An accurate, residue-level, pair potential of mean force for folding and binding based on the distance-scaled, ideal-gas reference state.

scientific article published on February 2004

An accurate, residue-level, pair potential of mean force for folding and binding based on the distance-scaled, ideal-gas reference state. is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1110/PS.03348304
P932PMC publication ID2286718
P698PubMed publication ID14739325
P5875ResearchGate publication ID8344736

P50authorChi ZhangQ51371834
P2093author name stringSong Liu
Yaoqi Zhou
Hongyi Zhou
P2860cites workA protein folding potential that places the native states of a large number of proteins near a local minimumQ24801602
Ab initio construction of protein tertiary structures using a hierarchical approachQ28139024
Ab initio protein structure prediction of CASP III targets using ROSETTAQ28145980
Protein folding: from the levinthal paradox to structure predictionQ28146200
Protein structure prediction and structural genomicsQ28190526
Protein-protein docking predictions for the CAPRI experimentQ28208464
Analysing six types of protein-protein interfacesQ28218092
Recognition of errors in three-dimensional structures of proteinsQ28249658
A simplified representation of protein conformations for rapid simulation of protein foldingQ28269973
A new approach to protein fold recognitionQ28270933
Energy functions that discriminate X-ray and near native folds from well-constructed decoysQ28278562
From Levinthal to pathways to funnelsQ28300934
Verification of protein structures: patterns of nonbonded atomic interactionsQ29615613
VERIFY3D: assessment of protein models with three-dimensional profilesQ29615886
Assembly of protein tertiary structures from fragments with similar local sequences using simulated annealing and Bayesian scoring functionsQ29616398
A combined approach for ab initio construction of low resolution protein tertiary structures from sequence.Q30322118
Environment-dependent residue contact energies for proteins.Q30326368
Effective energy functions for protein structure prediction.Q30326636
Recent improvements in prediction of protein structure by global optimization of a potential energy function.Q30327941
Prospects for ab initio protein structural genomics.Q30327964
A distance-dependent atomic knowledge-based potential for improved protein structure selection.Q30328397
TOUCHSTONE: an ab initio protein structure prediction method that uses threading-based tertiary restraints.Q30328552
Statistical potentials for fold assessment.Q30329417
Ab initio protein structure prediction on a genomic scale: application to the Mycoplasma genitalium genomeQ30330160
Protein structure prediction in 2002.Q30331196
Evaluating CASP4 predictions with physical energy functions.Q30331647
Development of unified statistical potentials describing protein-protein interactions.Q30332549
A Novel Approach to Decoy Set Generation: Designing a Physical Energy Function Having Local Minima with Native Structure CharacteristicsQ30332832
TOUCHSTONE II: a new approach to ab initio protein structure predictionQ30333234
An improved protein decoy set for testing energy functions for protein structure prediction.Q30333352
Simplicial edge representation of protein structures and alpha contact potential with confidence measure.Q30336275
A lattice model for protein structure prediction at low resolutionQ30349746
An all-atom distance-dependent conditional probability discriminatory function for protein structure predictionQ30429585
Selection of representative protein data setsQ30827454
An empirical energy function for threading protein sequence through the folding motifQ34365419
Identification of protein oligomerization states by analysis of interface conservationQ34687510
Packing helices in proteins by global optimization of a potential energy functionQ34761553
Discrimination of native protein structures using atom-atom contact scoringQ34867791
Genome-wide studies of protein-protein interactionQ35165250
An evolutionary approach to folding small alpha-helical proteins that uses sequence information and an empirical guiding fitness functionQ35233900
Are proteins ideal mixtures of amino acids? Analysis of energy parameter setsQ36278905
Pair potentials for protein folding: choice of reference states and sensitivity of predicted native states to variations in the interaction schemesQ36281424
Distance-scaled, finite ideal-gas reference state improves structure-derived potentials of mean force for structure selection and stability predictionQ38270534
Medium- and long-range interaction parameters between amino acids for predicting three-dimensional structures of proteinsQ41063147
Protein-protein docking with a reduced protein model accounting for side-chain flexibilityQ42102959
Statistical potentials extracted from protein structures: how accurate are they?Q46096070
Quantifying the effect of burial of amino acid residues on protein stabilityQ47296179
A physical reference state unifies the structure-derived potential of mean force for protein folding and binding.Q47430872
An orientation-dependent hydrogen bonding potential improves prediction of specificity and structure for proteins and protein-protein complexesQ47614219
Discriminating between homodimeric and monomeric proteins in the crystalline stateQ47620467
Inter-residue potentials in globular proteins and the dominance of highly specific hydrophilic interactions at close separationQ47627928
Factors influencing the ability of knowledge-based potentials to identify native sequence-structure matchesQ47633923
Residue frequencies and pairing preferences at protein-protein interfaces.Q52066467
Comparison of two optimization methods to derive energy parameters for protein folding: perceptron and Z score.Q52074689
Combination of threading potentials and sequence profiles improves fold recognition.Q52081617
Use of pair potentials across protein interfaces in screening predicted docked complexes.Q52214942
Prediction of protein tertiary structure to low resolution: performance for a large and structurally diverse test set.Q52215037
Calculation of conformational ensembles from potentials of mean force. An approach to the knowledge-based prediction of local structures in globular proteins.Q52451138
Protein Folding: A Perspective from Theory and Experiment.Q54308010
De Novo Prediction of Three-dimensional Structures for Major Protein FamiliesQ56999399
Identification of native protein folds amongst a large number of incorrect models. The calculation of low energy conformations from potentials of mean forceQ68363646
Modeling of protein interactions in genomesQ74054756
Distance-dependent, pair potential for protein folding: results from linear optimizationQ74177419
An empirical energy potential with a reference state for protein fold and sequence recognitionQ78010864
Atomic contact vectors in protein‐protein recognitionQ79210060
P433issue2
P304page(s)400-411
P577publication date2004-02-01
P1433published inProtein ScienceQ7251445
P1476titleAn accurate, residue-level, pair potential of mean force for folding and binding based on the distance-scaled, ideal-gas reference state
P478volume13

