Journal ArticleDOI
Latest developments in molecular docking: 2010-2011 in review.
TLDR
The main developments in docking in this period, covered in this review, are receptor flexibility, solvation, fragment docking, postprocessing, docking into homology models, and docking comparisons.Abstract:
The aim of docking is to accurately predict the structure of a ligand within the constraints of a receptor binding site and to correctly estimate the strength of binding. We discuss, in detail, methodological developments that occurred in the docking field in 2010 and 2011, with a particular focus on the more difficult, and sometimes controversial, aspects of this promising computational discipline. The main developments in docking in this period, covered in this review, are receptor flexibility, solvation, fragment docking, postprocessing, docking into homology models, and docking comparisons. Several new, or at least newly invigorated, advances occurred in areas such as nonlinear scoring functions, using machine-learning approaches. This review is strongly focused on docking advances in the context of drug design, specifically in virtual screening and fragment-based drug design. Where appropriate, we refer readers to exemplar case studies.read more
Citations
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PLIP: fully automated protein–ligand interaction profiler
TL;DR: The protein-ligand interaction profiler (PLIP) is presented, a novel web service for fully automated detection and visualization of relevant non-covalent protein–ligand contacts in 3D structures, freely available at projects.tu-dresden.de/plip-web.
Journal ArticleDOI
Comprehensive evaluation of ten docking programs on a diverse set of protein-ligand complexes: the prediction accuracy of sampling power and scoring power.
TL;DR: Overall, the ligand binding poses could be identified in most cases by the evaluated docking programs but the ranks of the binding affinities for the entire dataset could not be well predicted by most docking programs.
Journal ArticleDOI
DOCK 6: Impact of new features and current docking performance
William J. Allen,Trent E. Balius,Sudipto Mukherjee,Scott R. Brozell,Demetri T. Moustakas,P. Therese Lang,David A. Case,Irwin D. Kuntz,Robert C. Rizzo +8 more
TL;DR: This manuscript presents the latest algorithmic and methodological developments to the structure‐based design program DOCK 6.7 focused on an updated internal energy function, new anchor selection control, enhanced minimization options, a footprint similarity scoring function, a symmetry‐corrected root‐mean‐square deviation algorithm, a database filter, and docking forensic tools.
Journal ArticleDOI
Receptor–ligand molecular docking
TL;DR: The main topics and recent computational and methodological advances in protein–ligand docking are summarised, including protein flexibility, multiple ligand binding modes and the free-energy landscape profile for binding affinity prediction.
Journal ArticleDOI
Oncogenic protein interfaces: small molecules, big challenges
TL;DR: Some of the latest techniques to discover modulators of protein–protein interactions are described and how current drug discovery approaches have been adapted to successfully target these interfaces are described.
References
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Antibody Recognition of Cancer-Related Gangliosides and Their Mimics Investigated Using in silico Site Mapping
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Structure-Based Virtual Screening of Glycogen Synthase Kinase 3β Inhibitors: Analysis of Scoring Functions Applied to Large True Actives and Decoy Sets
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Journal ArticleDOI
Evaluation of Several Two-Step Scoring Functions Based on Linear Interaction Energy, Effective Ligand Size, and Empirical Pair Potentials for Prediction of Protein-Ligand Binding Geometry and Free Energy
Obaidur Rahaman,Trilce Estrada,Douglas J. Doren,Michela Taufer,Charles L. Brooks,Roger S. Armen +5 more
TL;DR: Reasonable performance of the scoring functions in enrichment of active compounds in four different protein target classes established that the parameters for S1 and S2 provided reasonable accuracy and transferability.
Journal ArticleDOI
Progress in the structural prediction of G protein-coupled receptors: D3 receptor in complex with eticlopride.
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Journal ArticleDOI
Significant Enhancement of Docking Sensitivity using Implicit Ligand Sampling
Mengang Xu,Markus A. Lill +1 more
TL;DR: It is demonstrated that the ligand-model approach yields significant improvements in predicting native-like binding poses and quantifying binding affinities compared to static docking and ensemble docking simulations into protein structures generated from an apo MD simulation.
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