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Analysis of Data Fusion Methods in Virtual Screening: Theoretical Model
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Predicting the effectiveness of na�ve data fusion on the basis of system characteristics
inferredcites →https://doi.org/10.1002/asi.20012openalex-snapshot
Fusion of effective retrieval strategies in the same information retrieval system
inferredcites →https://doi.org/10.1007/0-306-46883-2_1openalex-snapshot
Combination of molecular similarity measures using data fusion
inferredcites →https://doi.org/10.1007/978-1-4471-0793-4openalex-snapshot
Combining Artificial Neural Nets
inferredcites →https://doi.org/10.1007/s10791-005-6994-4openalex-snapshot
Comparing Rank and Score Combination Methods for Data Fusion in Information Retrieval
inferredcites →https://doi.org/10.1016/0888-3270(87)90088-4openalex-snapshot
Random data: Analysis and measurement procedures
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Effectiveness of retrieval in similarity searches of chemical databases: a review of performance measures
inferredcites →https://doi.org/10.1021/ci010025xopenalex-snapshot
How Does Consensus Scoring Work for Virtual Library Screening? An Idealized Computer Experiment
inferredcites →https://doi.org/10.1021/ci025591mopenalex-snapshot
Evaluation of Similarity Measures for Searching the Dictionary of Natural Products Database
inferredcites →https://doi.org/10.1021/ci025596jopenalex-snapshot
Combination of Fingerprint-Based Similarity Coefficients Using Data Fusion
inferredcites →https://doi.org/10.1021/ci034231bopenalex-snapshot
Comparison of Fingerprint-Based Methods for Virtual Screening Using Multiple Bioactive Reference Structures
inferredcites →https://doi.org/10.1021/ci034234oopenalex-snapshot
Conditional Probability: A New Fusion Method for Merging Disparate Virtual Screening Results
inferredcites →https://doi.org/10.1021/ci034245hopenalex-snapshot
Calculating Similarities between Biological Activities in the MDL Drug Data Report Database
inferredcites →https://doi.org/10.1021/ci034289qopenalex-snapshot
Virtual Screening Using Protein−Ligand Docking: Avoiding Artificial Enrichment
inferredcites →https://doi.org/10.1021/ci0496144openalex-snapshot
Analysis of Data Fusion Methods in Virtual Screening: Similarity and Group Fusion
inferredcites →https://doi.org/10.1021/ci049867xopenalex-snapshot
Enhancing the Effectiveness of Virtual Screening by Fusing Nearest Neighbor Lists: A Comparison of Similarity Coefficients
inferredcites →https://doi.org/10.1021/ci050034wopenalex-snapshot
Consensus Scoring Criteria for Improving Enrichment in Virtual Screening
inferredcites →https://doi.org/10.1021/ci050283kopenalex-snapshot
Comparison of Consensus Scoring Strategies for Evaluating Computational Models of Protein−Ligand Complexes
inferredcites →https://doi.org/10.1021/ci050296yopenalex-snapshot
The Use of Consensus Scoring in Ligand-Based Virtual Screening
inferredcites →https://doi.org/10.1021/ci950274jopenalex-snapshot
Chemical Similarity Using Physiochemical Property Descriptors
inferredcites →https://doi.org/10.1021/ci9604605openalex-snapshot
Four Association Coefficients for Relating Molecular Similarity Measures
inferredcites →https://doi.org/10.1021/ci960466uopenalex-snapshot
Similarity Searching in Files of Three-Dimensional Chemical Structures: Evaluation of the EVA Descriptor and Combination of Rankings Using Data Fusion
inferredcites →https://doi.org/10.1021/jm990352kopenalex-snapshot
Consensus Scoring: A Method for Obtaining Improved Hit Rates from Docking Databases of Three-Dimensional Structures into Proteins
inferredcites →https://doi.org/10.1109/34.946993openalex-snapshot
On fusers that perform better than best sensor
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Minimum-entropy data partitioning using reversible jump Markov chain Monte Carlo
inferredcites →https://doi.org/10.1115/1.3269865openalex-snapshot
Random Data-Analysis and Measurement Procedures
inferredcites →https://doi.org/10.1145/122860openalex-snapshot
Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
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Analyses of multiple evidence combination
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Proceedings of the 1995 ACM symposium on Applied computing - SAC '95
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Disproving the fusion hypothesis
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Linear and Order Statistics Combiners for Pattern Classification
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Data Mining Approaches for Compound Selection and Iterative Screening
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Ligand‐Based Virtual Screening
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Similarity methods in chemoinformatics
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Combination Rules for Group Fusion in Similarity‐Based Virtual Screening
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Chemoinformatics at the University of Sheffield 2002–2014
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Exploring structure–activity data using the landscape paradigm
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Similarity‐based data mining in files of two‐dimensional chemical structures using fingerprint measures of molecular resemblance
