an aspirin-responsive transcriptional regulator in Escherichia coli
- Synthetic and minimalist vectors for Agrobacterium tumefaciens-mediated transformation of fungi
- Application of synthetic biology in the construction of genetic circuit to improve the antitumor effect of Salmonella spp
- Design of a new bacterial expression system induced by a FDA approved drug using computational approaches
- Development of a computational tool for promoter strength prediction in Escherichia coli
- High-resolution analysis of the m-xylene/toluene biodegradation subtranscriptome of Pseudomonas putida mt-2
Informações sobre o DOI: 10.21037/jmai.2019.11.01 (Fonte: oaDOI API)
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