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GFscore: A General Nonlinear Consensus Scoring Function for High-Throughput Docking

https://doi.org/10.1021/ci0600758
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Outgoing claims: the papers this work cites, builds on, or argues with.

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The price of innovation: new estimates of drug development costs
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Consensus scoring for ligand/protein interactions
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Comparison of the NCI Open Database with Seven Large Chemical Structural Databases
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How Does Consensus Scoring Work for Virtual Library Screening? An Idealized Computer Experiment
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Impact of Scoring Functions on Enrichment in Docking-Based Virtual Screening: An Application Study on Renin Inhibitors
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Virtual Screening Using Protein−Ligand Docking: Avoiding Artificial Enrichment
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Prediction of Physicochemical Parameters by Atomic Contributions
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Detailed Analysis of Scoring Functions for Virtual Screening
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Fast Calculation of Molecular Polar Surface Area as a Sum of Fragment-Based Contributions and Its Application to the Prediction of Drug Transport Properties
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Protein-Based Virtual Screening of Chemical Databases. 1. Evaluation of Different Docking/Scoring Combinations
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Assessing Scoring Functions for Protein−Ligand Interactions
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Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes
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Evaluation and application of multiple scoring functions for a virtual screening experiment
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Virtual screening of chemical libraries
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Automated analysis of interatomic contacts in proteins.
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CASTp: Computed Atlas of Surface Topography of proteins
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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Docking and Scoring in Drug Discovery
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The Challenge of Affinity Prediction: Scoring Functions for Structure‐Based Virtual Screening
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Reranking Docking Poses Using Molecular Simulations and Approximate Free Energy Methods
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