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Virtual screens

For the generation of targeted libraries, similarity algorithms are useful for computationally screening virtual libraries. Since the number of structures available from such libraries is beyond practical limits, the tools and strategies to be applied for computational screening often differ from the ones used for physically available... [Pg.417]

In a similar method, computer models can also be developed to screen virtual hbraries based on the binding pockets of receptors.34 In this case, the computational models directly probe the binding sites in receptors... [Pg.294]

LEAPFROG algorithm (Sybyl) was used to screen virtual Selection of best monomers leading to MIPs with library of functional monomers high-binding capacity for the template... [Pg.137]

Novel hinge region binding groups were identified from NMR screens, biochemical activity screens, virtual screening and through de novo design from... [Pg.65]

To evaluate the enrichment of a pharmacophore model, a proper set of active and inactive molecules has to be screened virtually. The generation of such validation databases is a difficult task. Ideally, a validation database should contain structurally diverse active compounds and inactive molecules that are structurally related to their... [Pg.119]

Computational chemistry has become an inevitable partner in drug discovery in recent years. One of its contributions to high throughput methods is target-based virtual screening. Virtual screening [38] is often understood as any computational method that is applied to large sets of compound collections some under consid-... [Pg.1153]


See other pages where Virtual screens is mentioned: [Pg.313]    [Pg.383]    [Pg.392]    [Pg.194]    [Pg.1611]    [Pg.97]    [Pg.190]    [Pg.60]    [Pg.444]    [Pg.445]    [Pg.261]    [Pg.230]    [Pg.257]    [Pg.129]    [Pg.195]    [Pg.28]    [Pg.244]    [Pg.194]    [Pg.574]    [Pg.105]    [Pg.338]    [Pg.413]    [Pg.540]    [Pg.34]    [Pg.626]    [Pg.104]    [Pg.19]    [Pg.21]    [Pg.332]   
See also in sourсe #XX -- [ Pg.397 , Pg.435 , Pg.436 ]




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4- Point pharmacophores virtual screening

A Hit Generation by Virtual Screening

Acetylcholinesterase , virtual screening

Algorithmic Engines in Virtual Screening

Application of PSA in Virtual Screening

Application of Pharmacophore Models in Virtual Screening

Application of Scoring Functions in Virtual Screening

Application of Virtual Screening

Applications and Success Stories in Virtual Screening

Applied Virtual Screening Strategies, Recommendations, and Caveats

Bioinformatics, virtual screening

Chemical virtual screening

Chemistry and Virtual Screening

Chemoinformatics virtual screening

Combinatorial libraries virtual screens

Combinatorial libraries with virtual screening

Compound virtual screening

Computational techniques virtual screening

D Ligand-Based Virtual Screening

Datasets, for virtual screening

Diffusion as a Filter Virtual Separation and Ligand Screening

Docking and Pharmacophore Modelling for Virtual Screening

Docking functions virtual screening

Docking-based virtual screening

Drug design virtual screening

Drug design/discovery virtual screening

Drug discovery virtual screening methods

Enrichment in virtual screening

Entering the Real World Virtual Screening Applications

Example Parallel pharmacophore-based virtual screening

Feature Trees Theory and Applications from Large-scale Virtual Screening to Data Analysis

Feature Trees in Similarity Searching and Virtual Screening

Flexible Protein Handling in Docking-Based Virtual Screening

Fragment-Based Approaches in Virtual Screening

Fragment-based virtual screening

Goals of Virtual Screening

Homology model-based virtual screening

Implementation of Cheminformatics Concepts in Structure-based Virtual Screening

Large compound collections, virtual screening

Lead discovery virtual screening

Lead generation virtual screening

Libraries virtual screens

Ligand Based Virtual Screening (LBVS)

Ligand-based virtual screening

Ligand-based virtual screening applications

Ligand-based virtual screening performance evaluations

MFTA Models in Virtual Screening

Machine virtual screening

Machine-learning in virtual screening

Methods for Virtual Screening Principles and Recent Advances

Methods virtual screening

Molecular Similarity as a Foundation and Caveat of Virtual Screening

Parallel pharmacophore-based virtual screening

Pharmacophore Models for Activity Profiling and Parallel Virtual Screening

Pharmacophore Models for Virtual Screening

Pharmacophore virtual screening

Pharmacophores virtual screening

Practical Considerations on Virtual Screening

Practical Virtual Screening Some Final Remarks

Predictive QSAR Models as Virtual Screening Tools

Probabilistic Ligand-based Virtual Screening Methods

Prospective Virtual Screening

Protein Flexibility in Structure-Based Virtual Screening From Models to Algorithms

Protein target-based virtual screening

QSAR models as virtual screening tools

QSAR-based virtual screening

Retrospective virtual screening

Reverse virtual screening

Scaffold hopping and virtual screening

Scaffold hopping potential, virtual screening

Scoring functions virtual screening

Scoring in virtual screening

Screening of virtual library

Screening virtual

Screening virtual

Screening virtual libraries

Shape-based virtual screening

Structure-activity relationships molecular similarity, virtual screening

Structure-activity relationships virtual screening

Structure-based Cheminformatics Approach to Virtual Screening The CoLiBRI Method

Structure-based lead optimization virtual screening

Structure-based virtual screening

Structure-based virtual screening (SBVS

Structure-based virtual screening concepts

Successful Applications of Virtual Screening

Successful Identification of Novel Leads Through Virtual Screening

Target-Based Virtual Screening on Small-Molecule Protein Binding Sites

Targeting Libraries by Virtual Screening

The Challenge of Affinity Prediction Scoring Functions for Structure-Based Virtual Screening

The Process of Virtual Screening

The field round an impurity, screening and virtual bound states

Validated QSAR Models as Virtual Screening Tools

Virtual Screening Application Studies

Virtual Screening Based on Multiple Query Compounds

Virtual Screening Services

Virtual Screening Tool

Virtual Screening in Drug Design

Virtual Screening of Chemical Librarie

Virtual Screening of Chemical Libraries

Virtual Screening on Homology Models

Virtual Screening, performance assessment

Virtual Screening, performance assessment algorithms

Virtual and High-Throughput Screening

Virtual computational screening

Virtual database screening

Virtual fragment screening

Virtual high-throughput screen

Virtual high-throughput screening

Virtual ligand screen

Virtual ligand screening

Virtual screening applications

Virtual screening approaches

Virtual screening basic concepts

Virtual screening combinatorial docking

Virtual screening computational products

Virtual screening consensus scoring

Virtual screening current practices

Virtual screening designing focused libraries

Virtual screening detailed analysis

Virtual screening filter cascade

Virtual screening flowchart

Virtual screening fragment descriptor applications

Virtual screening lead identification

Virtual screening leads

Virtual screening methods Scoring functions

Virtual screening methods for

Virtual screening models

Virtual screening molecular similarity analysis

Virtual screening molecular similarity/diversity

Virtual screening novel lead identification

Virtual screening overview

Virtual screening performance evaluation

Virtual screening process

Virtual screening protocols

Virtual screening seeding experiments

Virtual screening structure-based drug design/discovery

Virtual screening techniques

Virtual screening three-dimensional

Virtual screening weak inhibitors

Virtual screening/assessment

Virtual screens and scaffold hopping

Virtual target-based screening

Water-Sensitive Virtual Screening Approaches and Applications

Water-sensitive virtual screening

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