Pregled bibliografske jedinice broj: 54954
Evaluation of phenotypic characteristics for differentiation of enterococcal species using an example based algorithm
Evaluation of phenotypic characteristics for differentiation of enterococcal species using an example based algorithm // Diagnostic microbiology and infectious disease, 38 (2000), 4; 201- 205 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 54954 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Evaluation of phenotypic characteristics for differentiation of enterococcal species using an example based algorithm
Autori
Bejuk, Danijela ; Begovac, Josip ; Gamberger, Dragan ; Kučišec-Tepeš, Nastja
Izvornik
Diagnostic microbiology and infectious disease (0732-8893) 38
(2000), 4;
201- 205
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
enterococci; differentiation; ILLM
Sažetak
A computer based rule-generation system of Inductive Learning by Logic Minimization (ILLM) was used to determine the sufficient set of biochemical reactions and necessary conditions that have to be fulfilled for correct differentiation of enterococci recovered from humans. The simplest combination of physiological tests for differentiation Enterococcus faecalis from all other enterococcal species consisted of only 3 reactions. Reactions that tested the ability of acidification D-xylose, mannitol, L-arabinose and Na-pyruvate were useful for delineation of both E. faecalis and E. faecium from all other enterococci. For differentiation of all 12 currently known clinically significant species of enterococci any one of 3 sets of nine tests suggested by ILLM could be used. The tests suggested by ILLM were applied to 153 isolates of enteroccoci recovered at our Department of Microbiology and all E. faecalis (138, 90.2%), E. faecium (13, 8.5%) and E. avium strains (2, 1.3%) were correctly differentiated.
Izvorni jezik
Engleski
Znanstvena područja
Javno zdravstvo i zdravstvena zaštita
POVEZANOST RADA
Projekti:
108021
Ustanove:
Medicinski fakultet, Zagreb
Profili:
Danijela Bejuk
(autor)
Josip Begovac
(autor)
Dragan Gamberger
(autor)
Nastja Kučišec-Tepeš
(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