2014
DOI: 10.1021/ct500592m
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Improved PEP-FOLD Approach for Peptide and Miniprotein Structure Prediction

Abstract: Peptides and mini proteins have many biological and biomedical implications, which motivates the development of accurate methods, suitable for large-scale experiments, to predict their experimental or native conformations solely from sequences. In this study, we report PEP-FOLD2, an improved coarse grained approach for peptide de novo structure prediction and compare it with PEP-FOLD1 and the state-of-the-art Rosetta program. Using a benchmark of 56 structurally diverse peptides with 25-52 amino acids and a to… Show more

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Cited by 550 publications
(440 citation statements)
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References 60 publications
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“…A few successful force fields are available today to treat proteins and combinations of macromolecular entities, such as the Martini or other models [14][15][16][17]. In the last decade, we have been developing the optimized potential for efficient protein structure prediction (OPEP) force field as a result of intensive modelling and validation studies [11,[18][19][20][21][22][23][24][25]. The molecular model is able to reproduce accurately the secondary and tertiary folding of proteins, intermolecular aggregations, internal stability and motions and so forth.…”
Section: Methods (A) Coupling Lattice Boltzmann and Molecular Dynamicsmentioning
confidence: 99%
See 1 more Smart Citation
“…A few successful force fields are available today to treat proteins and combinations of macromolecular entities, such as the Martini or other models [14][15][16][17]. In the last decade, we have been developing the optimized potential for efficient protein structure prediction (OPEP) force field as a result of intensive modelling and validation studies [11,[18][19][20][21][22][23][24][25]. The molecular model is able to reproduce accurately the secondary and tertiary folding of proteins, intermolecular aggregations, internal stability and motions and so forth.…”
Section: Methods (A) Coupling Lattice Boltzmann and Molecular Dynamicsmentioning
confidence: 99%
“…Notably, H-bonds between backbone atoms are modelled by twoand four-body potentials, rather than Coulomb interactions, and the interactions between ion pairs were derived from all-atom PMF calculations. OPEP coupled to various sampling methods has been successful tested on many non-amyloid proteins, recovering experimental structures and thermodynamics properties, [21][22][23][24]28] and protein/protein complexes [25]. Applied to amyloid proteins, OPEP simulations were the first to predict various topologies, such as the β-barrels, that were later identified experimentally [29,30].…”
Section: Methods (A) Coupling Lattice Boltzmann and Molecular Dynamicsmentioning
confidence: 99%
“…De novo structure prediction of the peptides was done in silico using the PEP-FOLD server [36,37]. Membrane association modes of protein and peptide models where predicted using PPM [38].…”
Section: Structure Prediction and CD Deconvolutionmentioning
confidence: 99%
“…The peptide de novo structure was predicted in silico using the PEP-FOLD algorithm [36] (Additional file 3: Figure S2). The MOG-derived peptides, as well as the Influenza hemagglutinin peptide (IA mimic), were predicted to harbor β strands, whereas other MBPmimicking peptides (HSV mimic, EB mimic, and PA mimic) as well as the P2-derived peptide P2gbs, contained an α helix as the dominant predicted secondary structure.…”
Section: Myelin-derived or Myelin-mimicking Peptides Of Potential Relmentioning
confidence: 99%
“…The MHCI allele's 3D structure was achieved from PatchDock algorithm stimulated by object recognition and segmentation techniques of image used in Computer Visualization. It tries to match two parts by selection one part and search for the matching one as complementary [51]. The FireDock server statements used for problem of refinement in protein-protein docking resolutions; The method at the same time targets the flexibility problem and scoring of solutions was produced by docking algorithms as fast rigid-body [52][53][54].…”
Section: Dockingmentioning
confidence: 99%