Authors
Manolis Maragkakis, Panagiotis Alexiou, Giorgio L Papadopoulos, Martin Reczko, Theodore Dalamagas, George Giannopoulos, George Goumas, Evangelos Koukis, Kornilios Kourtis, Victor A Simossis, Praveen Sethupathy, Thanasis Vergoulis, Nectarios Koziris, Timos Sellis, Panagiotis Tsanakas, Artemis G Hatzigeorgiou
Publication date
2009/12
Journal
BMC bioinformatics
Volume
10
Pages
1-10
Publisher
BioMed Central
Description
Background
MicroRNAs are small endogenously expressed non-coding RNA molecules that regulate target gene expression through translation repression or messenger RNA degradation. MicroRNA regulation is performed through pairing of the microRNA to sites in the messenger RNA of protein coding genes. Since experimental identification of miRNA target genes poses difficulties, computational microRNA target prediction is one of the key means in deciphering the role of microRNAs in development and disease.
Results
DIANA-microT 3.0 is an algorithm for microRNA target prediction which is based on several parameters calculated individually for each microRNA and combines conserved and non-conserved microRNA recognition elements into a final prediction score, which correlates with protein production fold change. Specifically, for each …
Total citations
Scholar articles
M Maragkakis, P Alexiou, GL Papadopoulos, M Reczko… - BMC bioinformatics, 2009