On the Efficient Influence Function and the Efficient Score Function
, 1997 Efficient influence functions and efficient score functions are representations of derivatives of maps. The invariance of theformer under changes of parametrization, and the formula relating the efficient influence function for the projection of ...
Lenstra, Andries
core
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
FEBS Letters, EarlyView.Cancer progression is regulated by the dynamic matrix code of the tumor microenvironment, which influences cellular behavior and disease development. Importantly, matrix remodeling in three‐dimensional cancer models more accurately reflects in vivo conditions compared to conventional two‐dimensional systems.
Sylvia Mangani +3 more
wiley +1 more source
FEBS Letters, EarlyView.The process of internalization of the Shiga toxin A subunit via formation of a complex with the Shiga toxin B subunit, which specifically binds to the Gb3 receptor. The peptide is designed to act as a carrier of drugs into cancer cells. Here, we explored the potential of peptides derived from the catalytic A subunit of Shiga toxin (STxA) to be drug ...
Giulia Opassi +6 more
wiley +1 more source
Decomposing low birth weight inequality in Lesotho: A distributional analysis using hybrid Fairlie and recentred influence function methods on multiple indicator cluster survey 2018. [PDF]
J Public Health AfrMotlamelle TE, Machema RP.
europepmc +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
Bone remodeling simulation using spatial influence function in macroscopic cube case. [PDF]
Front Bioeng BiotechnolSafira IR +3 more
europepmc +1 more source
Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions
FEBS Letters, EarlyView.The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang +4 more
wiley +1 more source
Influence of observations on the misclassification probability in quadratic discriminant analysis. [PDF]
In this paper it is analyzed how observations in the training sample affect the misclassification probability of a quadratic discriminant rule. An approach based on partial influence functions is followed. It allows to quantify the effect of observations
Croux, Christophe, Joossens, Kristel
core
Explainable AI (XAI) for Neonatal Pain Assessment via Influence Function Modification. [PDF]
Annu Int Conf IEEE Eng Med Biol SocHossain MI +4 more
europepmc +1 more source