Literature DB >> 26913380

Docking Screens for Novel Ligands Conferring New Biology.

John J Irwin1, Brian K Shoichet1.   

Abstract

It is now plausible to dock libraries of 10 million molecules against targets over several days or weeks. When the molecules screened are commercially available, they may be rapidly tested to find new leads. Although docking retains important liabilities (it cannot calculate affinities accurately nor even reliably rank order high-scoring molecules), it can often can distinguish likely from unlikely ligands, often with hit rates above 10%. Here we summarize the improvements in libraries, target quality, and methods that have supported these advances, and the open access resources that make docking accessible. Recent docking screens for new ligands are sketched, as are the binding, crystallographic, and in vivo assays that support them. Like any technique, controls are crucial, and key experimental ones are reviewed. With such controls, docking campaigns can find ligands with new chemotypes, often revealing the new biology that may be docking's greatest impact over the next few years.

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Year:  2016        PMID: 26913380      PMCID: PMC4865415          DOI: 10.1021/acs.jmedchem.5b02008

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  252 in total

1.  Subnanomolar Inhibitors from Computer Screening: A Model Study Using Human Carbonic Anhydrase II.

Authors:  Sven Grüneberg; Bernd Wendt; Gerhard Klebe
Journal:  Angew Chem Int Ed Engl       Date:  2001-01-19       Impact factor: 15.336

2.  Is there a difference between leads and drugs? A historical perspective.

Authors:  T I Oprea; A M Davis; S J Teague; P D Leeson
Journal:  J Chem Inf Comput Sci       Date:  2001 Sep-Oct

3.  Inhibitors of dihydrodipicolinate reductase, a key enzyme of the diaminopimelate pathway of Mycobacterium tuberculosis.

Authors:  A M Paiva; D E Vanderwall; J S Blanchard; J W Kozarich; J M Williamson; T M Kelly
Journal:  Biochim Biophys Acta       Date:  2001-02-09

4.  Discovery of novel aldose reductase inhibitors using a protein structure-based approach: 3D-database search followed by design and synthesis.

Authors:  Y Iwata; M Arisawa; R Hamada; Y Kita; M Y Mizutani; N Tomioka; A Itai; S Miyamoto
Journal:  J Med Chem       Date:  2001-05-24       Impact factor: 7.446

5.  Structure-based generation of a new class of potent Cdk4 inhibitors: new de novo design strategy and library design.

Authors:  T Honma; K Hayashi; T Aoyama; N Hashimoto; T Machida; K Fukasawa; T Iwama; C Ikeura; M Ikuta; I Suzuki-Takahashi; Y Iwasawa; T Hayama; S Nishimura; H Morishima
Journal:  J Med Chem       Date:  2001-12-20       Impact factor: 7.446

6.  Discovery of small-molecule inhibitors of Bcl-2 through structure-based computer screening.

Authors:  I J Enyedy; Y Ling; K Nacro; Y Tomita; X Wu; Y Cao; R Guo; B Li; X Zhu; Y Huang; Y Q Long; P P Roller; D Yang; S Wang
Journal:  J Med Chem       Date:  2001-12-06       Impact factor: 7.446

7.  Efficient identification of inhibitors targeting the closed active site conformation of the HPRT from Trypanosoma cruzi.

Authors:  D M Freymann; M A Wenck; J C Engel; J Feng; P J Focia; A E Eakin; S P Craig
Journal:  Chem Biol       Date:  2000-12

8.  Discovery of a new inhibitor lead of adenovirus proteinase: steps toward selective, irreversible inhibitors of cysteine proteinases.

Authors:  Y P Pang; K Xu; T M Kollmeyer; E Perola; W J McGrath; D T Green; W F Mangel
Journal:  FEBS Lett       Date:  2001-08-03       Impact factor: 4.124

9.  A new target for shigellosis: rational design and crystallographic studies of inhibitors of tRNA-guanine transglycosylase.

Authors:  U Grädler; H D Gerber; D M Goodenough-Lashua; G A Garcia; R Ficner; K Reuter; M T Stubbs; G Klebe
Journal:  J Mol Biol       Date:  2001-02-23       Impact factor: 5.469

10.  In silico discovery of novel retinoic acid receptor agonist structures.

Authors:  M Schapira; B M Raaka; H H Samuels; R Abagyan
Journal:  BMC Struct Biol       Date:  2001-06-04
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  84 in total

1.  A computational approach yields selective inhibitors of human excitatory amino acid transporter 2 (EAAT2).

Authors:  Kelly L Damm-Ganamet; Marie-Laure Rives; Alan D Wickenden; Heather M McAllister; Taraneh Mirzadegan
Journal:  J Biol Chem       Date:  2020-02-20       Impact factor: 5.157

2.  Improving ligand 3D shape similarity-based pose prediction with a continuum solvent model.

Authors:  Ashutosh Kumar; Kam Y J Zhang
Journal:  J Comput Aided Mol Des       Date:  2019-08-28       Impact factor: 3.686

3.  Binding Mode Prediction and Virtual Screening Applications by Covalent Docking.

Authors:  Andrea Scarpino; György G Ferenczy; György M Keserű
Journal:  Methods Mol Biol       Date:  2021

Review 4.  Modulating the wnt signaling pathway with small molecules.

Authors:  Freddi Huan Tran; Jie J Zheng
Journal:  Protein Sci       Date:  2017-02-11       Impact factor: 6.725

5.  Medicinal Chemistry Profiling of Monocyclic 1,2-Azaborines.

Authors:  Peng Zhao; David O Nettleton; Rajeshri G Karki; Frédéric J Zécri; Shih-Yuan Liu
Journal:  ChemMedChem       Date:  2017-02-21       Impact factor: 3.466

6.  Binding mode similarity measures for ranking of docking poses: a case study on the adenosine A2A receptor.

Authors:  Andrew Anighoro; Jürgen Bajorath
Journal:  J Comput Aided Mol Des       Date:  2016-06-22       Impact factor: 3.686

Review 7.  Selective and Effective: Current Progress in Computational Structure-Based Drug Discovery of Targeted Covalent Inhibitors.

Authors:  Giulia Bianco; David S Goodsell; Stefano Forli
Journal:  Trends Pharmacol Sci       Date:  2020-11-02       Impact factor: 14.819

8.  Customizable de novo design strategies for DOCK: Application to HIVgp41 and other therapeutic targets.

Authors:  William J Allen; Brian C Fochtman; Trent E Balius; Robert C Rizzo
Journal:  J Comput Chem       Date:  2017-09-22       Impact factor: 3.376

9.  Congestion game scheduling for virtual drug screening optimization.

Authors:  Natalia Nikitina; Evgeny Ivashko; Andrei Tchernykh
Journal:  J Comput Aided Mol Des       Date:  2017-12-20       Impact factor: 3.686

10.  Incorporating Explicit Water Molecules and Ligand Conformation Stability in Machine-Learning Scoring Functions.

Authors:  Jianing Lu; Xuben Hou; Cheng Wang; Yingkai Zhang
Journal:  J Chem Inf Model       Date:  2019-10-31       Impact factor: 4.956

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