Hunting for "key residues" in the modeling of globular protein folding: An artificial neural network-based approach

IEEE Transactions on Nanobioscience

Volumn 1, Issue 2, 2002, Pages 85-91

  Sacile, Roberto ^b   Ruggiero, Carmelina ^a,b  

^a IEEE

^b UNIVERSITY OF GENOA   (Italy)

Author keywords

Artificial neural network; Inverse protein folding; Key residues; Protein folding modeling; Protein structure prediction

Indexed keywords

ANGLE MEASUREMENT; COMPUTER SIMULATION; MOLECULAR STRUCTURE; NEURAL NETWORKS; TORSION TESTING;

INVERSE PROTEIN FOLDING; KEY RESIDUES; PROTEIN FOLDING MODELING; PROTEIN STRUCTURE PREDICTION;

PROTEINS;

AMINO ACID; PROTEIN;

AMINO ACID SEQUENCE; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; CHEMICAL MODEL; CHEMICAL STRUCTURE; CHEMISTRY; CLASSIFICATION; COMPUTER SIMULATION; METHODOLOGY; MOLECULAR GENETICS; PROTEIN CONFORMATION; PROTEIN FOLDING; SEQUENCE ANALYSIS;

AMINO ACID SEQUENCE; AMINO ACIDS; COMPUTER SIMULATION; MODELS, CHEMICAL; MODELS, MOLECULAR; MOLECULAR SEQUENCE DATA; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; PROTEIN CONFORMATION; PROTEIN FOLDING; PROTEINS; SEQUENCE ANALYSIS, PROTEIN;

EID: 33744743209     PISSN: 15361241     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNB.2002.806914     Document Type: Article

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