Results 111 to 120 of about 10,579,206 (300)

Smaller is better: nanobodies meet NMR

FEBS Letters, EarlyView.
Nanobodies are single‐domain antigen‐binding fragments derived from camelid heavy chain antibodies. Their small size, high stability, and exceptional specificity make nanobodies uniquely useful probes for NMR studies of protein dynamics, transient conformational states, and protein–protein interactions.
Oleg Y. Dmitriev
wiley   +1 more source

Mapping causal pathways with structural modes fingerprint for perovskite oxides

Machine Learning: Science and Technology
Causality is innate to the determination of the fundamental mechanism controlling any physical phenomena. However, combining causality within the standard practices of computational modelling to understand structure-functionality connections is extremely
Ayana Ghosh, Saurabh Ghosh
doaj   +1 more source

Causal Inference with Generalized Structural Mean Models

Journal of the Royal Statistical Society Series B: Statistical Methodology, 2003
SummaryWe estimate cause–effect relationships in empirical research where exposures are not completely controlled, as in observational studies or with patient non-compliance and self-selected treatment switches in randomized clinical trials. Additive and multiplicative structural mean models have proved useful for this but suffer from the classical ...
Vansteelandt, S., Goetghebeur, E.
openaire   +2 more sources

Invisible but not inaccessible—Revealing transient oligomers formed by intrinsically disordered proteins with solution NMR and complementary methods

FEBS Letters, EarlyView.
Transient oligomers formed by intrinsically disordered proteins may be ‘invisible’ to direct detection yet remain accessible to solution NMR through equilibrium‐exchange measurements and pressure‐jump experiments. Complementary methods report on mass, stoichiometry, selected distance distributions, morphology, and internal packing.
Martin D. Gelenter, Ad Bax
wiley   +1 more source

Neutralization of the PTX3/CD44 axis suppresses TGF‐β1 signaling in kidney fibrosis

FEBS Letters, EarlyView.
This study investigates how the PTX3/CD44 axis promotes kidney fibrosis by activating TGF‐β1 signaling. We demonstrate that the neutralizing antibody WHC‐001 effectively inhibits this pathway, suppressing myofibroblast activation and partial epithelial–mesenchymal transition (EMT).
Chao‐Chun Cheng, Shen‐Shin Chang, Feng‐Wei Chen, Ying‐Chieh Su, Thanh Phuong Nguyen, Yu‐Wei Hsiao, Jhih‐Ying Chi, Hsin‐Yin Liang, Ju‐Ming Wang   +8 more
wiley   +1 more source

Causal attribution in block-recursive social systems: A structural modeling perspective

Methodological Innovations, 2018
One method for causal analysis in the social sciences is structural modeling. Structural models, as used in this article, model the (causal) mechanism for a social phenomenon by recursively decomposing the multivariate distribution of the variables of ...
Guillaume Wunsch, Michel Mouchart, Federica Russo   +2 more
doaj   +1 more source

DNA ligase LigE increases bacterial transformation with damaged extracellular DNA

FEBS Letters, EarlyView.
The DNA ligase LigE from the naturally competent Gram‐negative bacterium Neisseria gonorrhoaea increases transformation with cut extracellular DNA. This process is ATP‐dependent and relies on the catalytic activity of LigE; it also requires that LigE contains an intact periplasmic localisation sequence, indicating that ligE functions in the periplasm ...
Jolyn Pan, Avi Singh, Shrawani Weralupe Gamladdalage, Joanna Hicks, Adele Williamson   +4 more
wiley   +1 more source

Decision-based models of the implementation of interventions in systems of healthcare: Implementation outcomes and intervention effectiveness in complex service environments.

PLoS ONE, 2019
Implementation is a crucial component for the success of interventions in health service systems, as failure to implement well can have detrimental impacts on the effectiveness of evidence-based practices.
Arno Parolini, Wei Wu Tan, Aron Shlonsky
doaj   +1 more source

On Data Manifolds Entailed by Structural Causal Models. [PDF]

, 2023
The geometric structure of data is an important inductive bias in machine learning. In this work, we characterize the data manifolds entailed by structural causal models. The strengths of the proposed framework are twofold: firstly, the geometric structure of the data manifolds is causally informed, and secondly, it enables causal reasoning about the ...
Dominguez-Olmedo, Ricardo, Karimi, Amir-Hossein, Arvanitidis, Georgios, Schölkopf, Bernhard   +3 more
openaire   +1 more source

Going viral − Virus‐targeting nanobodies for research, diagnostics and therapy

FEBS Letters, EarlyView.
The increasing prevalence of viral diseases represents a major threat for global human health. Nanobodies, small binding fragments derived from camelid heavy‐chain antibodies, offer versatile tools for viral research, diagnostics, and antiviral therapy.
Domenic Ebert, Ulrich Rothbauer
wiley   +1 more source