Literature DB >> 20465522

Structural ensemble in computational drug screening.

Yoshifumi Fukunishi1.   

Abstract

IMPORTANCE OF THE FIELD: Structure-based in silico drug screening is now widely used in drug development projects. Structure-based in silico drug screening is generally performed using a protein-compound docking program and docking scoring function. Many docking programs have been developed over the last 2 decades, but their prediction accuracy remains insufficient. AREAS COVERED IN THIS REVIEW: This review highlights the recent progress of the post-processing of protein-compound complexes after docking. WHAT THE READER WILL GAIN: These methods utilize ensembles of docking poses of compounds to improve the prediction accuracy for the ligand-docking pose and screening results. While the individual docking poses are not reliable, the free energy surface or the most probable docking pose can be estimated from the ensemble of docking poses. TAKE HOME MESSAGE: The protein-compound docking program provides an arbitral rather than a canonical ensemble of docking poses. When the ensemble of docking poses satisfies the canonical ensemble, we can discuss how these post-docking analysis methods work and fail. Thus, improvements to the docking software will be needed in order to generate well-defined ensembles of docking poses.

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Year:  2010        PMID: 20465522     DOI: 10.1517/17425255.2010.486399

Source DB:  PubMed          Journal:  Expert Opin Drug Metab Toxicol        ISSN: 1742-5255            Impact factor:   4.481


  8 in total

1.  Using machine learning to improve ensemble docking for drug discovery.

Authors:  Tanay Chandak; John P Mayginnes; Howard Mayes; Chung F Wong
Journal:  Proteins       Date:  2020-05-25

2.  Free-energy landscape of molecular interactions between endothelin 1 and human endothelin type B receptor: fly-casting mechanism.

Authors:  Junichi Higo; Kota Kasahara; Mitsuhito Wada; Bhaskar Dasgupta; Narutoshi Kamiya; Tomonori Hayami; Ikuo Fukuda; Yoshifumi Fukunishi; Haruki Nakamura
Journal:  Protein Eng Des Sel       Date:  2019-12-31       Impact factor: 1.650

3.  Visualizing ensembles in structural biology.

Authors:  Ryan L Melvin; Freddie R Salsbury
Journal:  J Mol Graph Model       Date:  2016-05-04       Impact factor: 2.518

4.  Combination of consensus and ensemble docking strategies for the discovery of human dihydroorotate dehydrogenase inhibitors.

Authors:  Garri Chilingaryan; Narek Abelyan; Arsen Sargsyan; Karen Nazaryan; Andre Serobian; Hovakim Zakaryan
Journal:  Sci Rep       Date:  2021-06-01       Impact factor: 4.379

Review 5.  Rational identification of enoxacin as a novel V-ATPase-directed osteoclast inhibitor.

Authors:  Edgardo J Toro; David A Ostrov; Thomas J Wronski; L Shannon Holliday
Journal:  Curr Protein Pept Sci       Date:  2012-03       Impact factor: 3.272

6.  Prediction of N-Methyl-D-Aspartate Receptor GluN1-Ligand Binding Affinity by a Novel SVM-Pose/SVM-Score Combinatorial Ensemble Docking Scheme.

Authors:  Max K Leong; Ren-Guei Syu; Yi-Lung Ding; Ching-Feng Weng
Journal:  Sci Rep       Date:  2017-01-06       Impact factor: 4.379

Review 7.  Theory and applications of covalent docking in drug discovery: merits and pitfalls.

Authors:  Hezekiel Mathambo Kumalo; Soumendranath Bhakat; Mahmoud E S Soliman
Journal:  Molecules       Date:  2015-01-27       Impact factor: 4.411

Review 8.  Molecular dynamics simulations: advances and applications.

Authors:  Adam Hospital; Josep Ramon Goñi; Modesto Orozco; Josep L Gelpí
Journal:  Adv Appl Bioinform Chem       Date:  2015-11-19
  8 in total

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