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Improving Structure-Based Virtual Screening by Multivariate Analysis of Scoring Data

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

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Prediction of the binding energy for small molecules, peptides and proteins
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A Fast Flexible Docking Method using an Incremental Construction Algorithm
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A geometric approach to macromolecule-ligand interactions
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Structure of acetylcholinesterase complexed with E2020 (Aricept®): implications for the design of new anti-Alzheimer drugs
inferredcites →https://doi.org/10.1016/s1093-3263(01)00125-5openalex-snapshot
Consensus scoring for ligand/protein interactions
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High-throughput docking for lead generation
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Comparison of Ranking Methods for Virtual Screening in Lead-Discovery Programs
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From atoms and bonds to three-dimensional atomic coordinates: automatic model builders
inferredcites →https://doi.org/10.1021/jm0003992openalex-snapshot
Detailed Analysis of Scoring Functions for Virtual Screening
inferredcites →https://doi.org/10.1021/jm000477lopenalex-snapshot
Development of New Carboxylic Acid-Based MMP Inhibitors Derived from Functionalized Propargylglycines
inferredcites →https://doi.org/10.1021/jm001044lopenalex-snapshot
Protein-Based Virtual Screening of Chemical Databases. 1. Evaluation of Different Docking/Scoring Combinations
inferredcites →https://doi.org/10.1021/jm001088uopenalex-snapshot
Design, Synthesis, and Structure−Activity Relationships of a Series of 3-[2-(1-Benzylpiperidin-4-yl)ethylamino]pyridazine Derivatives as Acetylcholinesterase Inhibitors
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/10.1023/a:1007413511361openalex-snapshot
On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
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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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Receptor-based 3D QSAR analysis of estrogen receptor ligands – merging the accuracy of receptor-based alignments with the computational efficiency of ligand-based methods
inferredcites →https://doi.org/10.1023/a:1008121029716openalex-snapshot
Identification of ligands for RNA targets via structure-based virtual screening: HIV-1 TAR
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Structure-based 3D QSAR and design of novel acetylcholinesterase inhibitors
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A comparison of the pharmacophore identification programs: Catalyst, DISCO and GASP
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Molecular basis of agonism and antagonism in the oestrogen receptor
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Structure at 1.65 Å of RhoA and its GTPase-activating protein in complex with a transition-state analogue
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Rational discovery of novel nuclear hormone receptor antagonists
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The Linear Interaction Energy Method for Predicting Ligand Binding Free Energies

What points at this work

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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Predicting Cyclooxygenase Inhibition by Three‐Dimensional Pharmacophoric Profiling. Part I: Model Generation, Validation and Applicability in Ethnopharmacology
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Partial Least Squares Discriminant Analysis and 3D Similarity Perspective Applied to Analyze Comprehensively the Selectivity of Glycogen Synthase Kinase 3 Inhibitors
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Scoring Functions
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From Inhibitors of Lap to Inhibitors of Pal
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PLANTS: Application of Ant Colony Optimization to Structure-Based Drug Design
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Application of NMR and Molecular Docking in Structure-Based Drug Discovery
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The estrogen receptor and polyphenols: molecular simulation studies of their interactions, a review
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Pharmacophore modeling and parallel screening for PPAR ligands
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Evaluation of the performance of 3D virtual screening protocols: RMSD comparisons, enrichment assessments, and decoy selection—What can we learn from earlier mistakes?
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VSDMIP: virtual screening data management on an integrated platform
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Elaborate ligand-based modeling reveal new submicromolar Rho kinase inhibitors
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Elaborate ligand-based modeling coupled with QSAR analysis and in silico screening reveal new potent acetylcholinesterase inhibitors
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The use of docking-based comparative intermolecular contacts analysis to identify optimal docking conditions within glucokinase and to discover of new GK activators
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Identification of novel inhibitors for Pim-1 kinase using pharmacophore modeling based on a novel method for selecting pharmacophore generation subsets
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Discovery of potent VEGFR2 inhibitors as anticancer target, using pharmacophore based virtual screening, molecular docking and molecular dynamics simulation
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Receptor–ligand molecular docking
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Pharmacophore modeling
inferred← citeshttps://doi.org/10.53879/id.61.01.13346openalex-snapshot
TECHNIQUES AND ALGORITHMS FOR STRUCTURE-BASED VIRTUAL SCREENING (SBVS): AN OVERVIEW
inferred← citeshttps://doi.org/10.56808/3027-7922.1955openalex-snapshot
In silico docking and pharmacophoric analysis of 3-indolyl pyridine derivatives toward cyclooxygenase-2
inferred← citeshttps://doi.org/10.70675/2b288725z2446z48c5z833ezf53915cd324bopenalex-snapshot
Développement d’outils statistiques d’évaluation de méthodes de criblage virtuel : courbes de prédictivité & Screening Explorer
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