2015
DOI: 10.1002/jmr.2471
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Improvements, trends, and new ideas in molecular docking: 2012–2013 in review

Abstract: Molecular docking is a computational method for predicting the placement of ligands in the binding sites of their receptor(s). In this review, we discuss the methodological developments that occurred in the docking field in 2012 and 2013, with a particular focus on the more difficult aspects of this computational discipline. The main challenges and therefore focal points for developments in docking, covered in this review, are receptor flexibility, solvation, scoring, and virtual screening. We specifically dea… Show more

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Cited by 233 publications
(174 citation statements)
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“…Docking is also largely used for hit identification, representing the main example of receptor-based virtual screening (VS) procedure: a docking-based approach is commonly reported in several successful VS studies, both alone and in combination with other computational strategies [4][5][6][7][8] . For these reasons, the exponential attention that docking is gaining over time, as proved by the number of novel docking procedures and scoring functions reported in literature only in the last few years, cannot be blamed [9][10][11][12][13][14][15][16][17][18][19][20] . However, the remarkable interest for docking and for the development of new and optimized approaches is mainly due to the fact that the prediction of the actual binding mode of a ligand into a protein target is still far from being an easy task.…”
Section: Introductionmentioning
confidence: 99%
“…Docking is also largely used for hit identification, representing the main example of receptor-based virtual screening (VS) procedure: a docking-based approach is commonly reported in several successful VS studies, both alone and in combination with other computational strategies [4][5][6][7][8] . For these reasons, the exponential attention that docking is gaining over time, as proved by the number of novel docking procedures and scoring functions reported in literature only in the last few years, cannot be blamed [9][10][11][12][13][14][15][16][17][18][19][20] . However, the remarkable interest for docking and for the development of new and optimized approaches is mainly due to the fact that the prediction of the actual binding mode of a ligand into a protein target is still far from being an easy task.…”
Section: Introductionmentioning
confidence: 99%
“…Molecular docking, which aims at predicting and analyzing molecular complexes (see Fig. 1 for an example), is one of the most popular and diversified of these approaches [2]- [4].…”
Section: Introductionmentioning
confidence: 99%
“…Sampling and scoring engender different challenges, but have a combined influence on docking accuracy and performance [7], [8]. Issues related to scoring have been examined in numerous reviews [4]- [6], [9], [10], and will not be discussed here. Instead, the present paper focuses on sampling methods.…”
Section: Introductionmentioning
confidence: 99%
“…It can also be used to identify potential inhibitors, substrates, activators or binding partners from compound libraries that contains few hundreds to millions of compounds. Several recent reviews on molecular docking have appeared [357][358][359][360], so molecular docking principles and approaches will not be covered here.…”
Section: Molecular Docking Studiesmentioning
confidence: 99%
“…These limitations stem, mostly, from the inability of the scoring functions in molecular docking algorithms to account for local and global macromolecular dynamics, in addition to inability to accurately predict covalent interactions and solvent accessibilities: (1) in most cases the protein is modeled as a rigid structure without flexibility; (2) solvation of the active/binding site and of the ligand is usually excluded; (3) free-energy estimation of protein-ligand complexes is largely ignored [357,361,362]. Molecular docking methodology, cavity definition and search algorithms, and thermodynamic scoring functions continue to improve, however [363].…”
Section: Molecular Docking Studiesmentioning
confidence: 99%