Pregled bibliografske jedinice broj: 93137
Prediction of protein functional domains from sequences using artificial neural networks.
Prediction of protein functional domains from sequences using artificial neural networks. // Genome Research, 8 (2001), 1; 1410-1417 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 93137 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Prediction of protein functional domains from sequences using artificial neural networks.
Autori
Murvai, Janos ; Vlahoviček, Kristian ; Szepesvari, Csaba ; Pongor ; Sandor.
Izvornik
Genome Research (1088-9051) 8
(2001), 1;
1410-1417
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
BLAST; Artificial neural network; Protein sequences
Sažetak
An artificial neural network (ANN) solution is described for the recognition of domains in protein sequences. A query sequence is first compared to a reference database of domain sequences using BLAST and the output data, encoded in the form of 6 parameters, are forwarded to feed-forward artificial neural networks with 6 input and 6 hidden units with sigmoidal transfer function. The recognition is based on the distribution of BLAST scores precomputed for the known domain groups in a database vs. database comparison. Applications to the prediction of function are discussed.
Izvorni jezik
Engleski
Znanstvena područja
Kemija
POVEZANOST RADA
Projekti:
119407
Ustanove:
Prirodoslovno-matematički fakultet, Zagreb
Profili:
Kristian Vlahoviček
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- MEDLINE
Uključenost u ostale bibliografske baze podataka::
- Chemical Abstracts
