scispace - formally typeset
Y

Yuanli Song

Researcher at Bristol-Myers Squibb

Publications -  38
Citations -  1264

Yuanli Song is an academic researcher from Bristol-Myers Squibb. The author has contributed to research in topics: Spectrin & Chemistry. The author has an hindex of 13, co-authored 34 publications receiving 994 citations. Previous affiliations of Yuanli Song include University of Illinois at Chicago & Vanderbilt University.

Papers
More filters
Journal ArticleDOI

The Amyloid Precursor Protein Has a Flexible Transmembrane Domain and Binds Cholesterol

TL;DR: NMR titration of C99 reveals a binding site for cholesterol, providing mechanistic insight into how cholesterol promotes amyloidogenesis and may aid in the design of Alzheimer’s therapeutics.
Journal ArticleDOI

Cholesterol as a co-solvent and a ligand for membrane proteins

TL;DR: A brief overview of cholesterol‐protein interactions is provided and a perspective on how and why binding of cholesterol to APP and its C99 domain (β‐CTF) promotes the amyloidogenic pathway, which is closely related to the etiology of Alzheimer's disease is offered.
Journal ArticleDOI

Isolation, structure elucidation, antioxidative and immunomodulatory properties of two novel dihydrocoumarins from Aloe vera.

TL;DR: Two new dihydrocoumarin derivatives, compounds 1 and 2, were isolated from Aloe vera and evidently showed antioxidant activity against superoxide and hydroxyl radicals.
Journal ArticleDOI

Competition Between Homodimerization and Cholesterol Binding to the C99 Domain of the Amyloid Precursor Protein

TL;DR: The results suggest that the 1:1 cholesterol/C99 complex will be more highly populated than C99 homodimers under most physiological conditions.
Journal ArticleDOI

Technology outlook for real-time quality attribute and process parameter monitoring in biopharmaceutical development-A review.

TL;DR: A broad spectrum of PAT technologies spanning from vibrational spectroscopy, multivariate data analysis, multiattribute chromatography, mass spectrometry, sensors, and automated‐sampling technologies are discussed, and insights are provided into data automation, data visualization, and smart utility of data for advanced‐analytics in PAT.