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Assessment of Multiple Binding Modes in Ligand−Protein Docking

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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ConsDock: A new program for the consensus analysis of protein–ligand interactions

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Improved protein–ligand docking using GOLD

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Distributed automated docking of flexible ligands to proteins: Parallel applications of AutoDock 2.4

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Comparison of stochastic optimization methods for receptor–ligand docking

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A new quantum stochastic tunnelling optimisation method for protein–ligand docking

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Detailed Analysis of Scoring Functions for Virtual Screening

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Evaluation of Docking Functions for Protein−Ligand Docking

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Consensus Scoring: A Method for Obtaining Improved Hit Rates from Docking Databases of Three-Dimensional Structures into Proteins

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QXP: Powerful, rapid computer algorithms for structure-based drug design

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A review of protein-small molecule docking methods

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Quantum Mechanics and Path Integrals

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Unraveling principles of lead discovery: from unfrustrated energy landscapes to novel molecular anchors.

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Stochastic Tunneling Approach for Global Minimization of Complex Potential Energy Landscapes

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Energy Landscape Theory, Funnels, Specificity, and Optimal Criterion of Biomolecular Binding

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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New and fast statistical‐thermodynamic method for computation of protein‐ligand binding entropy substantially improves docking accuracy

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Role of binding entropy in the refinement of protein–ligand docking predictions: Analysis based on the use of 11 scoring functions

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Novel statistical‐thermodynamic methods to predict protein‐ligand binding positions using probability distribution functions

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A statistical rescoring scheme for protein–ligand docking: Consideration of entropic effect

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