Literature DB >> 17585754

Lennard-Jones potential and dummy atom settings to overcome the AUTODOCK limitation in treating flexible ring systems.

Stefano Forli1, Maurizio Botta.   

Abstract

Here, we present a setting-up procedure of AutoDock parameters that allows the management of cycle and macrocycle flexibility during the docking process. In particular, the glue dummy atom type is introduced into calculations, and a novel empirical pseudo-Lennard-Jones potential function is applied to describe the intramolecular interactions occurring between two glue dummy atoms. The reliability of such an original protocol is tested by evaluation of 21 cyclic ligands in the corresponding binding site. As a result, the binding mode of 17 ligands is well-reproduced with respect to the X-ray crystallographic structure, with an root-mean-square deviation lower than 2 Angstrom for 15 of them.

Mesh:

Year:  2007        PMID: 17585754     DOI: 10.1021/ci700036j

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  14 in total

1.  Response surface methodology in docking study of small molecule BACE-1 inhibitors.

Authors:  Nima Razzaghi-Asl; Ahmad Ebadi; Najmeh Edraki; Ahmadreza Mehdipour; Sara Shahabipour; Ramin Miri
Journal:  J Mol Model       Date:  2012-05-13       Impact factor: 1.810

2.  Covalent docking using autodock: Two-point attractor and flexible side chain methods.

Authors:  Giulia Bianco; Stefano Forli; David S Goodsell; Arthur J Olson
Journal:  Protein Sci       Date:  2015-07-07       Impact factor: 6.725

3.  Predicting bioactive conformations and binding modes of macrocycles.

Authors:  Andrew Anighoro; Antonio de la Vega de León; Jürgen Bajorath
Journal:  J Comput Aided Mol Des       Date:  2016-09-21       Impact factor: 3.686

4.  D3R Grand Challenge 4: prospective pose prediction of BACE1 ligands with AutoDock-GPU.

Authors:  Diogo Santos-Martins; Jerome Eberhardt; Giulia Bianco; Leonardo Solis-Vasquez; Francesca Alessandra Ambrosio; Andreas Koch; Stefano Forli
Journal:  J Comput Aided Mol Des       Date:  2019-11-06       Impact factor: 3.686

5.  Cyclization and Docking Protocol for Cyclic Peptide-Protein Modeling Using HADDOCK2.4.

Authors:  Vicky Charitou; Siri C van Keulen; Alexandre M J J Bonvin
Journal:  J Chem Theory Comput       Date:  2022-06-02       Impact factor: 6.578

6.  Novel VEGFR-2 kinase inhibitors identified by the back-to-front approach.

Authors:  Kingkan Sanphanya; Suvara K Wattanapitayakul; Suwadee Phowichit; Valery V Fokin; Opa Vajragupta
Journal:  Bioorg Med Chem Lett       Date:  2013-03-20       Impact factor: 2.823

7.  The AutoDock suite at 30.

Authors:  David S Goodsell; Michel F Sanner; Arthur J Olson; Stefano Forli
Journal:  Protein Sci       Date:  2020-09-12       Impact factor: 6.725

8.  Accelerating AutoDock4 with GPUs and Gradient-Based Local Search.

Authors:  Diogo Santos-Martins; Leonardo Solis-Vasquez; Andreas F Tillack; Michel F Sanner; Andreas Koch; Stefano Forli
Journal:  J Chem Theory Comput       Date:  2021-01-06       Impact factor: 6.006

9.  Antiviral potential of 4-hydroxypanduratin A, secondary metabolite of Fingerroot, Boesenbergia pandurata (Schult.), towards Japanese Encephalitis virus NS2B/NS3 protease.

Authors:  Chandrabhan Seniya; Harshal Mishra; Ajay Yadav; Nitin Sagar; Babita Chaturvedi; Kuldeep Uchadia; Gulshan Wadhwa
Journal:  Bioinformation       Date:  2013-01-09

10.  AutoDock4(Zn): an improved AutoDock force field for small-molecule docking to zinc metalloproteins.

Authors:  Diogo Santos-Martins; Stefano Forli; Maria João Ramos; Arthur J Olson
Journal:  J Chem Inf Model       Date:  2014-07-18       Impact factor: 4.956

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