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Defining the interacting regions between apomyoglobin and lipid membrane by hydrogen/deuterium exchange coupled to mass spectrometry

Physiological effects of Crl in Salmonella are modulated by sigmaS level and promoter specificity

© Institut Pasteur

Cells infected for 24 hrs with C. Trachomatis. The cell nuclei are labelled in blue, the bacteria appear yellow, within the inclusion lumen. A bacterial protein secreted out the inclusion into the host cytoplasm id labelled in red.

Publication : Physical review letters

Probabilistic sequence alignments: realistic models with efficient algorithms

Team: Structural Microbiology

Member: Edouard Yeramian

Scientific Fields

Diseases

Organisms

Applications

Technique

Published in Physical review letters - 12 Feb 2007

Yeramian E, Debonneuil E

Link to Pubmed [PMID] – 17359063

Phys. Rev. Lett. 2007 Feb;98(7):078101

Alignment algorithms usually rely on simplified models of gaps for computational efficiency. Based on correspondences between alignments and structural models for nucleic acids, and using methods from statistical mechanics, we show that alignments with realistic laws for gaps can be computed with fast algorithms. Improved performances of probabilistic alignments with realistic models of gaps are illustrated. By contrast with optimization-based alignments, such improvements with realistic laws are not observed. General perspectives for biological and physical modelings are mentioned.

Published on: 12 Feb 2007