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Volumn 738, Issue 1-3, 2005, Pages 67-78

Using artificial neural networks to develop molecular mechanics parameters for the modelling of metalloporphyrins. III. Five coordinate Zn(II) porphyrins and the metalloprophyrins of the early 3d metals

Author keywords

Artificial neutral networks; Force field; Metalloporphyrins; Molecular mechanics

Indexed keywords

BENDING (DEFORMATION); CHEMICAL BONDS; CONFORMATIONS; COORDINATION REACTIONS; CRYSTAL STRUCTURE; FORCE CONTROL; ITERATIVE METHODS; MATHEMATICAL MODELS; MOLECULAR STRUCTURE; NEURAL NETWORKS; PARAMETER ESTIMATION; STRETCHING; SUBSTITUTION REACTIONS; TRANSITION METALS;

EID: 14644399781     PISSN: 00222860     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.molstruc.2004.11.028     Document Type: Article
Times cited : (15)

References (83)
  • 29
    • 14644395113 scopus 로고    scopus 로고
    • Hyperchem. Hypercube, Inc., Gainesville, FL, 2002.
    • Hyperchem. Hypercube, Inc., Gainesville, FL, 2002.
  • 44
    • 0003641908 scopus 로고    scopus 로고
    • K.M. Kadish K.M. Smith R. Guilard Academic Press San Diego, CA
    • J.A. Shellnutt K.M. Kadish K.M. Smith R. Guilard The Porphyrin Handbook 2000 Academic Press San Diego, CA 167
    • (2000) The Porphyrin Handbook , pp. 167
    • Shellnutt, J.A.1
  • 49


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.