Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Anne-Florence Bitbol"'
Autor:
Benjamin Spreng, Hélène Berthoumieux, Astrid Lambrecht, Anne-Florence Bitbol, Paulo Maia Neto, Serge Reynaud
Publikováno v:
New Journal of Physics, Vol 26, Iss 1, p 013009 (2024)
The electromagnetic Casimir interaction between dielectric objects immersed in salted water includes a universal contribution that is not screened by the solvent and therefore long-ranged. Here, we study the geometry of two parallel dielectric cylind
Externí odkaz:
https://doaj.org/article/968c95e969834474bc15b7a4a30acaad
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022)
Protein language models taking multiple sequence alignments as inputs capture protein structure and mutational effects. Here, the authors show that these models also encode phylogenetic relationships, and can disentangle correlations due to structura
Externí odkaz:
https://doaj.org/article/0db1804a936447da86e928752078bb1b
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 3, p e1011010 (2023)
Predicting protein-protein interactions from sequences is an important goal of computational biology. Various sources of information can be used to this end. Starting from the sequences of two interacting protein families, one can use phylogeny or re
Externí odkaz:
https://doaj.org/article/0065f29ea8cc4c08b6f8754f7069ec1f
Publikováno v:
eLife, Vol 12 (2023)
Computational models starting from large ensembles of evolutionarily related protein sequences capture a representation of protein families and learn constraints associated to protein structure and function. They thus open the possibility for generat
Externí odkaz:
https://doaj.org/article/e70f27eb796c4ed0a4fedfe5369ddcb7
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-19 (2022)
Abstract Despite the structural and functional information contained in the statistical coupling between pairs of residues in a protein, coevolution associated with function is often obscured by artifactual signals such as genetic drift, which shapes
Externí odkaz:
https://doaj.org/article/e2a7e865263d40a9aab2c63c72273acb
Autor:
Philippe Ortet, Sylvain Fochesato, Anne-Florence Bitbol, David E. Whitworth, David Lalaouna, Catherine Santaella, Thierry Heulin, Wafa Achouak, Mohamed Barakat
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract Two-component systems (TCSs) are ubiquitous signaling pathways, typically comprising a sensory histidine kinase (HK) and a response regulator, which communicate via intermolecular kinase-to-receiver domain phosphotransfer. Hybrid HKs constit
Externí odkaz:
https://doaj.org/article/555b259ad1ec4d8982e71b4c4ea18d7f
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 5, p e1010147 (2022)
Inferring protein-protein interactions from sequences is an important task in computational biology. Recent methods based on Direct Coupling Analysis (DCA) or Mutual Information (MI) allow to find interaction partners among paralogs of two protein fa
Externí odkaz:
https://doaj.org/article/47a1ddeafe8f49258c565ddb4f7c0e3f
Autor:
Nicola Dietler, Matthias Minder, Vojislav Gligorovski, Augoustina Maria Economou, Denis Alain Henri Lucien Joly, Ahmad Sadeghi, Chun Hei Michael Chan, Mateusz Koziński, Martin Weigert, Anne-Florence Bitbol, Sahand Jamal Rahi
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-8 (2020)
Current cell segmentation methods for Saccharomyces cerevisiae face challenges under a variety of standard experimental and imaging conditions. Here the authors develop a convolutional neural network for accurate, label-free cell segmentation.
Externí odkaz:
https://doaj.org/article/1386b197c37e4a83a88513c47ac98ec5
Autor:
Loïc Marrec, Anne-Florence Bitbol
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 4, p e1007798 (2020)
The evolution of antimicrobial resistance can be strongly affected by variations of antimicrobial concentration. Here, we study the impact of periodic alternations of absence and presence of antimicrobial on resistance evolution in a microbial popula
Externí odkaz:
https://doaj.org/article/e879c0ce3b5d4eb2b570cff74d71c631
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 10, p e1007179 (2019)
Determining which proteins interact together is crucial to a systems-level understanding of the cell. Recently, algorithms based on Direct Coupling Analysis (DCA) pairwise maximum-entropy models have allowed to identify interaction partners among par
Externí odkaz:
https://doaj.org/article/f527bceee160439f93b6edc30236665b