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cites work (P2860)
Q30385731A Transferable Coarse Grain Non-bonded Interaction Model For Amino Acids.
Q42662065A coarse-grained potential for fold recognition and molecular dynamics simulations of proteins
Q25256785A decoy set for the thermostable subdomain from chicken villin headpiece, comparison of different free energy estimators
Q30360329A free-rotating and self-avoiding chain model for deriving statistical potentials based on protein structures
Q51900421A knowledge-based potential function predicts the specificity and relative binding energy of RNA-binding proteins.
Q30372993A knowledge-based structure-discriminating function that requires only main-chain atom coordinates.
Q30384252A pairwise residue contact area-based mean force potential for discrimination of native protein structure.
Q58658646A refined hydrogen bond potential for flexible protein models
Q34548177A structural-based strategy for recognition of transcription factor binding sites
Q30361590Ab initio protein structure prediction using chunk-TASSER
Q47093580All-Atom Four-Body Knowledge-Based Statistical Potentials to Distinguish Native Protein Structures from Nonnative Folds
Q42554397An all-atom knowledge-based energy function for protein-DNA threading, docking decoy discrimination, and prediction of transcription-factor binding profiles
Q43058076Application of MM/PBSA colony free energy to loop decoy discrimination: toward correlation between energy and root mean square deviation.
Q39729875Application of information theory to feature selection in protein docking
Q30375641Artefacts and biases affecting the evaluation of scoring functions on decoy sets for protein structure prediction.
Q51936824Assessment of protein folding potentials with an evolutionary method.
Q30424079Coarse- and fine-grained models for proteins: evaluation by decoy discrimination
Q33932508Comparison of the protein-protein interfaces in the p53-DNA crystal structures: towards elucidation of the biological interface
Q30360853Computational approaches for rational design of proteins with novel functionalities
Q36393106DDOMAIN: Dividing structures into domains using a normalized domain-domain interaction profile
Q30353658Delaunay-based nonlocal interactions are sufficient and accurate in protein fold recognition.
Q33821576Detecting remotely related proteins by their interactions and sequence similarity
Q30401700Discrimination of Native-like States of Membrane Proteins with Implicit Membrane-based Scoring Functions.
Q30368864Discriminative learning for protein conformation sampling.
Q51454003Distance-dependent atomic knowledge-based force in protein fold recognition.
Q30477470Dynamic protein domains: identification, interdependence, and stability
Q30377118Explicit orientation dependence in empirical potentials and its significance to side-chain modeling
Q51960451Fold helical proteins by energy minimization in dihedral space and a DFIRE-based statistical energy function.
Q41766036Folding processes of the B domain of protein A to the native state observed in all-atom ab initio folding simulations
Q33894160Free-energy function for discriminating the native fold of a protein from misfolded decoys
Q30402159Fully differentiable coarse-grained and all-atom knowledge-based potentials for RNA structure evaluation
Q35757341GARN: Sampling RNA 3D Structure Space with Game Theory and Knowledge-Based Scoring Strategies
Q42212125Homology modelling of protein-protein complexes: a simple method and its possibilities and limitations.
Q51012522InterEvScore: a novel coarse-grained interface scoring function using a multi-body statistical potential coupled to evolution.
Q33533367Limitations of Ab initio predictions of peptide binding to MHC class II molecules
