메뉴 건너뛰기




Volumn 44, Issue 12, 2009, Pages 4826-4840

Prediction of telomerase inhibitory activity for acridinic derivatives based on chemical structure

Author keywords

Acridines; Acridones; Drug design; G quartet; QSAR; Telomerase

Indexed keywords

ACRIDINE DERIVATIVE; ACRIDONE DERIVATIVE; ANTINEOPLASTIC AGENT; TELOMERASE; TELOMERASE INHIBITOR;

EID: 70449623086     PISSN: 02235234     EISSN: 17683254     Source Type: Journal    
DOI: 10.1016/j.ejmech.2009.07.029     Document Type: Article
Times cited : (11)

References (60)
  • 1
    • 0035929353 scopus 로고    scopus 로고
    • Blackburn E.H. Cell 106 (2001) 661-673
    • (2001) Cell , vol.106 , pp. 661-673
    • Blackburn, E.H.1
  • 4
    • 17144420804 scopus 로고    scopus 로고
    • Blasco M.A. Embo. J. 24 (2005) 1095-1103
    • (2005) Embo. J. , vol.24 , pp. 1095-1103
    • Blasco, M.A.1
  • 45
    • 70449677839 scopus 로고    scopus 로고
    • STATISTICA
    • I. StatSoft, STATISTICA, 2001.
    • (2001)
    • StatSoft, I.1
  • 53
    • 70449679863 scopus 로고    scopus 로고
    • F. Provost, T. Fawcett, Analysis and visualization of classifier performance comparison under class and cost distributions, in: A.A.f.A. Intelligence (Ed.), Third International Conference on Knowledge Discovery and Data Mining (KDD-97), American Association for Artificial Intelligence, 1997.
    • F. Provost, T. Fawcett, Analysis and visualization of classifier performance comparison under class and cost distributions, in: A.A.f.A. Intelligence (Ed.), Third International Conference on Knowledge Discovery and Data Mining (KDD-97), American Association for Artificial Intelligence, 1997.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.