Matches in SemOpenAlex for { <https://semopenalex.org/work/W3190208036> ?p ?o ?g. }
- W3190208036 endingPage "1237" @default.
- W3190208036 startingPage "1237" @default.
- W3190208036 abstract "The blood–brain barrier is a major obstacle in treating brain-related disorders, as it does not allow the delivery of drugs into the brain. We developed a method for predicting blood–brain barrier penetrating peptides to facilitate drug delivery into the brain. These blood–brain barrier penetrating peptides (B3PPs) can act as therapeutics, as well as drug delivery agents. We trained, tested, and evaluated our models on blood–brain barrier peptides obtained from the B3Pdb database. First, we computed a wide range of peptide features. Then, we selected relevant peptide features. Finally, we developed numerous machine-learning-based models for predicting blood–brain barrier peptides using the selected features. The random-forest-based model performed the best with respect to the top 80 selected features and achieved a maximal 85.08% accuracy with an AUROC of 0.93. We also developed a webserver, B3pred, that implements our best models. It has three major modules that allow users to predict/design B3PPs and scan B3PPs in a protein sequence." @default.
- W3190208036 created "2021-08-16" @default.
- W3190208036 creator A5048158238 @default.
- W3190208036 creator A5051938893 @default.
- W3190208036 creator A5054096262 @default.
- W3190208036 creator A5068214731 @default.
- W3190208036 creator A5081233004 @default.
- W3190208036 date "2021-08-11" @default.
- W3190208036 modified "2023-10-01" @default.
- W3190208036 title "B3Pred: A Random-Forest-Based Method for Predicting and Designing Blood–Brain Barrier Penetrating Peptides" @default.
- W3190208036 cites W144535883 @default.
- W3190208036 cites W1606934029 @default.
- W3190208036 cites W16603568 @default.
- W3190208036 cites W1867690705 @default.
- W3190208036 cites W1929386789 @default.
- W3190208036 cites W1973544766 @default.
- W3190208036 cites W1977940746 @default.
- W3190208036 cites W1986129921 @default.
- W3190208036 cites W1986299453 @default.
- W3190208036 cites W1993125234 @default.
- W3190208036 cites W1995518628 @default.
- W3190208036 cites W2007070530 @default.
- W3190208036 cites W2015541518 @default.
- W3190208036 cites W2030455075 @default.
- W3190208036 cites W2030623877 @default.
- W3190208036 cites W2042517193 @default.
- W3190208036 cites W2044547549 @default.
- W3190208036 cites W2050988538 @default.
- W3190208036 cites W2056132907 @default.
- W3190208036 cites W2065230062 @default.
- W3190208036 cites W2071568452 @default.
- W3190208036 cites W2074407688 @default.
- W3190208036 cites W2077799814 @default.
- W3190208036 cites W2087356761 @default.
- W3190208036 cites W2091206776 @default.
- W3190208036 cites W2095381691 @default.
- W3190208036 cites W2101506131 @default.
- W3190208036 cites W2110826045 @default.
- W3190208036 cites W2113643826 @default.
- W3190208036 cites W2133583551 @default.
- W3190208036 cites W2141818629 @default.
- W3190208036 cites W2151448282 @default.
- W3190208036 cites W2153635508 @default.
- W3190208036 cites W2156723154 @default.
- W3190208036 cites W2167445067 @default.
- W3190208036 cites W2168639488 @default.
- W3190208036 cites W2168749174 @default.
- W3190208036 cites W2200232771 @default.
- W3190208036 cites W2220780917 @default.
- W3190208036 cites W2253028130 @default.
- W3190208036 cites W2398245217 @default.
- W3190208036 cites W2472351724 @default.
- W3190208036 cites W2492513888 @default.
- W3190208036 cites W2552080741 @default.
- W3190208036 cites W2608969085 @default.
- W3190208036 cites W2610396252 @default.
- W3190208036 cites W2766725728 @default.
- W3190208036 cites W2792640679 @default.
- W3190208036 cites W2800469107 @default.
- W3190208036 cites W2801891815 @default.
- W3190208036 cites W2801916607 @default.
- W3190208036 cites W2884031225 @default.
- W3190208036 cites W2891290193 @default.
- W3190208036 cites W2894856040 @default.
- W3190208036 cites W2896635684 @default.
- W3190208036 cites W2898262866 @default.
- W3190208036 cites W2912414292 @default.
- W3190208036 cites W2921847179 @default.
- W3190208036 cites W2933605448 @default.
- W3190208036 cites W2948402413 @default.
- W3190208036 cites W2965969226 @default.
- W3190208036 cites W2979762545 @default.
- W3190208036 cites W3007202177 @default.
- W3190208036 cites W3021688194 @default.
- W3190208036 cites W3022972444 @default.
- W3190208036 cites W3092381885 @default.
- W3190208036 cites W3095522316 @default.
- W3190208036 cites W3114991408 @default.
- W3190208036 cites W3119003488 @default.
- W3190208036 cites W3181450985 @default.
- W3190208036 cites W650013066 @default.
- W3190208036 cites W2315341171 @default.
- W3190208036 doi "https://doi.org/10.3390/pharmaceutics13081237" @default.
- W3190208036 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8399279" @default.
- W3190208036 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34452198" @default.
- W3190208036 hasPublicationYear "2021" @default.
- W3190208036 type Work @default.
- W3190208036 sameAs 3190208036 @default.
- W3190208036 citedByCount "19" @default.
- W3190208036 countsByYear W31902080362021 @default.
- W3190208036 countsByYear W31902080362022 @default.
- W3190208036 countsByYear W31902080362023 @default.
- W3190208036 crossrefType "journal-article" @default.
- W3190208036 hasAuthorship W3190208036A5048158238 @default.
- W3190208036 hasAuthorship W3190208036A5051938893 @default.
- W3190208036 hasAuthorship W3190208036A5054096262 @default.
- W3190208036 hasAuthorship W3190208036A5068214731 @default.
- W3190208036 hasAuthorship W3190208036A5081233004 @default.