Prediction of cell-penetrating peptides using Artificial Neural Networks

Current Computer-Aided Drug Design

Volumn 6, Issue 2, 2010, Pages 79-89

  Dobchev, Dimitar A ^a,c   Mäger, Imre ^d,e   Tulp, Indrek ^b   Karelson, Gunnar ^a,c   Tamm, Tarmo ^c,d   Tämm, Kaido ^c   Jänes, Jaak ^c   Langel, Ülo ^d,e   Karelson, Mati ^a,b  

^a TALLINN UNIVERSITY OF TECHNOLOGY   (Estonia)

^b UNIVERSITY OF TARTU   (Estonia)

^c MolCode   (Estonia)

^d UNIVERSITY OF TARTU   (Estonia)

^e STOCKHOLM UNIVERSITY   (Sweden)

Author keywords

Artificial neural networks (ANN); Cell penetrating peptides (CPP); PCA; QSAR

Indexed keywords

CHEMICAL ANALYSIS; COMPUTATIONAL CHEMISTRY; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS;

ARTIFICIAL NEURAL NETWORK; BIO-CHEMICALS; CELL-PENETRATING PEPTIDE; CLUSTERIZATION; DESCRIPTORS; MOLECULAR CHARACTERISTICS; NETWORK COMPONENT ANALYSIS; PRINCIPLE COMPONENTS ANALYSIS; QSAR;

PEPTIDES;

CELL PENETRATING PEPTIDE;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; CELL TRANSPORT; DRUG PENETRATION; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; QUANTITATIVE STRUCTURE ACTIVITY RELATION; ANIMAL; CELLS; COMPUTER SIMULATION; HUMAN; METABOLISM;

ANIMALS; CELL-PENETRATING PEPTIDES; CELLS; COMPUTER SIMULATION; HUMANS; NEURAL NETWORKS (COMPUTER); PRINCIPAL COMPONENT ANALYSIS;

EID: 77953662145     PISSN: 15734099     EISSN: None     Source Type: Journal    
DOI: 10.2174/157340910791202478     Document Type: Article

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