A generative, probabilistic model of local protein structure
about
A probabilistic model of RNA conformational spacePotentials of mean force for protein structure prediction vindicated, formalized and generalizedPredicting continuous local structure and the effect of its substitution for secondary structure in fragment-free protein structure predictionA Probabilistic Graphical Model for Ab Initio FoldingA probabilistic and continuous model of protein conformational space for template-free modelingLearning sparse models for a dynamic Bayesian network classifier of protein secondary structureAn Algebro-topological description of protein domain structureFragment-free approach to protein folding using conditional neural fieldsFormulation of probabilistic models of protein structure in atomic detail using the reference ratio method.Detecting protein candidate fragments using a structural alphabet profile comparison approach.Toward an accurate prediction of inter-residue distances in proteins using 2D recursive neural networks.Equilibrium simulations of proteins using molecular fragment replacement and NMR chemical shifts.Bayesian model of protein primary sequence for secondary structure prediction.Bayesian inference of protein structure from chemical shift data.Probabilistic models and machine learning in structural bioinformatics.De novo protein conformational sampling using a probabilistic graphical model.Predicting dihedral angle probability distributions for protein coil residues from primary sequence using neural networksEffective protein conformational sampling based on predicted torsion angles.FRAGSION: ultra-fast protein fragment library generation by IOHMM sampling.UniCon3D: de novo protein structure prediction using united-residue conformational search via stepwise, probabilistic samplingBeyond rotamers: a generative, probabilistic model of side chains in proteins.Calculation of accurate small angle X-ray scattering curves from coarse-grained protein modelsA DIRICHLET PROCESS MIXTURE OF HIDDEN MARKOV MODELS FOR PROTEIN STRUCTURE PREDICTIONProtein Structure Classification and Loop Modeling Using Multiple Ramachandran Distributions.Incorporation of local structural preference potential improves fold recognition.Trends in template/fragment-free protein structure predictionA Generative Angular Model of Protein Structure Evolution.Assessing protein conformational sampling methods based on bivariate lag-distributions of backbone anglesRotamer decomposition and protein dynamics: efficiently analyzing dihedral populations from molecular dynamics.A simple probabilistic model of multibody interactions in proteins.PHAISTOS: a framework for Markov chain Monte Carlo simulation and inference of protein structure.Inference of structure ensembles of flexible biomolecules from sparse, averaged dataBayesian inference of protein ensembles from SAXS data.Mocapy++--a toolkit for inference and learning in dynamic Bayesian networks.Three-dimensional modeling of chromatin structure from interaction frequency data using Markov chain Monte Carlo sampling.Near-native protein loop sampling using nonparametric density estimation accommodating sparcity.Predicting most probable conformations of a given peptide sequence in the random coil state.Bayesian weighting of statistical potentials in NMR structure calculationGenerative models of conformational dynamics.A novel topology for representing protein folds.
P2860
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P2860
A generative, probabilistic model of local protein structure
description
2008 nî lūn-bûn
@nan
2008 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
A generative, probabilistic model of local protein structure
@ast
A generative, probabilistic model of local protein structure
@en
A generative, probabilistic model of local protein structure
@en-gb
A generative, probabilistic model of local protein structure
@nl
type
label
A generative, probabilistic model of local protein structure
@ast
A generative, probabilistic model of local protein structure
@en
A generative, probabilistic model of local protein structure
@en-gb
A generative, probabilistic model of local protein structure
@nl
prefLabel
A generative, probabilistic model of local protein structure
@ast
A generative, probabilistic model of local protein structure
@en
A generative, probabilistic model of local protein structure
@en-gb
A generative, probabilistic model of local protein structure
@nl
P2860
P50
P3181
P356
P1476
A generative, probabilistic model of local protein structure
@en
P2093
Jesper Ferkinghoff-Borg
P2860
P304
P3181
P356
10.1073/PNAS.0801715105
P407
P577
2008-07-01T00:00:00Z
P5875
P6179
1029794048