Results 251 to 260 of about 86,938 (346)
Microproteins are hidden treasures encoded by the “dark proteome” but remain largely underexplored due to the lack of highly efficient tools. We developed a molecularly imprinted polymers (MIPs)‐based toolbox (CLAIMID) to achieve accelerated and ultrasensitive microproteins validation at multiple biological scales (single living cells, cell populations,
Hui He +10 more
wiley +1 more source
Advances in the use of morphogenic regulators and peptide regenerating factors for boosting plant transformation and genome editing. [PDF]
Achary VMM +6 more
europepmc +1 more source
Causal Prediction of TP53 Variant Pathogenicity Using a Perturbation‐Informed Protein Language Model
A TP53‐specific predictor, CaVepP53, is developed by fine‐tuning ESMC on experimentally validated variants, quantifying pathogenicity via Euclidean distances. It outperforms general‐purpose models and extends to five cancer genes, enabling interpretable variant classification for precision medicine.
Huiying Chen +15 more
wiley +1 more source
Hybrid quasi Z source multi output converter system with performance control and real time validation for photovoltaic microgrid. [PDF]
Deori P, Ahmad A, Routray A.
europepmc +1 more source
In vitro regeneration through direct shoot organogenesis in Honey Orange (<i>Citrus tangerina</i>)
Yin Yin Nwe +6 more
openalex +2 more sources
This study employs sc‐RNA sequencing, genetics, and phenotyping to systematically map the cell‐type‐specific immune responses triggered by flg22. It reveals FLS2‐dependent transcriptional reprogramming in epidermal and mesophyll cells, and uncovers crosstalk between immune and hypoxia signaling pathways.
Yaping Zhou +17 more
wiley +1 more source
Diversity of Root System Architecture in Mediterranean Maize Inbred Lines Provides New Breeding Opportunities to Improve Stress Resilience and Resource Efficiency. [PDF]
Shi R +5 more
europepmc +1 more source
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source

