AIMC Topic: Disulfides

Clear Filters Showing 21 to 25 of 25 articles

PredSTP: a highly accurate SVM based model to predict sequential cystine stabilized peptides.

BMC bioinformatics
BACKGROUND: Numerous organisms have evolved a wide range of toxic peptides for self-defense and predation. Their effective interstitial and macro-environmental use requires energetic and structural stability. One successful group of these peptides in...

SERS based determination of ceftriaxone, ampicillin, and vancomycin in serum using WS/Au@Ag nanocomposites and a 2D-CNN regression model.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Accurate therapeutic drug monitoring (TDM) of antibiotics including ceftriaxone, ampicillin, and vancomycin plays an important role in the treatment of neonatal sepsis, a common and life-threatening disease in neonates. A highly sensitive surface-enh...

ThermoLink: Bridging disulfide bonds and enzyme thermostability through database construction and machine learning prediction.

Protein science : a publication of the Protein Society
Disulfide bonds, covalently formed by sulfur atoms in cysteine residues, play a crucial role in protein folding and structure stability. Considering their significance, artificial disulfide bonds are often introduced to enhance protein thermostabilit...

Deep learning for nanopore ionic current blockades.

The Journal of chemical physics
DNA molecules can electrophoretically be driven through a nanoscale opening in a material, giving rise to rich and measurable ionic current blockades. In this work, we train machine learning models on experimental ionic blockade data from DNA nucleot...

[Effect of Kangfuxin liquid combined with Garlicin Capsules in treatment of children with recurrent oral ulcer and on immune regulation].

Shanghai kou qiang yi xue = Shanghai journal of stomatology
PURPOSE: To study the effect of Kangfuxin liquid combined with Garlicin Capsules in treatment of children with recurrent oral ulcer (ROU) and on immunological regulation.