Results 211 to 220 of about 257,655 (321)
NNvPDB: Neural Network based Protein Secondary Structure Prediction with PDB Validation. [PDF]
Sakthivel S, S K M H.
europepmc +1 more source
Electrospinning enables the hierarchical assembly of nanofiber‐based scaffolds for tissue engineering. However, encapsulated proteins often undergo structural changes. This study used mesoporous silica nanoparticles (MSNs) as protective carriers, mitigating protein denaturation and supporting controlled release.
Vera Citro+5 more
wiley +1 more source
Enhanced Chemical Shift Analysis for Secondary Structure prediction of protein
Won-Je Kim+4 more
openalex +2 more sources
How to Manufacture Photonic Metamaterials
Metamaterials boast applications such as invisibility and “hyperlenses” with resolution beyond the diffraction limit, but these applications haven’t been exploited in earnest and the market for them hasn’t grown much likely because facile and economical methods for fabricating them without defect has not emerged.
Apurba Paul, Gregory Timp
wiley +1 more source
Protein secondary structure prediction using deep convolutional neural fields
Sheng Wang+3 more
openalex +2 more sources
Progress in Surface Plasmon and Other Resonance Biosensors for Biomedical Applications
This is the shortened version: Recent advancements in surface plasmon resonance and other optical resonance biosensors for biomedical applications are presented. Advanced sensing strategies are examined for the detection of diverse analytes, integration of nanomaterials and machine learning, and emerging nonplasmonic modes like guided mode resonance ...
Faten Bashar Kamal Eddin+8 more
wiley +1 more source
Advancements in Plant Diagnostic and Sensing Technologies
This review explores plant diagnostic and sensing technologies, highlighting key traits, structures, and metabolites. It covers conventional methods like leaf light reflectance and fluorescence, as well as advanced optical techniques such as Fourier transform infrared spectroscopy and Raman spectroscopy. The integration of machine learning, statistical
Shalini Krishnamoorthi+7 more
wiley +1 more source
Hispidulin disrupts the KITENIN/ErbB4 oncogenic complex and inhibits KITENIN‐mediated AP‐1 activity, cell invasion, and aerobic glycolysis. It also suppresses the production of cancer‐associated metabolites and downregulates transcriptional regulators downstream of the KITENIN complex.
Mücahit Varlı+7 more
wiley +1 more source