Literature DB >> 29101520

Protein-ligand docking using FFT based sampling: D3R case study.

Dzmitry Padhorny1,2, David R Hall3, Hanieh Mirzaei4, Artem B Mamonov4, Mohammad Moghadasi4, Andrey Alekseenko5,6, Dmitri Beglov7, Dima Kozakov8,9.   

Abstract

Fast Fourier transform (FFT) based approaches have been successful in application to modeling of relatively rigid protein-protein complexes. Recently, we have been able to adapt the FFT methodology to treatment of flexible protein-peptide interactions. Here, we report our latest attempt to expand the capabilities of the FFT approach to treatment of flexible protein-ligand interactions in application to the D3R PL-2016-1 challenge. Based on the D3R assessment, our FFT approach in conjunction with Monte Carlo minimization off-grid refinement was among the top performing methods in the challenge. The potential advantage of our method is its ability to globally sample the protein-ligand interaction landscape, which will be explored in further applications.

Entities:  

Keywords:  D3R; Drug design data resource; FFT sampling; Protein ligand docking

Mesh:

Substances:

Year:  2017        PMID: 29101520      PMCID: PMC5767528          DOI: 10.1007/s10822-017-0069-7

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  27 in total

1.  Protein docking using spherical polar Fourier correlations.

Authors:  D W Ritchie; G J Kemp
Journal:  Proteins       Date:  2000-05-01

2.  ZDOCK: an initial-stage protein-docking algorithm.

Authors:  Rong Chen; Li Li; Zhiping Weng
Journal:  Proteins       Date:  2003-07-01

3.  How good is automated protein docking?

Authors:  Dima Kozakov; Dmitri Beglov; Tanggis Bohnuud; Scott E Mottarella; Bing Xia; David R Hall; Sandor Vajda
Journal:  Proteins       Date:  2013-10-17

4.  Comparative assessment of scoring functions on a diverse test set.

Authors:  Tiejun Cheng; Xun Li; Yan Li; Zhihai Liu; Renxiao Wang
Journal:  J Chem Inf Model       Date:  2009-04       Impact factor: 4.956

5.  Systematic placement of structural water molecules for improved scoring of protein-ligand interactions.

Authors:  David J Huggins; Bruce Tidor
Journal:  Protein Eng Des Sel       Date:  2011-07-19       Impact factor: 1.650

6.  Energy Minimization on Manifolds for Docking Flexible Molecules.

Authors:  Hanieh Mirzaei; Shahrooz Zarbafian; Elizabeth Villar; Scott Mottarella; Dmitri Beglov; Sandor Vajda; Ioannis Ch Paschalidis; Pirooz Vakili; Dima Kozakov
Journal:  J Chem Theory Comput       Date:  2015-03-10       Impact factor: 6.006

7.  A smoothed backbone-dependent rotamer library for proteins derived from adaptive kernel density estimates and regressions.

Authors:  Maxim V Shapovalov; Roland L Dunbrack
Journal:  Structure       Date:  2011-06-08       Impact factor: 5.006

8.  The impact of side-chain packing on protein docking refinement.

Authors:  Mohammad Moghadasi; Hanieh Mirzaei; Artem Mamonov; Pirooz Vakili; Sandor Vajda; Ioannis Ch Paschalidis; Dima Kozakov
Journal:  J Chem Inf Model       Date:  2015-03-24       Impact factor: 4.956

9.  Confab - Systematic generation of diverse low-energy conformers.

Authors:  Noel M O'Boyle; Tim Vandermeersch; Christopher J Flynn; Anita R Maguire; Geoffrey R Hutchison
Journal:  J Cheminform       Date:  2011-03-16       Impact factor: 5.514

10.  Does a more precise chemical description of protein-ligand complexes lead to more accurate prediction of binding affinity?

Authors:  Pedro J Ballester; Adrian Schreyer; Tom L Blundell
Journal:  J Chem Inf Model       Date:  2014-02-20       Impact factor: 4.956

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  8 in total

1.  Monte Carlo on the manifold and MD refinement for binding pose prediction of protein-ligand complexes: 2017 D3R Grand Challenge.

Authors:  Mikhail Ignatov; Cong Liu; Andrey Alekseenko; Zhuyezi Sun; Dzmitry Padhorny; Sergei Kotelnikov; Andrey Kazennov; Ivan Grebenkin; Yaroslav Kholodov; Istvan Kolosvari; Alberto Perez; Ken Dill; Dima Kozakov
Journal:  J Comput Aided Mol Des       Date:  2018-11-12       Impact factor: 3.686

2.  Sampling and refinement protocols for template-based macrocycle docking: 2018 D3R Grand Challenge 4.

Authors:  Sergei Kotelnikov; Andrey Alekseenko; Cong Liu; Mikhail Ignatov; Dzmitry Padhorny; Emiliano Brini; Mark Lukin; Evangelos Coutsias; Ken A Dill; Dima Kozakov
Journal:  J Comput Aided Mol Des       Date:  2019-12-26       Impact factor: 3.686

3.  Inhibition of protein interactions: co-crystalized protein-protein interfaces are nearly as good as holo proteins in rigid-body ligand docking.

Authors:  Saveliy Belkin; Petras J Kundrotas; Ilya A Vakser
Journal:  J Comput Aided Mol Des       Date:  2018-07-12       Impact factor: 3.686

4.  D3R grand challenge 4: blind prediction of protein-ligand poses, affinity rankings, and relative binding free energies.

Authors:  Conor D Parks; Zied Gaieb; Michael Chiu; Huanwang Yang; Chenghua Shao; W Patrick Walters; Johanna M Jansen; Georgia McGaughey; Richard A Lewis; Scott D Bembenek; Michael K Ameriks; Tara Mirzadegan; Stephen K Burley; Rommie E Amaro; Michael K Gilson
Journal:  J Comput Aided Mol Des       Date:  2020-01-23       Impact factor: 3.686

5.  Accelerated CDOCKER with GPUs, Parallel Simulated Annealing, and Fast Fourier Transforms.

Authors:  Xinqiang Ding; Yujin Wu; Yanming Wang; Jonah Z Vilseck; Charles L Brooks
Journal:  J Chem Theory Comput       Date:  2020-05-18       Impact factor: 6.006

Review 6.  A Review of Deep Learning Methods for Antibodies.

Authors:  Jordan Graves; Jacob Byerly; Eduardo Priego; Naren Makkapati; S Vince Parish; Brenda Medellin; Monica Berrondo
Journal:  Antibodies (Basel)       Date:  2020-04-28

7.  CB-Dock: a web server for cavity detection-guided protein-ligand blind docking.

Authors:  Yang Liu; Maximilian Grimm; Wen-Tao Dai; Mu-Chun Hou; Zhi-Xiong Xiao; Yang Cao
Journal:  Acta Pharmacol Sin       Date:  2019-07-01       Impact factor: 6.150

8.  Unveiling the N-Terminal Homodimerization of BCL11B by Hybrid Solvent Replica-Exchange Simulations.

Authors:  Lukas Schulig; Piotr Grabarczyk; Norman Geist; Martin Delin; Hannes Forkel; Martin Kulke; Mihaela Delcea; Christian A Schmidt; Andreas Link
Journal:  Int J Mol Sci       Date:  2021-03-31       Impact factor: 5.923

  8 in total

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