A neural network method for identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites.

International journal of neural systems

Volumn 8, Issue 5-6, 1997, Pages 581-599

  Nielsen, H ^a   Engelbrecht, J ^a   Brunak, S ^a   von Heijne, G ^a  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

NUCLEAR PROTEIN; SIGNAL PEPTIDE;

ALGORITHM; AMINO ACID SEQUENCE; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMISTRY; COMPUTER SYSTEM; CYTOPLASM; EUKARYOTIC CELL; FACTUAL DATABASE; GENETICS; GENOME; HAEMOPHILUS; HUMAN; MOLECULAR GENETICS; PHYSIOLOGY; PROKARYOTIC CELL;

ALGORITHMS; AMINO ACID SEQUENCE; COMPUTER SYSTEMS; CYTOPLASM; DATABASES, FACTUAL; EUKARYOTIC CELLS; GENOME; HAEMOPHILUS; HUMANS; MOLECULAR SEQUENCE DATA; NEURAL NETWORKS (COMPUTER); NUCLEAR PROTEINS; PROKARYOTIC CELLS; PROTEIN SORTING SIGNALS;

MLCS; MLOWN;

EID: 0031240609     PISSN: 01290657     EISSN: None     Source Type: Journal    
DOI: 10.1142/s0129065797000537     Document Type: Article

References (0)