Literature DB >> 18691150

Synergies of virtual screening approaches.

Ingo Muegge1.   

Abstract

Virtual screening is a knowledge driven approach. Therefore, synergies between different virtual screening methods using information about the drug target as well as about known ligands in combination promise the best results. Finding novel active scaffolds is often a more important success criterion than hit rates of virtual screens. Novelty should also be considered in balance with often weaker activities of virtual screening hits. Virtual screening is most effective if performed in iterations following up on weak primary hits of interest through testing of structural analogs and additional synthesis of compounds.

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Year:  2008        PMID: 18691150     DOI: 10.2174/138955708785132792

Source DB:  PubMed          Journal:  Mini Rev Med Chem        ISSN: 1389-5575            Impact factor:   3.862


  11 in total

Review 1.  Virtual screening: an endless staircase?

Authors:  Gisbert Schneider
Journal:  Nat Rev Drug Discov       Date:  2010-04       Impact factor: 84.694

2.  Prospective evaluation of shape similarity based pose prediction method in D3R Grand Challenge 2015.

Authors:  Ashutosh Kumar; Kam Y J Zhang
Journal:  J Comput Aided Mol Des       Date:  2016-08-02       Impact factor: 3.686

3.  A pose prediction approach based on ligand 3D shape similarity.

Authors:  Ashutosh Kumar; Kam Y J Zhang
Journal:  J Comput Aided Mol Des       Date:  2016-07-05       Impact factor: 3.686

4.  Computer-aided drug design at Boehringer Ingelheim.

Authors:  Ingo Muegge; Andreas Bergner; Jan M Kriegl
Journal:  J Comput Aided Mol Des       Date:  2016-09-20       Impact factor: 3.686

5.  RepurposeVS: A Drug Repurposing-Focused Computational Method for Accurate Drug-Target Signature Predictions.

Authors:  Naiem T Issa; Oakland J Peters; Stephen W Byers; Sivanesan Dakshanamurthy
Journal:  Comb Chem High Throughput Screen       Date:  2015       Impact factor: 1.339

6.  Discovery of a novel IKK-β inhibitor by ligand-based virtual screening techniques.

Authors:  Stefan M Noha; Atanas G Atanasov; Daniela Schuster; Patrick Markt; Nanang Fakhrudin; Elke H Heiss; Olivia Schrammel; Judith M Rollinger; Hermann Stuppner; Verena M Dirsch; Gerhard Wolber
Journal:  Bioorg Med Chem Lett       Date:  2010-10-20       Impact factor: 2.823

7.  Identification of small-molecule inhibitors of the XendoU endoribonucleases family.

Authors:  Rino Ragno; Ubaldo Gioia; Pietro Laneve; Irene Bozzoni; Antonello Mai; Elisa Caffarelli
Journal:  ChemMedChem       Date:  2011-07-29       Impact factor: 3.466

8.  A molecular-modeling toolbox aimed at bridging the gap between medicinal chemistry and computational sciences.

Authors:  Sameh Eid; Adam Zalewski; Martin Smieško; Beat Ernst; Angelo Vedani
Journal:  Int J Mol Sci       Date:  2013-01-04       Impact factor: 5.923

9.  Best of both worlds: on the complementarity of ligand-based and structure-based virtual screening.

Authors:  Fabio Broccatelli; Nathan Brown
Journal:  J Chem Inf Model       Date:  2014-05-30       Impact factor: 4.956

10.  Analysis and Comparison of Vector Space and Metric Space Representations in QSAR Modeling.

Authors:  Samina Kausar; Andre O Falcao
Journal:  Molecules       Date:  2019-04-30       Impact factor: 4.411

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