Results 191 to 200 of about 2,377,091 (269)

Modelling stem cell differentiation related processes—A practical overview for biologists

FEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar, Xinqi Yan, Lucas F. Jansen Klomp, Stefano Schivo, Janine N. Post   +4 more
wiley   +1 more source

Comparing traditional natural language processing and large language models for mental health status classification: a multi-model evaluation. [PDF]

Sci Rep
Kallstenius T, Capusan AJ, Andersson G, Williamson A.   +3 more
europepmc   +1 more source

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, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Hierarchical modeling of risk factors with and without prior information-the process of regression model evaluation for an example of respiratory diseases in piglet production from daily practice data. [PDF]

Front Vet Sci
Tug T, Mers F, Schäkel F, Höltig D, Kreienbrock L, Ickstadt K.   +5 more
europepmc   +1 more source

ABL kinase‐dependent phosphorylation of SH proteins promotes their direct interaction with CRK family SH2 domains

FEBS Letters, EarlyView.
CT10 regulator of kinase (CRK) and CRK‐Like (CRKL) are signaling adaptors driving cell adhesion, motility, differentiation, and proliferation. SH2‐domain containing (SH) proteins are enriched in YXXP motifs which when phosphorylated create preferred binding sites for CRK family SH2 domains.
Phoebe M. Cousens, Brendan W. Chandler, Anna M. Schmoker, Jaye L. Weinert, Charlotte A. Kearns, Warren T. Yacawych, Amila Šemić, Alicia M. Ebert, Bryan A. Ballif   +8 more
wiley   +1 more source

From an Antimicrobial Agent to a constituent of 3D Printed Heterogenous Scaffolds Stimulating Bone Characteristics: An In-vitro and Animal model evaluation. [PDF]

Regen Ther
Daood SA, Xin Yi MT, Ce Mun NW, Ilyas S, Shien LY, En OJ, Bin Qasim SS, Dai Y, Grewal GK, Liit NM, Sriram G, Pichika MR, Mak KK, Bapat RA, Sheikh Z, Daood U.   +15 more
europepmc   +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, Markus R. Busch, Reinhard Sterner   +2 more
wiley   +1 more source

A review of model evaluation metrics for machine learning in genetics and genomics. [PDF]

Front Bioinform
Miller C, Portlock T, Nyaga DM, O'Sullivan JM.   +3 more
europepmc   +1 more source

Identification of a Shiga toxin A‐derived peptide internalized into Gb3 receptor‐bearing cells via interaction with the Shiga toxin B subunit

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, João C. Encarnação, Valeria Napolitano, Grzegorz Dubin, Grzegorz Popowicz, Karl Andersson, U. Helena Danielson   +6 more
wiley   +1 more source

Application of unified health large language model evaluation framework to In-Basket message replies: bridging qualitative and quantitative assessments. [PDF]

J Am Med Inform Assoc
Hong C, Chowdhury A, Sorrentino AD, Wang H, Agrawal M, Bedoya A, Bessias S, Economou-Zavlanos NJ, Wong I, Pean C, Li F, Pollak KI, Poon EG, Pencina MJ.   +13 more
europepmc   +1 more source