Predicting protein complex geometries with a neural networl

Proteins: Structure, Function and Bioinformatics

Volumn 78, Issue 4, 2010, Pages 1026-1039

  Chae, Myong Ho ^a,b   Krull, Florian ^b   Lorenzen, Stephan ^b   Knapp, Ernst Walter ^a,b  

^a FREIE UNIVERSITÄT BERLIN   (Germany)

^b Department of Biology   (North Korea)

Author keywords

Distance dependent atom pair potential; Energy landscape; Nearnative decoys; Protein protein interaction; Unbound docking

Indexed keywords

HYDROGEN; PROTEIN;

ARTICLE; ATOMIC PARTICLE; CONTROLLED STUDY; DEVICE; GEOMETRY; NERVE CELL NETWORK; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN DOCKING; SCORING SYSTEM; ARTIFICIAL NEURAL NETWORK; CHEMISTRY; METABOLISM; PROTEIN BINDING;

NEURAL NETWORKS (COMPUTER); PROTEIN BINDING; PROTEINS;

EID: 77949318457     PISSN: 08873585     EISSN: 10970134     Source Type: Journal    
DOI: 10.l0022/prot.22626     Document Type: Article

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