Literature DB >> 26040678

Comparative evaluation of several docking tools for docking small molecule ligands to DC-SIGN.

Gregor Jug1, Marko Anderluh, Tihomir Tomašič.   

Abstract

Five docking tools, namely AutoDock, FRED, CDOCKER, FlexX and GOLD, have been critically examined, with the aim of selecting those most appropriate for use as docking tools for docking molecules to the lectin dendritic cell-specific intercellular adhesion molecule-3-grabbing non-integrin (DC-SIGN). This lectin has been selected for its rather non-druggable binding site, which enables complex interactions that guide the binding of the core monosaccharide. Since optimal orientation is crucial for forming coordination bonds, it was important to assess whether the selected docking tools could reproduce the optimal binding conformation for several oligosaccharides that are known to bind DC-SIGN. Our results show that even widely used docking programs have certain limitations when faced with a rather shallow and featureless binding site, as is the case of DC-SIGN. The FRED docking software (OpenEye Scientific Software, Inc.) was found to score as the best tool for docking ligands to DC-SIGN. The performance of FRED was further assessed on another lectin, Langerin. We have demonstrated that this validated docking protocol could be used for docking to other lectins similar to DC-SIGN.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 26040678     DOI: 10.1007/s00894-015-2713-2

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  44 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

Review 2.  Molecular recognition and docking algorithms.

Authors:  Natasja Brooijmans; Irwin D Kuntz
Journal:  Annu Rev Biophys Biomol Struct       Date:  2003-01-28

3.  Comparative study of several algorithms for flexible ligand docking.

Authors:  Badry D Bursulaya; Maxim Totrov; Ruben Abagyan; Charles L Brooks
Journal:  J Comput Aided Mol Des       Date:  2003-11       Impact factor: 3.686

4.  General and targeted statistical potentials for protein-ligand interactions.

Authors:  Wijnand T M Mooij; Marcel L Verdonk
Journal:  Proteins       Date:  2005-11-01

5.  Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes.

Authors:  M D Eldridge; C W Murray; T R Auton; G V Paolini; R P Mee
Journal:  J Comput Aided Mol Des       Date:  1997-09       Impact factor: 3.686

6.  Distributed automated docking of flexible ligands to proteins: parallel applications of AutoDock 2.4.

Authors:  G M Morris; D S Goodsell; R Huey; A J Olson
Journal:  J Comput Aided Mol Des       Date:  1996-08       Impact factor: 3.686

7.  Carbohydrate-aromatic interactions.

Authors:  Juan Luis Asensio; Ana Ardá; Francisco Javier Cañada; Jesús Jiménez-Barbero
Journal:  Acc Chem Res       Date:  2012-06-15       Impact factor: 22.384

8.  Pre-docking filter for protein and ligand 3D structures.

Authors:  Alisa Wilantho; Sissades Tongsima; Ekachai Jenwitheesuk
Journal:  Bioinformation       Date:  2008-12-31

9.  Structural properties of non-traditional drug targets present new challenges for virtual screening.

Authors:  Ragul Gowthaman; Eric J Deeds; John Karanicolas
Journal:  J Chem Inf Model       Date:  2013-08-13       Impact factor: 4.956

10.  AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility.

Authors:  Garrett M Morris; Ruth Huey; William Lindstrom; Michel F Sanner; Richard K Belew; David S Goodsell; Arthur J Olson
Journal:  J Comput Chem       Date:  2009-12       Impact factor: 3.376

View more
  9 in total

1.  EDGA: A Population Evolution Direction-Guided Genetic Algorithm for Protein-Ligand Docking.

Authors:  Boxin Guan; Changsheng Zhang; Jiaxu Ning
Journal:  J Comput Biol       Date:  2016-02-19       Impact factor: 1.479

2.  Design and Synthesis of Tetrahydroisoquinoline Derivatives as Anti-Angiogenesis and Anti-Cancer Agents.

Authors:  Madhavi Gangapuram; Suresh Eyunni; Wang Zhang; Kinfe K Redda
Journal:  Anticancer Agents Med Chem       Date:  2021       Impact factor: 2.505

3.  Synthesis and Biological Evaluations of Ring Substituted Tetrahydroisoquinolines (THIQs) as Anti-Breast Cancer Agents.

Authors:  Suresh Vk Eyunni; Madhavi Gangapuram; Bereket Mochona; Nelly Mateeva; Kinfe K Redda
Journal:  J Cancer Sci Ther       Date:  2017-07-13

4.  The discovery of a novel compound with potent antitumor activity: virtual screening, synthesis, biological evaluation and preliminary mechanism study.

Authors:  Yuanyuan Jin; Linhu Li; Zhaoyong Yang; Mingliang Liu; Huiyuan Guo; Weiyi Shen
Journal:  Oncotarget       Date:  2017-04-11

5.  An Efficient ABC_DE_Based Hybrid Algorithm for Protein-Ligand Docking.

Authors:  Boxin Guan; Changsheng Zhang; Yuhai Zhao
Journal:  Int J Mol Sci       Date:  2018-04-13       Impact factor: 5.923

6.  Discovery of unsymmetrical aromatic disulfides as novel inhibitors of SARS-CoV main protease: Chemical synthesis, biological evaluation, molecular docking and 3D-QSAR study.

Authors:  Li Wang; Bo-Bo Bao; Guo-Qing Song; Cheng Chen; Xu-Meng Zhang; Wei Lu; Zefang Wang; Yan Cai; Shuang Li; Sheng Fu; Fu-Hang Song; Haitao Yang; Jian-Guo Wang
Journal:  Eur J Med Chem       Date:  2017-06-09       Impact factor: 6.514

7.  Genetic algorithm with a crossover elitist preservation mechanism for protein-ligand docking.

Authors:  Boxin Guan; Changsheng Zhang; Jiaxu Ning
Journal:  AMB Express       Date:  2017-09-13       Impact factor: 3.298

8.  HIGA: A Running History Information Guided Genetic Algorithm for Protein-Ligand Docking.

Authors:  Boxin Guan; Changsheng Zhang; Yuhai Zhao
Journal:  Molecules       Date:  2017-12-15       Impact factor: 4.411

9.  Discovery of a New Drug-like Series of OGT Inhibitors by Virtual Screening.

Authors:  Elena M Loi; Tihomir Tomašič; Cyril Balsollier; Kevin van Eekelen; Matjaž Weiss; Martina Gobec; Matthew G Alteen; David J Vocadlo; Roland J Pieters; Marko Anderluh
Journal:  Molecules       Date:  2022-03-19       Impact factor: 4.411

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.