In silico predictions of 3D structures of linear and cyclic peptides with natural and non-proteinogenic residues

Journal of Peptide Science

Volumn 18, Issue 1, 2012, Pages 17-24

  Beaufays, Jérôme ^a   Lins, Laurence ^a   Thomas, Annick ^a   Brasseur, Robert ^a  

^a UNIVERSITY OF LIÈGE   (Belgium)

Author keywords

Boltzmann Stochastic; Cyclic peptides; Modeling; Non natural peptides; Structure prediction

Indexed keywords

CYCLOPEPTIDE;

AB INITIO CALCULATION; ARTICLE; COMPUTER MODEL; HIDDEN MARKOV MODEL; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PREDICTION; PRIORITY JOURNAL; PROTEIN DATA BANK; PROTEIN STRUCTURE; THREE DIMENSIONAL IMAGING; X RAY CRYSTALLOGRAPHY;

ALGORITHMS; AMINO ACID SEQUENCE; COMPUTER SIMULATION; DRUG DESIGN; DRUG DISCOVERY; MODELS, MOLECULAR; MOLECULAR SEQUENCE DATA; PEPTIDES, CYCLIC; PROTEIN FOLDING; PROTEIN STRUCTURE, SECONDARY; SOFTWARE;

EID: 84355162103     PISSN: 10752617     EISSN: 10991387     Source Type: Journal    
DOI: 10.1002/psc.1410     Document Type: Article

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