1
|
The Extent of Cooperativity of Protein Motions Observed with Elastic Network Models Is Similar for Atomic and Coarser-Grained Models.
|
J Chem Theory Comput
|
2006
|
1.33
|
2
|
GOR V server for protein secondary structure prediction.
|
Bioinformatics
|
2005
|
1.30
|
3
|
Inferring ideal amino acid interaction forms from statistical protein contact potentials.
|
Proteins
|
2005
|
1.24
|
4
|
Four-body contact potentials derived from two protein datasets to discriminate native structures from decoys.
|
Proteins
|
2007
|
1.19
|
5
|
MAVENs: motion analysis and visualization of elastic networks and structural ensembles.
|
BMC Bioinformatics
|
2011
|
1.16
|
6
|
Ideal amino acid exchange forms for approximating substitution matrices.
|
Proteins
|
2007
|
1.16
|
7
|
Functional clustering of yeast proteins from the protein-protein interaction network.
|
BMC Bioinformatics
|
2006
|
1.05
|
8
|
Predicting binding sites of hydrolase-inhibitor complexes by combining several methods.
|
BMC Bioinformatics
|
2004
|
1.01
|
9
|
Prediction of protein secondary structure by mining structural fragment database.
|
Polymer (Guildf)
|
2005
|
1.01
|
10
|
The origin and extent of coarse-grained regularities in protein internal packing.
|
Proteins
|
2003
|
1.00
|
11
|
Packing regularities in biological structures relate to their dynamics.
|
Methods Mol Biol
|
2007
|
0.95
|
12
|
Multibody coarse-grained potentials for native structure recognition and quality assessment of protein models.
|
Proteins
|
2011
|
0.95
|
13
|
A Consensus Data Mining secondary structure prediction by combining GOR V and Fragment Database Mining.
|
Protein Sci
|
2006
|
0.94
|
14
|
The ribosome structure controls and directs mRNA entry, translocation and exit dynamics.
|
Phys Biol
|
2008
|
0.93
|
15
|
Human telomerase model shows the role of the TEN domain in advancing the double helix for the next polymerization step.
|
Proc Natl Acad Sci U S A
|
2011
|
0.92
|
16
|
The energy profiles of atomic conformational transition intermediates of adenylate kinase.
|
Proteins
|
2009
|
0.87
|
17
|
Consensus Data Mining (CDM) Protein Secondary Structure Prediction Server: combining GOR V and Fragment Database Mining (FDM).
|
Bioinformatics
|
2007
|
0.87
|
18
|
Effects of protein subunits removal on the computed motions of partial 30S structures of the ribosome.
|
J Chem Theory Comput
|
2008
|
0.86
|
19
|
Potentials 'R' Us web-server for protein energy estimations with coarse-grained knowledge-based potentials.
|
BMC Bioinformatics
|
2010
|
0.85
|
20
|
The importance of slow motions for protein functional loops.
|
Phys Biol
|
2012
|
0.83
|
21
|
Predicting the order in which contacts are broken during single molecule protein stretching experiments.
|
Proteins
|
2008
|
0.83
|
22
|
Statistical measures on residue-level protein structural properties.
|
J Struct Funct Genomics
|
2011
|
0.82
|
23
|
Protein promiscuity: drug resistance and native functions--HIV-1 case.
|
J Biomol Struct Dyn
|
2005
|
0.82
|
24
|
Combining statistical potentials with dynamics-based entropies improves selection from protein decoys and docking poses.
|
J Phys Chem B
|
2012
|
0.82
|
25
|
A DNA-centric look at protein-DNA complexes.
|
Structure
|
2006
|
0.81
|
26
|
Generation and enumeration of compact conformations on the two-dimensional triangular and three-dimensional fcc lattices.
|
J Chem Phys
|
2007
|
0.81
|
27
|
Free energies for coarse-grained proteins by integrating multibody statistical contact potentials with entropies from elastic network models.
|
J Struct Funct Genomics
|
2011
|
0.81
|
28
|
Accurate single-sequence prediction of solvent accessible surface area using local and global features.
|
Proteins
|
2014
|
0.80
|
29
|
Exploration of the relationship between topology and designability of conformations.
|
J Chem Phys
|
2011
|
0.80
|
30
|
Elastic network normal modes provide a basis for protein structure refinement.
|
J Chem Phys
|
2012
|
0.80
|
31
|
Molecular modeling of phosphorylation sites in proteins using a database of local structure segments.
|
J Mol Model
|
2005
|
0.79
|
32
|
Shape-dependent designability studies of lattice proteins.
|
J Phys Condens Matter
|
2007
|
0.79
|
33
|
Chain dimensions and fluctuations in elastomeric networks in which the junctions alternate regularly in their functionality.
|
J Chem Phys
|
2009
|
0.78
|
34
|
Use of machine learning algorithms to classify binary protein sequences as highly-designable or poorly-designable.
|
BMC Bioinformatics
|
2008
|
0.78
|
35
|
Support-vector-machine classification of linear functional motifs in proteins.
|
J Mol Model
|
2005
|
0.78
|
36
|
Conditional entropy in variation-adjusted windows detects selection signatures associated with expression quantitative trait loci (eQTLs).
|
BMC Genomics
|
2015
|
0.78
|
37
|
Predicting the complex structure and functional motions of the outer membrane transporter and signal transducer FecA.
|
Biophys J
|
2008
|
0.78
|
38
|
Structural interpretation of protein-protein interaction network.
|
BMC Struct Biol
|
2010
|
0.77
|
39
|
P.R.E.S.S.--an R-package for exploring residual-level protein structural statistics.
|
J Bioinform Comput Biol
|
2012
|
0.77
|
40
|
Models to Approximate the Motions of Protein Loops.
|
J Chem Theory Comput
|
2010
|
0.77
|
41
|
A global machine learning based scoring function for protein structure prediction.
|
Proteins
|
2013
|
0.77
|
42
|
BioShell-Threading: versatile Monte Carlo package for protein 3D threading.
|
BMC Bioinformatics
|
2014
|
0.77
|
43
|
GENN: a GEneral Neural Network for learning tabulated data with examples from protein structure prediction.
|
Methods Mol Biol
|
2015
|
0.77
|
44
|
Volumes and surface areas: geometries and scaling relationships between coarse- grained and atomic structures.
|
Curr Pharm Des
|
2014
|
0.77
|
45
|
How noise in force fields can affect the structural refinement of protein models?
|
Proteins
|
2011
|
0.76
|
46
|
Short paths in protein structure space originate in graph structure.
|
Proc Natl Acad Sci U S A
|
2009
|
0.75
|
47
|
Orientational distributions of contact clusters in proteins closely resemble those of an icosahedron.
|
Proteins
|
2008
|
0.75
|
48
|
Prediction of side chain orientations in proteins by statistical machine learning methods.
|
J Biomol Struct Dyn
|
2007
|
0.75
|