Prediction performance for different ratios of positive to negative sets based on binary encoding.

<p>The performance of the binary encoding scheme was assessed using a 10-fold cross-validation strategy.</p

Comparison of SUMOhydro with other predictors.

<p>Comparison of SUMOhydro with other predictors.</p

pH-Responsive Polyethylene Glycol Monomethyl Ether-ε-Polylysine-G-Poly (Lactic Acid)-Based Nanoparticles as Protein Delivery Systems

<div><p>The application of poly(lactic acid) for sustained protein delivery is restricted by the harsh pH inside carriers. In this study, we synthesized a pH-responsive comb-shaped block copolymer, polyethylene glycol monomethyl ether-ε-polylysine-<i>g</i>-poly (lactic acid) (PEP)to deliver protein (bovine serum albumin (BSA)). The PEP nanoparticles could automatically adjust the internal pH to a milder level, as shown by the quantitative ratio metric results. The circular dichroism spectra showed that proteins from the PEP nanoparticles were more stable than those from poly(lactic acid) nanoparticles. PEP nanoparticles could achieve sustained BSA release in both <i>in vitro</i> and <i>in vivo</i> experiments. Cytotoxicity results in HL-7702 cells suggested good cell compatibility of PEP carriers. Acute toxicity results showed that the PEP nanoparticles induced no toxic response in Kunming mice. Thus, PEP nanoparticles hold potential as efficient carriers for sustained protein release.</p></div

ROC curves of different encoding SVM models using a leave-one-out cross-validation.

<p>ROC curves of different encoding SVM models using a leave-one-out cross-validation.</p

ROC curves of different encoding SVM models using a 10-fold cross-validation.

<p>ROC curves of different encoding SVM models using a 10-fold cross-validation.</p

Prediction performance of leave-one-out cross-validation based on different encoding methods.

<p>Prediction performance of leave-one-out cross-validation based on different encoding methods.</p

WU, LC, zeta potential, and particle size of NPs.

<p>WU, LC, zeta potential, and particle size of NPs.</p

Prediction performance of 10-fold cross-validation based on different encoding methods.

<p>Prediction performance of 10-fold cross-validation based on different encoding methods.</p

Z_scale for the 20 amino acids.

<p>Z_scale for the 20 amino acids.</p

Hydrophobicity scales for the 20 amino acids.

<p>Hydrophobicity scales for the 20 amino acids.</p