Predicting the Disulfide Bonding State of Cysteines with Combinations of Kernel Machines

Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology

Volumn 35, Issue 3, 2003, Pages 287-295

  Ceroni, Alessio ^a   Frasconi, Paolo ^a   Passerini, Andrea ^a   Vullo, Alessandro ^a  

^a UNIVERSITY OF FLORENCE   (Italy)

Author keywords

Bonding state of cysteines; Kernel machines; Machine learning; Structural genomics

Indexed keywords

CONFORMATIONS; MOLECULAR BIOLOGY; PROTEINS;

KERNEL MACHINES;

LEARNING SYSTEMS;

EID: 0141990705     PISSN: 13875485     EISSN: None     Source Type: Journal    
DOI: 10.1023/B:VLSI.0000003026.58068.ce     Document Type: Conference Paper

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