Statistical significance of hierarchical multi-body potentials based on Delaunay tessellation and their application in sequence-structure alignment
about
Lattice protein folding with two and four-body statistical potentials.Nonatomic solvent-driven Voronoi tessellation of proteins: an open tool to analyze protein folds.Delaunay-based nonlocal interactions are sufficient and accurate in protein fold recognition.Identifying essential pairwise interactions in elastic network model using the alpha shape theory.Detecting local residue environment similarity for recognizing near-native structure models.Are distance-dependent statistical potentials considering three interacting bodies superior to two-body statistical potentials for protein structure prediction?Residue contact-count potentials are as effective as residue-residue contact-type potentials for ranking protein decoys.Protein structure prediction using residue- and fragment-environment potentials in CASP11.HORI: a web server to compute Higher Order Residue Interactions in protein structures.Free energies for coarse-grained proteins by integrating multibody statistical contact potentials with entropies from elastic network models.GOAP: a generalized orientation-dependent, all-atom statistical potential for protein structure prediction.HORIBALFRE program: Higher Order Residue Interactions Based ALgorithm for Fold REcognition.Coarse- and fine-grained models for proteins: evaluation by decoy discrimination.A simple probabilistic model of multibody interactions in proteins.A beta-complex statistical four body contact potential combined with a hydrogen bond statistical potential recognizes the correct native structure from protein decoy sets.Anatomy of protein pockets and cavities: measurement of binding site geometry and implications for ligand designDiscrimination of thermophilic and mesophilic proteins.From isotropic to anisotropic side chain representations: comparison of three models for residue contact estimationComputational and experimental approaches to reveal the effects of single nucleotide polymorphisms with respect to disease diagnosticsROTAS: a rotamer-dependent, atomic statistical potential for assessment and prediction of protein structuresChallenges, applications, and recent advances of protein-ligand docking in structure-based drug design.Perspective: Coarse-grained models for biomolecular systems.Inferring ideal amino acid interaction forms from statistical protein contact potentials.Distributions of experimental protein structures on coarse-grained free energy landscapes.Knowledge-based entropies improve the identification of native protein structures.Revisiting the Voronoi description of protein-protein interfaces.Multibody coarse-grained potentials for native structure recognition and quality assessment of protein models.Properties of contact matrices induced by pairwise interactions in proteins.Four-body scoring function for mutagenesis.Directional Force Originating from ATP Hydrolysis Drives the GroEL Conformational Change.Distance-dependent atomic knowledge-based force in protein fold recognition.Fold helical proteins by energy minimization in dihedral space and a DFIRE-based statistical energy function.Predictions of protein segments with the same aminoacid sequence and different secondary structure: a benchmark for predictive methods.
P2860
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P2860
Statistical significance of hierarchical multi-body potentials based on Delaunay tessellation and their application in sequence-structure alignment
description
1997 nî lūn-bûn
@nan
1997 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
1997 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
1997年の論文
@ja
1997年論文
@yue
1997年論文
@zh-hant
1997年論文
@zh-hk
1997年論文
@zh-mo
1997年論文
@zh-tw
1997年论文
@wuu
name
Statistical significance of hi ...... n sequence-structure alignment
@ast
Statistical significance of hi ...... n sequence-structure alignment
@en
type
label
Statistical significance of hi ...... n sequence-structure alignment
@ast
Statistical significance of hi ...... n sequence-structure alignment
@en
prefLabel
Statistical significance of hi ...... n sequence-structure alignment
@ast
Statistical significance of hi ...... n sequence-structure alignment
@en
P2860
P356
P1433
P1476
Statistical significance of hi ...... n sequence-structure alignment
@en
P2093
P2860
P304
P356
10.1002/PRO.5560060711
P577
1997-07-01T00:00:00Z