The design of a peptide sequence to inhibit HIV replication: a search algorithm combining Monte Carlo and self-consistent mean field techniques.
about
Exploiting tRNAs to Boost VirulenceAdding energy minimization strategy to peptide-design algorithm enables better search for RNA-binding peptides: Redesigned λ N peptide binds boxB RNA.Amino acid signature enables proteins to recognize modified tRNA.MFPred: Rapid and accurate prediction of protein-peptide recognition multispecificity using self-consistent mean field theory.Introducing folding stability into the score function for computational design of RNA-binding peptides boosts the probability of success.Simulation study of the ability of a computationally-designed peptide to recognize target tRNALys3 and other decoy tRNAs.Molecular recognition mechanism of peptide chain bound to the tRNA(Lys3) anticodon loop in silico.
P2860
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P2860
The design of a peptide sequence to inhibit HIV replication: a search algorithm combining Monte Carlo and self-consistent mean field techniques.
description
2013 nî lūn-bûn
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2013年の論文
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2013年論文
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2013年論文
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name
The design of a peptide sequen ...... sistent mean field techniques.
@en
The design of a peptide sequen ...... sistent mean field techniques.
@nl
type
label
The design of a peptide sequen ...... sistent mean field techniques.
@en
The design of a peptide sequen ...... sistent mean field techniques.
@nl
prefLabel
The design of a peptide sequen ...... sistent mean field techniques.
@en
The design of a peptide sequen ...... sistent mean field techniques.
@nl
P2860
P1476
The design of a peptide sequen ...... sistent mean field techniques.
@en
P2093
Paul F Agris
Xingqing Xiao
P2860
P304
P356
10.1080/07391102.2013.825757
P577
2013-10-23T00:00:00Z