Results 241 to 250 of about 1,386,749 (339)
Automated design of energy functions for protein structure prediction by means of genetic programming and improved structure similarity assessment [PDF]
Paweł Widera
openalex
Herein, environmental scanning electron microscopy (ESEM) is discussed as a powerful extension of conventional SEM for life sciences. By combining high‐resolution imaging with variable pressure and humidity, ESEM allows the analysis of untreated biological materials, supports in situ monitoring of hydration‐driven changes, and advances the functional ...
Jendrian Riedel +6 more
wiley +1 more source
Comparative Analysis of Active LTR Retrotransposons in Sunflower (Helianthus annuus L.): From Extrachromosomal Circular DNA Detection to Protein Structure Prediction. [PDF]
Kazancev M +5 more
europepmc +1 more source
Lipid nanoparticles (LNPs) are optimized to co‐deliver Cas9‐encoding messenger RNA (mRNA), a single guide RNA (sgRNA) targeting the endogenous cystic fibrosis transmembrane conductance regulator (CFTR) gene, and homologous linear double‐stranded donor DNA (ldsDNA) templates encoding CFTR.
Ruth A. Foley +12 more
wiley +1 more source
Making Use of Averaging Methods in MODELLER for Protein Structure Prediction. [PDF]
Rosignoli S +3 more
europepmc +1 more source
Benchmarking Google DeepMind’s AlphaFold 3 Performance for Protein 3D-Structure Prediction
Yelyzaveta Duma, Alexander Kyrychenko
openalex +2 more sources
The study presents biodegradable and recyclable mixed‐matrix membranes (MMMs), hydrogels, and cryogels using luminescent nanoscale metal‐organic frameworks (nMOFs) and biopolymers. These bio‐nMOF‐MMMs combine europium‐based nMOFs as probes for the status of the materials with the biopolymers agar and gelatine and present alternatives to conventional ...
Moritz Maxeiner +4 more
wiley +1 more source
Advances in AI for Protein Structure Prediction: Implications for Cancer Drug Discovery and Development. [PDF]
Qiu X, Li H, Ver Steeg G, Godzik A.
europepmc +1 more source
This study introduces a novel multi‐scale scaffold design using L‐fractals arranged in Archimedean tessellations for tissue regeneration. Despite similar porosity, tiles display vastly different tensile responses (1–100 MPa) and deformation modes. In vitro experiments with hMSCs show geometry‐dependent growth and activity. Over 55 000 tile combinations
Maria Kalogeropoulou +4 more
wiley +1 more source

