Bacteriophage Genetic Edition Using LSTM

Autor: Shabnam Ataee, Xavier Brochet, Carlos Andrés Peña-Reyes

Publikováno v: Frontiers in Bioinformatics, Vol 2 (2022)

Bacteriophages are gaining increasing interest as antimicrobial tools, largely due to the emergence of multi-antibiotic–resistant bacteria. Although their huge diversity and virulence make them particularly attractive for targeting a wide range of

Externí odkaz: https://doaj.org/article/1890a6a562b64be4a61e07b7c4b538b2

Computational prediction of inter-species relationships through omics data analysis and machine learning

Autor: Diogo Manuel Carvalho Leite, Xavier Brochet, Grégory Resch, Yok-Ai Que, Aitana Neves, Carlos Peña-Reyes

Publikováno v: BMC Bioinformatics, Vol 19, Iss S14, Pp 151-159 (2018)

Abstract Background Antibiotic resistance and its rapid dissemination around the world threaten the efficacy of currently-used medical treatments and call for novel, innovative approaches to manage multi-drug resistant infections. Phage therapy, i.e.

Externí odkaz: https://doaj.org/article/247e50dca2c64f40b60037ccac4a390e

Extraction of Natural Fragrance Ingredients: History Overview and Future Trends

Autor: Xavier Brochet, Pauline Burger, Hortense Plainfosse, Xavier Fernandez, Farid Chemat

Publikováno v: Chemistry and Biodiversity
Chemistry and Biodiversity, Wiley, 2019, 16, 30 p. ⟨10.1002/cbdv.201900424⟩

International audience; For centuries, perfumes consisted in a combination of natural ingredients, mainly of plant origin. From the 19th century on, the advent of organic synthesis enabled the deployment of multiple synthetic olfactory notes, enrichi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23ad0c12767e1991068d8f9167af2e1a
https://pubmed.ncbi.nlm.nih.gov/31419369

Computational prediction of inter-species relationships through omics data analysis and machine learning

Autor: Yok-Ai Que, Carlos Andrés Peña-Reyes, Aitana Neves, Xavier Brochet, Diogo Manuel Carvalho Leite, Grégory Resch

Publikováno v: BMC Bioinformatics, vol. 19, no. Suppl 14, pp. 420
Leite, Diogo Manuel Carvalho; Brochet, Xavier; Resch, Grégory; Que, Yok-Ai; Neves, Aitana; Peña-Reyes, Carlos (2018). Computational prediction of inter-species relationships through omics data analysis and machine learning. BMC bioinformatics, 19(Suppl 14), p. 420. BioMed Central 10.1186/s12859-018-2388-7
BMC Bioinformatics
BMC Bioinformatics, Vol 19, Iss S14, Pp 151-159 (2018)

Background Antibiotic resistance and its rapid dissemination around the world threaten the efficacy of currently-used medical treatments and call for novel, innovative approaches to manage multi-drug resistant infections. Phage therapy, i.e., the use

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6703b17ca72e5aff970420a44302e755
https://doi.org/10.1186/s12859-018-2388-7

Functional insights into the core-TFIIH from a comparative survey

Autor: Odile Lecompte, Florence Bedez, Julie D. Thompson, Raymond Ripp, Benjamin Linard, Olivier Poch, Xavier Brochet, Dino Moras

Publikováno v: Genomics
Genomics, Elsevier, 2013, 101 (3), pp.178-186. ⟨10.1016/j.ygeno.2012.11.003⟩

International audience; TFIIH is a eukaryotic complex composed of two subcomplexes, the CAK (Cdk activating kinase) and the core-TFIIH. The core-TFIIH, composed of seven subunits (XPB, XPD, P62, P52, P44, P34, and P8), plays a crucial role in transcr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec4406c7ad5941f67c4e75b1e4c8d08a