Results 101 to 110 of about 2,353,350 (290)
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Interval pattern avoidance for arbitrary root systems
, 2006 We extend the idea of interval pattern avoidance defined by Yong and the author for $S_n$ to arbitrary Weyl groups using the definition of pattern avoidance due to Billey and Braden, and Billey and Postnikov. We show that, as previously
Woo, Alexander
core +1 more source
Pattern avoidance in combinatorics [PDF]
, 2019 Das Ziel der Arbeit ist es, die Mustervermeidung in verschiedenen kombinatorischen Strukturen zu beschreiben. Behandelt wurden unter anderem Gitterpfade, Bäume, Strings, Mengenpartitionen und Graphen. Es wurden auch verschiedene Muster untersucht, so zum
Reikl, Gabriel
core +1 more source
Reconstructing enzyme evolution by protein engineering
FEBS Letters, EarlyView.Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
Investigating transcription factor dynamics in health and disease using FRAP
FEBS Letters, EarlyView.FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
Wilf Classes for Level Sequences Avoiding Patterns of Length Three
MathematicsA level sequence is a word π=π1π2…πn over the set of nonnegative integers such that π1=0 and πi≤1+lev(π1π2…πi−1) for i=2,3,…,n, where lev(π1π2…πm) is the number of levels in the word π1π2…πm, that is, the number of two entry factors πjπj+1 such that πj ...
Toufik Mansour
doaj +1 more source
Pattern avoidance and the Bruhat order
Journal of Combinatorial Theory, Series A, 2007 The structure of order ideals in the Bruhat order for the symmetric group is elucidated via permutation patterns. A method for determining non-isomorphic principal order ideals is described and applied for small lengths. The permutations with boolean principal order ideals are characterized.
openaire +2 more sources
On bijections for pattern-avoiding permutations
Journal of Combinatorial Theory, Series A, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jonathan Bloom, Dan Saracino
openaire +3 more sources
Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation
FEBS Letters, EarlyView.Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang +2 more
wiley +1 more source
Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry
FEBS Letters, EarlyView.EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri +5 more
wiley +1 more source