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Similarity Searching Using 2D Structural Fingerprints
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Predicting the Performance of Fingerprint Similarity Searching
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Accelerating Turbo Similarity Searching on Multi-cores and Many-cores Platforms
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Molecular Similarity Searching with Different Similarity Coefficients and Different Molecular Descriptors
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Rank-Score Characteristics (RSC) Function and Cognitive Diversity
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Combinatorial Fusion Analysis in Brain Informatics: Gender Variation in Facial Attractiveness Judgment
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Combinatorial Fusion Analysis in Brain Informatics: Gender Variation in Facial Attractiveness Judgment
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Integrating computational and mixture-based screening of combinatorial libraries
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Brainstorming: weighted voting prediction of inhibitors for protein targets
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On the relevance of query definition in the performance of 3D ligand-based virtual screening
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Dissimilarity-based approaches to compound acquisition
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Multi-output chemometrics model for gasoline compounding
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The Influence of Similarity Measures and Fusion Rules Toward Turbo Similarity Searching
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How Many Fingers Does a Compound Have? Molecular Similarity beyond Chemical Space
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Analysis of Data Fusion Methods in Virtual Screening: Similarity and Group Fusion
inferred← citeshttps://doi.org/10.1021/ci200060sopenalex-snapshot
SHAFTS: A Hybrid Approach for 3D Molecular Similarity Calculation. 1. Method and Assessment of Virtual Screening
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Virtual Screening Data Fusion Using Both Structure- and Ligand-Based Methods
inferred← citeshttps://doi.org/10.1021/ci300463gopenalex-snapshot
Boosting Virtual Screening Enrichments with Data Fusion: Coalescing Hits from Two-Dimensional Fingerprints, Shape, and Docking
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Combination of Similarity Rankings Using Data Fusion
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Hit Expansion Approaches Using Multiple Similarity Methods and Virtualized Query Structures
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Application of Belief Theory to Similarity Data Fusion for Use in Analog Searching and Lead Hopping
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How Similar Are Similarity Searching Methods? A Principal Component Analysis of Molecular Descriptor Space
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Current Trends in Ligand-Based Virtual Screening: Molecular Representations, Data Mining Methods, New Application Areas, and Performance Evaluation
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A Unified, Probabilistic Framework for Structure- and Ligand-Based Virtual Screening
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Docking and Virtual Screening
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Consensus rank orderings of molecular fingerprints illustrate the ‘most genuine’ similarities between marketed drugs and small endogenous human metabolites, but highlight exogenous natural products as the most important ‘natural’ drug transporter substrates
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Enhanced ranking of PknB Inhibitors using data fusion methods
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An overview of molecular fingerprint similarity search in virtual screening
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In silico strategies to study polypharmacology of G-protein-coupled receptors
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Multi-Aspect Candidates for Repositioning: Data Fusion Methods Using Heterogeneous Information Sources
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Understanding the foundations of the structural similarities between marketed drugs and endogenous human metabolites
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IFPTML Mapping of Drug Graphs with Protein and Chromosome Structural Networks vs. Pre-Clinical Assay Information for Discovery of Antimalarial Compounds
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Predictive models as a useful tool for preclinical assay optimization in antimalarial compounds.
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Computational Redesign of Bacterial Biotin Carboxylase Inhibitors Using Structure-Based Virtual Screening of Combinatorial Libraries
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A Simulation Study of the Use of Similarity Fusion for Virtual Screening
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FUSING SIMILARITY RANKINGS IN LIGAND-BASED VIRTUAL SCREENING
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