title: Artificial neural network study on organ-targeting peptides.
abstract: We report a new approach to studying organ targeting of peptides on the basis of peptide sequence information. The positive control data sets consist of organ-targeting peptide sequences identified by the peroral phage-display technique for four organs, and the negative control data are prepared from random sequences. The capacity of our models to make appropriate predictions is validated by statistical indicators including sensitivity, specificity, enrichment curve, and the area under the receiver operating characteristic (ROC) curve (the ROC score). VHSE descriptor produces statistically significant training models and the models with simple neural network architectures show slightly greater predictive power than those with complex ones. The training and test set statistics indicate that our models could discriminate between organ-targeting and random sequences. We anticipate that our models will be applicable to the selection of organ-targeting peptides for generating peptide drugs or peptidomimetics.
authors.affiliation: Insilicotech Co. Ltd, Geumgok-Dong, Bundang-Gu, Seongnam-Shi 463-943, Korea. jungek@insilicotech.co.kr
authors.forename: Eunkyoung
authors.initials: E
authors.lastname: Jung
authors.forename: Junhyoung
authors.initials: J
authors.lastname: Kim
authors.forename: Seung-Hoon
authors.initials: SH
authors.lastname: Choi
authors.forename: Minkyoung
authors.initials: M
authors.lastname: Kim
authors.forename: Hokyoung
authors.initials: H
authors.lastname: Rhee
authors.forename: Jae-Min
authors.initials: JM
authors.lastname: Shin
authors.forename: Kihang
authors.initials: K
authors.lastname: Choi
authors.forename: Sang-Kee
authors.initials: SK
authors.lastname: Kang
authors.forename: Nam Kyung
authors.initials: NK
authors.lastname: Lee
authors.forename: Yun-Jaie
authors.initials: YJ
authors.lastname: Choi
authors.forename: Dong Hyun
authors.initials: DH
authors.lastname: Jung
mesh_terms: D000595:Amino Acid Sequence; D000818:Animals; D016503:Drug Delivery Systems; D007668:Kidney / Q000378:metabolism; D008099:Liver / Q000378:metabolism; D008168:Lung / Q000378:metabolism; D008297:Male; D008954:Models, Biological; D016571:Neural Networks, Computer; D019151:Peptide Library; D010455:Peptides / Q000008:administration & dosage* / Q000737:chemistry / Q000493:pharmacokinetics*; D051381:Rats; D013154:Spleen / Q000378:metabolism
chemical_list: D019151:Peptide Library; D010455:Peptides