We have shown that it is possible to design a peptide that has a very low helical content when free in solution but that adopts a well-defined helix when interacting with silica nanoparticles. From a systematic variation of the amino acid composition and distribution in designed peptides, it has been shown that the ability to form helical structure upon binding to the silica surface is dominated by two factors. First, the helical content is strongly correlated with the net positive charge on the side of the helix that interacts with the silica, and arginine residues are strongly favored over lysine residues in these positions. The second important factor is to have a high net negative charge on the side of the helix that faces the solution. Apparently, both attractive and repulsive electrostatic forces dominate the induction and stabilization of a bound helix. It is also evident that using amino acids that have high propensity to form helix in solution are also advantageous for the formation of helix on surfaces.
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http://dx.doi.org/10.1021/nl080386s | DOI Listing |
Nat Commun
January 2025
State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.
WNT/β-catenin signaling plays key roles in development and cancer. ZNRF3/RNF43 modulates Frizzleds through ubiquitination, dampening WNT/β-catenin signaling. Conversely, RSPO1-4 binding to LGR4-6 and ZNRF3/RNF43 enhances WNT/β-catenin signaling.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Pittsburgh School of Pharmacy, Pittsburgh, PA, USA.
Background: Reversible post-translational modifications, phosphorylation and dephosphorylation, on tau protein play a critical role in the microtubule (MT) modulation. However, abnormal tau phosphorylation, which occurs in tauopathies such as Alzheimer's disease (AD), causes the dissociation of tau from MTs. The dissociated tau then aggregates into sequent forms from soluble oligomers to paired helical filaments (PHF), and insoluble neurofibrillary tangles (NFTs), a hallmark of AD.
View Article and Find Full Text PDFPhys Chem Chem Phys
January 2025
Department of Chemistry, University at Albany, State University of New York, 1400 Washington Ave, Albany, NY 12222, USA.
The influence of aqueous solutions of 2-(tetrafluoro(trifluoromethyl)-λ-sulfanyl-ethan-1-ol (CFSF-ethanol) and 2,2,2-trifluoroethanol (TFE) on the secondary structure of melittin was studied using circular dichroism (CD) and molecular dynamics (MD) simulations. In water, melittin transitions into a random coil. However, upon addition of even as little as 1% by volume of CFSF-ethanol, the secondary structure of melittin stabilizes as a helix.
View Article and Find Full Text PDFSci Rep
January 2025
Medical Physics, Clinic for Radiology, University of Münster and University Hospital of Münster, 48149, Münster, Albert-Schweitzer-Campus 1, Building A1, Germany.
This study aims to improve our understanding of acute ischemic stroke clot imaging by integrating CT attenuation information with MRI susceptibility signal of thrombi. For this proof-of-principle experimental study, fifty-seven clot analogs were produced using ovine venous blood with a broad histological spectrum. Each clot analog was analyzed to determine its RBC content and chemical composition, including water, Fe III, sodium, pH, and pO2.
View Article and Find Full Text PDFInt J Biol Macromol
December 2024
Institute of Agro-Products Processing Science and Technology, Chinese Academy of Agricultural Sciences/Key Laboratory of Agro-Products Processing, Ministry of Agriculture, Beijing 100193, China; Western Agricultural Research Center, Chinese Academy of Agricultural Sciences, Changji 831100, PR China. Electronic address:
Natural Xanthine oxidase (XOD) inhibitors represent promising therapeutic agents for hyperuricemia (HUA) treatment due to their potent efficacy and favorable safety profiles. This study involved the construction of a comprehensive database of 315 XOD inhibitors and development of 28 machine learning-based QSAR models. The ChemoPy light gradient boosting machine model exhibited the best performance (AUC = 0.
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