Results 41 to 50 of about 7,871,511 (280)

Molecular point-of-care: technological evolution, clinical applications, and future perspectives

Frontiers in Bioengineering and Biotechnology
The landscape of clinical diagnostics is undergoing a fundamental shift from centralized laboratories toward decentralized point-of-care testing (POCT) models.
Danfeng Zhang, Xin Cui, Xin Cui, Ruiling Zhang, Wenlong Cai, Li Wang, Jichun Yang, Jichun Yang   +7 more
doaj   +1 more source

Ab initio surface chemistry with chemical accuracy

, 2023
6 pages (w/o SI), 3 ...
Ye, Hong-Zhou, Berkelbach, Timothy C.
openaire   +2 more sources

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

polyBERT: a chemical language model to enable fully machine-driven ultrafast polymer informatics

Nature Communications, 2023
Polymers are a vital part of everyday life. Their chemical universe is so large that it presents unprecedented opportunities as well as significant challenges to identify suitable application-specific candidates.
Christopher Kuenneth, Rampi Ramprasad
doaj   +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

Chemical Literature

, 1964
Quarterly supplement for "the regular journals of the American Chemical Society," containing annotated bibliographies of chemical documentation literature as well as information about meetings, conferences, awards, scholarships, and other news from the ...
American Chemical Society. Division of Chemical Literature., Valeri, Virginia   +1 more
core   +3 more sources

An initial investigation of accuracy required for the identification of small molecules in complex samples using quantum chemical calculated NMR chemical shifts

Journal of Cheminformatics, 2022
The majority of primary and secondary metabolites in nature have yet to be identified, representing a major challenge for metabolomics studies that currently require reference libraries from analyses of authentic compounds.
Yasemin Yesiltepe, Niranjan Govind, Thomas O. Metz, Ryan S. Renslow   +3 more
doaj   +1 more source

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, Ruslana Romaniuk, Hristo L. Svilenov   +2 more
wiley   +1 more source

Partial depletion of plasminogen activator inhibitor‐1 decreases subcutaneous fat cell hypertrophy and liver cholesterol in high‐fat‐fed female mice

FEBS Letters, EarlyView.
Obesity raises blood levels of PAI‐1, a protein linked to metabolic dysfunction‐associated steatotic liver disease in people with obesity. In female mice fed a high‐fat diet, partially lowering PAI‐1 led to smaller subcutaneous fat cells and lower liver cholesterol, without changing body weight or insulin sensitivity.
Claudia E. Ramirez Bustamante, Robert Sharp, Pradip K. Saha, Elizabeth S. Anaya, Elizabeth L. Lieu, Evelyn L. de Groot, Pooja Patel, Mi Jeong Heo, Aaron R. Cox, Kang Ho Kim, Sean M. Hartig   +10 more
wiley   +1 more source

Machine-learning-accelerated band gap prediction from chemical composition with near-experimental accuracy

Next Materials
Accurate prediction of electronic band gaps from chemical composition alone remains a formidable challenge in materials informatics, with existing approaches often limited by reliance on internal validation or computational targets that inherit density ...
Cesar Gabriel Vera de la Garza, Serguei Fomine   +1 more
doaj   +1 more source