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/nrd1549Docking and scoring in virtual screening for drug discovery: methods and applications
resolves10.1073/pnas.1120431109Structure-based ligand discovery for the protein–protein interface of chemokine receptor CXCR4
resolves10.1021/jm011112jSuccessful Virtual Screening for Novel Inhibitors of Human Carbonic Anhydrase: Strategy and Experimental Confirmation
resolves10.1021/jm701500eComprehensive Mechanistic Analysis of Hits from High-Throughput and Docking Screens against β-Lactamase
resolves10.1021/jm100488wComplementarity Between a Docking and a High-Throughput Screen in Discovering New Cruzain Inhibitors
resolves10.1021/jm0003992Detailed Analysis of Scoring Functions for Virtual Screening
resolves10.1021/jm001044lProtein-Based Virtual Screening of Chemical Databases. 1. Evaluation of Different Docking/Scoring Combinations
resolves10.1021/jm050040jParameter Estimation for Scoring Protein−Ligand Interactions Using Negative Training Data
resolves10.1002/prot.20149Comparative evaluation of eight docking tools for docking and virtual screening accuracy
resolves10.1021/ci034289qVirtual Screening Using Protein−Ligand Docking: Avoiding Artificial Enrichment
resolves10.1021/ci9003706Molecular Docking Screens Using Comparative Models of Proteins
resolves10.1007/s10822-012-9575-9Docking 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/s10822-011-9531-0Substantial improvements in large-scale redocking and screening using the novel HYDE scoring function
resolves10.1007/s10822-012-9551-4Pose prediction and virtual screening performance of GOLD scoring functions in a standardized test
resolves10.1007/s10822-007-9167-2Optimization of CAMD techniques 3. Virtual screening enrichment studies: a help or hindrance in tool selection?
resolves10.1021/ci100214aRapid Context-Dependent Ligand Desolvation in Molecular Docking
resolves10.1021/ci2001549DEKOIS: Demanding Evaluation Kits for Objective <i>in Silico</i> Screening — A Versatile Tool for Benchmarking Docking Programs and Scoring Functions
resolves10.1021/ci200412pLigand and Decoy Sets for Docking to G Protein-Coupled Receptors
resolves10.1021/ci8002649Maximum Unbiased Validation (MUV) Data Sets for Virtual Screening Based on PubChem Bioactivity Data
resolves10.1021/ci200309jREPROVIS-DB: A Benchmark System for Ligand-Based Virtual Screening Derived from Reproducible Prospective Applications
resolves10.1021/jm100240hStructure-Based Discovery of A
<sub>2A</sub>
Adenosine Receptor Ligands
resolves10.1038/nchembio.662Ligand 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
resolves10.1021/jm0603365Comparison of Shape-Matching and Docking as Virtual Screening Tools
resolves10.1021/ja042984oStructure-Based Optimization of a Non-β-lactam Lead Results in Inhibitors That Do Not Up-Regulate β-Lactamase Expression in Cell Culture
resolves10.1021/ci100031xConformer Generation with OMEGA: Algorithm and Validation Using High Quality Structures from the Protein Databank and Cambridge Structural Database
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