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Volumn 18, Issue 6, 2002, Pages 819-824

NETASA: Neural network based prediction of solvent accessibility

Author keywords

[No Author keywords available]

Indexed keywords

NETASA; SOLVENT;

EID: 0036303121     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/18.6.819     Document Type: Article
Times cited : (94)

References (19)
  • 1
    • 0033768867 scopus 로고    scopus 로고
    • Predicting residue solvent accessibility from protein sequence by considering the sequence environment
    • (2000) Protein Eng , vol.13 , pp. 607-609
    • Carugo, O.1
  • 2
    • 0034663597 scopus 로고    scopus 로고
    • Application of multiple sequence alignment profiles to improve protein secondary structure prediction
    • (2000) Proteins , vol.40 , pp. 502-511
    • Cuff, J.A.1    Barton, G.J.2
  • 4
    • 84913591509 scopus 로고
    • Improved strategy in analytical surface calculation for molecular systems-handling of singularities and computational efficiency
    • (1993) J. Comp. Chem , vol.14 , pp. 1272-1280
    • Eisenhaber, F.1    Argos, P.2
  • 9
    • 0035189668 scopus 로고    scopus 로고
    • New method for accurate prediction of solvent accessibility from protein sequence
    • (2001) Proteins , vol.42 , pp. 1-5
    • Li, X.1    Pan, X.M.2
  • 18
    • 0028109886 scopus 로고
    • Conservation and prediction of solvent accessibility in protein families
    • (1994) Proteins , vol.20 , pp. 216-226
    • Rost, B.1    Sander, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.