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Directory of Useful Decoys, Enhanced (DUD-E): Better Ligands and Decoys for Better Benchmarking

https://doi.org/10.1021/jm300687e
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53/53 checkable references clean · checked 2026-09-02

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

The 53 checked references that resolve
resolves10.1038/nrd1549
Docking and scoring in virtual screening for drug discovery: methods and applications
resolves10.1073/pnas.0812657106
Structure-based discovery of β <sub>2</sub> -adrenergic receptor ligands
resolves10.1073/pnas.1120431109
Structure-based ligand discovery for the protein–protein interface of chemokine receptor CXCR4
resolves10.1021/jm011112j
Successful Virtual Screening for Novel Inhibitors of Human Carbonic Anhydrase:  Strategy and Experimental Confirmation
resolves10.1007/s10822-008-9196-5
Recommendations for evaluation of computational methods
resolves10.1021/jm701500e
Comprehensive Mechanistic Analysis of Hits from High-Throughput and Docking Screens against β-Lactamase
resolves10.1021/jm100488w
Complementarity Between a Docking and a High-Throughput Screen in Discovering New Cruzain Inhibitors
resolves10.1002/1521-3773(20020802)41:15<2644::AID-ANIE2644>3.0.CO;2-O
Approaches to the Description and Prediction of the Binding Affinity of Small-Molecule Ligands to Macromolecular Receptors
resolves10.1007/s10822-007-9165-4
Can we use docking and scoring for hit-to-lead optimization?
resolves10.1021/jm0003992
Detailed Analysis of Scoring Functions for Virtual Screening
resolves10.1021/jm001044l
Protein-Based Virtual Screening of Chemical Databases. 1. Evaluation of Different Docking/Scoring Combinations
resolves10.1021/jm050040j
Parameter Estimation for Scoring Protein−Ligand Interactions Using Negative Training Data
resolves10.1002/prot.20149
Comparative evaluation of eight docking tools for docking and virtual screening accuracy
resolves10.1021/jm030489h
Assessing Scoring Functions for Protein−Ligand Interactions
resolves10.1021/jm0608356
Benchmarking Sets for Molecular Docking
resolves10.1007/978-1-61779-465-0_13
How to Benchmark Methods for Structure-Based Virtual Screening of Large Compound Libraries
resolves10.1021/ci034289q
Virtual Screening Using Protein−Ligand Docking:  Avoiding Artificial Enrichment
resolves10.1073/pnas.96.18.9997
The maximal affinity of ligands
resolves10.1021/ci9003706
Molecular Docking Screens Using Comparative Models of Proteins
resolves10.1007/s10822-012-9575-9
Docking performance of the glide program as evaluated on the Astex and DUD datasets: a complete set of glide SP results and selected results for a new scoring function integrating WaterMap and glide
resolves10.1007/s10822-012-9565-y
Evaluation of DOCK 6 as a pose generation and database enrichment tool
resolves10.1007/s10822-012-9547-0
Docking and scoring with ICM: the benchmarking results and strategies for improvement
resolves10.1007/s10822-011-9533-y
Surflex-Dock: Docking benchmarks and real-world application
resolves10.1007/s10822-011-9531-0
Substantial improvements in large-scale redocking and screening using the novel HYDE scoring function
resolves10.1007/s10822-012-9551-4
Pose prediction and virtual screening performance of GOLD scoring functions in a standardized test
resolves10.1007/s10822-012-9549-y
Lead Finder docking and virtual screening evaluation with Astex and DUD test sets
resolves10.1007/s10822-007-9167-2
Optimization of CAMD techniques 3. Virtual screening enrichment studies: a help or hindrance in tool selection?
resolves10.1021/ci8003978
Better than Random? The Chemotype Enrichment Problem
resolves10.1007/s10822-007-9166-3
How to do an evaluation: pitfalls and traps
resolves10.1007/s10822-008-9189-4
Community benchmarks for virtual screening
resolves10.1021/ci100214a
Rapid Context-Dependent Ligand Desolvation in Molecular Docking
resolves10.1021/ci2001549
DEKOIS: Demanding Evaluation Kits for Objective <i>in Silico</i> Screening — A Versatile Tool for Benchmarking Docking Programs and Scoring Functions
resolves10.1021/ci100374f
Virtual Decoy Sets for Molecular Docking Benchmarks
resolves10.1021/ci200412p
Ligand and Decoy Sets for Docking to G Protein-Coupled Receptors
resolves10.1093/bioinformatics/bts249
DecoyFinder: an easy-to-use python GUI application for building target-specific decoy sets
resolves10.1021/ci8002649
Maximum Unbiased Validation (MUV) Data Sets for Virtual Screening Based on PubChem Bioactivity Data
resolves10.1021/ci200309j
REPROVIS-DB: A Benchmark System for Ligand-Based Virtual Screening Derived from Reproducible Prospective Applications
resolves10.1093/nar/gkr777
ChEMBL: a large-scale bioactivity database for drug discovery
resolves10.1021/jm9602928
The Properties of Known Drugs. 1. Molecular Frameworks
resolves10.1093/nar/28.1.235
The Protein Data Bank
resolves10.1093/nar/gkh131
UniProt: the Universal Protein knowledgebase
resolves10.1021/jm9006966
Automated Docking Screens: A Feasibility Study
resolves10.1016/S0969-2126(02)00799-2
Structure-Based Discovery of a Novel, Noncovalent Inhibitor of AmpC β-Lactamase
resolves10.1021/jm100240h
Structure-Based Discovery of A <sub>2A</sub> Adenosine Receptor Ligands
resolves10.1038/nchembio.662
Ligand discovery from a dopamine D3 receptor homology model and crystal structure
resolves10.1021/ci049714+
ZINC − A Free Database of Commercially Available Compounds for Virtual Screening
resolves10.1093/nar/gki058
E-MSD: an integrated data resource for bioinformatics
resolves10.1021/jm0603365
Comparison of Shape-Matching and Docking as Virtual Screening Tools
resolves10.1073/pnas.0813029106
Docking for fragment inhibitors of AmpC β-lactamase
resolves10.1021/ja042984o
Structure-Based Optimization of a Non-β-lactam Lead Results in Inhibitors That Do Not Up-Regulate β-Lactamase Expression in Cell Culture
resolves10.1021/jm0491187
Decoys for Docking
resolves10.1021/ci100031x
Conformer Generation with OMEGA: Algorithm and Validation Using High Quality Structures from the Protein Databank and Cambridge Structural Database
resolves10.1007/s10822-007-9151-x
Bias, reporting, and sharing: computational evaluations of docking methods
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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