Molecular docking: a powerful approach for structure-based drug discovery

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Molecular docking: a powerful approach for structure-based drug discovery is …
instance of (P31):
review articleQ7318358
scholarly articleQ13442814

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P356DOI10.2174/157340911795677602
P932PMC publication ID3151162
P698PubMed publication ID21534921
P5875ResearchGate publication ID51090998

P2093author name stringHong-Xing Zhang
Mihaly Mezei
Meng Cui
Xuan-Yu Meng
P2860cites workLigand docking to proteins with discrete side-chain flexibility.Q52383197
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Protein-ligand binding affinity predictions by implicit solvent simulations: a tool for lead optimization?Q79409335
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The loop opening/closing motion of the enzyme triosephosphate isomeraseQ34167001
The dead-end elimination theorem and its use in protein side-chain positioningQ34177888
Virtual screening: an effective tool for lead structure discovery?Q34263139
A geometric approach to macromolecule-ligand interactionsQ34280176
The many roles of computation in drug discoveryQ34307063
HOOK: a program for finding novel molecular architectures that satisfy the chemical and steric requirements of a macromolecule binding siteQ34324246
The development of a simple empirical scoring function to estimate the binding constant for a protein-ligand complex of known three-dimensional structureQ34326042
Docking and scoring in virtual screening for drug discovery: methods and applicationsQ34364227
Molecular recognition of the inhibitor AG-1343 by HIV-1 protease: conformationally flexible docking by evolutionary programmingQ34447822
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A fast flexible docking method using an incremental construction algorithm.Q52298930
Hammerhead: fast, fully automated docking of flexible ligands to protein binding sites.Q52304046
Flexible ligand docking using a genetic algorithm.Q52346365
Integration of virtual and high-throughput screeningQ34988235
Implications of protein flexibility for drug discoveryQ35167908
A preference-based free-energy parameterization of enzyme-inhibitor binding. Applications to HIV-1-protease inhibitor designQ36279404
Consensus scoring for protein-ligand interactionsQ36458866
Docking and scoring--theoretically easy, practically impossible?Q36638657
Prediction of protein loop structures using a local move Monte Carlo approach and a grid-based force fieldQ37002751
Towards the development of universal, fast and highly accurate docking/scoring methods: a long way to go.Q37014096
Theoretical and practical considerations in virtual screening: a beaten field?Q37066144
Deciphering common failures in molecular docking of ligand-protein complexes.Q38305525
Molecular docking towards drug discoveryQ40947235
Consensus scoring for ligand/protein interactionsQ42670601
Homology modeling of rat and human cytochrome P450 2D (CYP2D) isoforms and computational rationalization of experimental ligand-binding specificities.Q42691686
Docking molecules by families to increase the diversity of hits in database screens: computational strategy and experimental evaluationQ43512278
Docking flexible ligands to macromolecular receptors by molecular shapeQ44113013
LUDI: rule-based automatic design of new substituents for enzyme inhibitor leadsQ44114180
Functionality maps of binding sites: a multiple copy simultaneous search methodQ44440703
Addressing limitations with the MM-GB/SA scoring procedure using the WaterMap method and free energy perturbation calculationsQ44628698
"Soft docking": matching of molecular surface cubesQ44675898
A multiple-start Monte Carlo docking method.Q44677796
Protein flexibility in ligand docking and virtual screening to protein kinases.Q44786754
Empirical free energy calculations of ligand-protein crystallographic complexes. I. Knowledge-based ligand-protein interaction potentials applied to the prediction of human immunodeficiency virus 1 protease binding affinity.Q45771857
A comparative analysis of binding sites between mouse CYP2C38 and CYP2C39 based on homology modeling, molecular dynamics simulation and docking studiesQ46055116
Automated docking in crystallography: analysis of the substrates of aconitaseQ46055675
De novo design of enzyme inhibitors by Monte Carlo ligand generationQ46260419
Computational science new horizons and relevance to pharmaceutical designQ46338915
Molecular docking to ensembles of protein structuresQ46668232
Prediction of the receptor conformation for iGluR2 agonist binding: QM/MM docking to an extensive conformational ensemble generated using normal mode analysisQ46802286
Orientational sampling and rigid-body minimization in molecular docking revisited: on-the-fly optimization and degeneracy removalQ46841895
A detailed comparison of current docking and scoring methods on systems of pharmaceutical relevanceQ47307422
A method for localizing ligand binding pockets in protein structuresQ47604846
Molecular surface recognition by a computer vision-based techniqueQ47634233
Comparison of several molecular docking programs: pose prediction and virtual screening accuracy.Q47708648
Influence of protonation, tautomeric, and stereoisomeric states on protein-ligand docking resultsQ47770572
Evaluation of the performance of four molecular docking programs on a diverse set of protein-ligand complexes.Q51613898
DARWIN: a program for docking flexible molecules.Q51644649
Can we trust docking results? Evaluation of seven commonly used programs on PDBbind database.Q51664708
Modeling and selection of flexible proteins for structure-based drug design: backbone and side chain movements in p38 MAPK.Q51898453
Prediction of binding modes for ligands in the cytochromes P450 and other heme-containing proteins.Q51980286
SMall Molecule Growth 2001 (SMoG2001): an improved knowledge-based scoring function for protein-ligand interactions.Q52038712
GRID/CPCA: a new computational tool to design selective ligands.Q52074933
Fast prediction and visualization of protein binding pockets with PASS.Q52078631
Knowledge-based scoring function to predict protein-ligand interactions.Q52083236
Consensus scoring: A method for obtaining improved hit rates from docking databases of three-dimensional structures into proteins.Q52132563
Ligand solvation in molecular docking.Q52214239
A general and fast scoring function for protein-ligand interactions: a simplified potential approach.Q52222006
An example of a protein ligand found by database mining: description of the docking method and its verification by a 2.3 A X-ray structure of a thrombin-ligand complex.Q52242279
QXP: powerful, rapid computer algorithms for structure-based drug design.Q52260139
P433issue2
P921main subjectdrug discoveryQ1418791
P304page(s)146-157
P577publication date2011-06-01
P1433published inCurrent computer-aided drug designQ27722415
P1476titleMolecular docking: a powerful approach for structure-based drug discovery
P478volume7

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