Assessing protein–ligand interaction scoring functions with the CASF-2013 benchmark
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Title
Assessing protein–ligand interaction scoring functions with the CASF-2013 benchmark
Authors
Keywords
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Journal
Nature Protocols
Volume 13, Issue 4, Pages 666-680
Publisher
Springer Nature
Online
2018-03-09
DOI
10.1038/nprot.2017.114
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Note: Only part of the references are listed.- CSAR 2014: A Benchmark Exercise Using Unpublished Data from Pharma
- (2016) Heather A. Carlson et al. Journal of Chemical Information and Modeling
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- Machine-learning scoring functions to improve structure-based binding affinity prediction and virtual screening
- (2015) Qurrat Ul Ain et al. Wiley Interdisciplinary Reviews-Computational Molecular Science
- PDB-wide collection of binding data: current status of the PDBbind database
- (2014) Zhihai Liu et al. BIOINFORMATICS
- Comparative Assessment of Scoring Functions on an Updated Benchmark: 2. Evaluation Methods and General Results
- (2014) Yan Li et al. Journal of Chemical Information and Modeling
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- (2014) Yan Li et al. Journal of Chemical Information and Modeling
- Extensive Consensus Docking Evaluation for Ligand Pose Prediction and Virtual Screening Studies
- (2014) Tiziano Tuccinardi et al. Journal of Chemical Information and Modeling
- Recent improvements to Binding MOAD: a resource for protein–ligand binding affinities and structures
- (2014) Aqeel Ahmed et al. NUCLEIC ACIDS RESEARCH
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- (2013) Kelly L. Damm-Ganamet et al. Journal of Chemical Information and Modeling
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- (2013) James B. Dunbar et al. Journal of Chemical Information and Modeling
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- (2013) Douglas R. Houston et al. Journal of Chemical Information and Modeling
- Comparison of Molecular Mechanics, Semi-Empirical Quantum Mechanical, and Density Functional Theory Methods for Scoring Protein–Ligand Interactions
- (2013) Nusret Duygu Yilmazer et al. JOURNAL OF PHYSICAL CHEMISTRY B
- CSAR Benchmark Exercise of 2010: Selection of the Protein–Ligand Complexes
- (2011) James B. Dunbar et al. Journal of Chemical Information and Modeling
- CSAR Benchmark Exercise of 2010: Combined Evaluation Across All Submitted Scoring Functions
- (2011) Richard D. Smith et al. Journal of Chemical Information and Modeling
- De novodesign: balancing novelty and confined chemical space
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- AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility
- (2009) Garrett M. Morris et al. JOURNAL OF COMPUTATIONAL CHEMISTRY
- Assessment of programs for ligand binding affinity prediction
- (2008) Ryangguk Kim et al. JOURNAL OF COMPUTATIONAL CHEMISTRY
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