Q24599630Low-homology protein threading
Q33300912M-TASSER: an algorithm for protein quaternary structure prediction
Q30402435MQAPRank: improved global protein model quality assessment by learning-to-rank.
Q39310535Modeling of mammalian olfactory receptors and docking of odorants
Q39877524Multiscale methods for protein folding simulations
Q30403122NCACO-score: an effective main-chain dependent scoring function for structure modeling
Q36545654Navigating the protein fitness landscape with Gaussian processes
Q30386627New statistical potential for quality assessment of protein models and a survey of energy functions
Q30355189Novel knowledge-based mean force potential at the profile level
Q36393213OPUS-Ca: a knowledge-based potential function requiring only Calpha positions
Q30366976OPUS-PSP: an orientation-dependent statistical all-atom potential derived from side-chain packing.
Q33732145Optimizing structural modeling for a specific protein scaffold: knottins or inhibitor cystine knots
Q51562854PROCOS: computational analysis of protein-protein complexes.
Q21562146Potentials of mean force for protein structure prediction vindicated, formalized and generalized
Q36692693Predictive Bcl-2 family binding models rooted in experiment or structure
Q33305650Protein model quality assessment prediction by combining fragment comparisons and a consensus C(alpha) contact potential
Q24801775Quantitative evaluation of protein-DNA interactions using an optimized knowledge-based potential
Q33292243Recognizing protein-protein interfaces with empirical potentials and reduced amino acid alphabets
Q36389629Reduced C(beta) statistical potentials can outperform all-atom potentials in decoy identification
Q42582708Refining homology models by combining replica-exchange molecular dynamics and statistical potentials
Q33279691Scoring predictive models using a reduced representation of proteins: model and energy definition.
Q42257042Scoring protein interaction decoys using exposed residues (SPIDER): a novel multibody interaction scoring function based on frequent geometric patterns of interfacial residues
Q41840427Self-complementarity within proteins: bridging the gap between binding and folding
Q45976828Self-learning multiscale simulation for achieving high accuracy and high efficiency simultaneously.
Q42380648Sequence composition and environment effects on residue fluctuations in protein structures
Q30391881Sorting protein decoys by machine-learning-to-rank
Q34260787Structural informatics, modeling, and design with an open-source Molecular Software Library (MSL).
Q30355328Structure prediction of helical transmembrane proteins at two length scales.
Q28476470Structure-based drug design of a new chemical class of small molecules active against influenza A nucleoprotein in vitro and in vivo
Q53213841Study of protein structural deformations under external mechanical perturbations by a coarse-grained simulation method.
Q33856208Target-specific support vector machine scoring in structure-based virtual screening: computational validation, in vitro testing in kinases, and effects on lung cancer cell proliferation
Q30419445Template-based protein structure modeling using the RaptorX web server.
Q33781091Towards universal structure-based prediction of class II MHC epitopes for diverse allotypes
Q36379128Using the unfolded state as the reference state improves the performance of statistical potentials
Q30424100eThread: a highly optimized machine learning-based approach to meta-threading and the modeling of protein tertiary structures
Q30352493eVolver: an optimization engine for evolving protein sequences to stabilize the respective structures.

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