Literature DB >> 28623486

GalaxyDock BP2 score: a hybrid scoring function for accurate protein-ligand docking.

Minkyung Baek1, Woong-Hee Shin1,2, Hwan Won Chung3,4, Chaok Seok5,6.   

Abstract

Protein-ligand docking is a useful tool for providing atomic-level understanding of protein functions in nature and design principles for artificial ligands or proteins with desired properties. The ability to identify the true binding pose of a ligand to a target protein among numerous possible candidate poses is an essential requirement for successful protein-ligand docking. Many previously developed docking scoring functions were trained to reproduce experimental binding affinities and were also used for scoring binding poses. However, in this study, we developed a new docking scoring function, called GalaxyDock BP2 Score, by directly training the scoring power of binding poses. This function is a hybrid of physics-based, empirical, and knowledge-based score terms that are balanced to strengthen the advantages of each component. The performance of the new scoring function exhibits significant improvement over existing scoring functions in decoy pose discrimination tests. In addition, when the score is used with the GalaxyDock2 protein-ligand docking program, it outperformed other state-of-the-art docking programs in docking tests on the Astex diverse set, the Cross2009 benchmark set, and the Astex non-native set. GalaxyDock BP2 Score and GalaxyDock2 with this score are freely available at http://galaxy.seoklab.org/softwares/galaxydock.html .

Entities:  

Keywords:  Decoy discrimination; Docking scoring function; Energy parameter optimization; Hybrid scoring function; Molecular docking

Mesh:

Substances:

Year:  2017        PMID: 28623486     DOI: 10.1007/s10822-017-0030-9

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


  56 in total

1.  Assessing scoring functions for protein-ligand interactions.

Authors:  Philippe Ferrara; Holger Gohlke; Daniel J Price; Gerhard Klebe; Charles L Brooks
Journal:  J Med Chem       Date:  2004-06-03       Impact factor: 7.446

2.  Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy.

Authors:  Richard A Friesner; Jay L Banks; Robert B Murphy; Thomas A Halgren; Jasna J Klicic; Daniel T Mainz; Matthew P Repasky; Eric H Knoll; Mee Shelley; Jason K Perry; David E Shaw; Perry Francis; Peter S Shenkin
Journal:  J Med Chem       Date:  2004-03-25       Impact factor: 7.446

3.  Extra precision glide: docking and scoring incorporating a model of hydrophobic enclosure for protein-ligand complexes.

Authors:  Richard A Friesner; Robert B Murphy; Matthew P Repasky; Leah L Frye; Jeremy R Greenwood; Thomas A Halgren; Paul C Sanschagrin; Daniel T Mainz
Journal:  J Med Chem       Date:  2006-10-19       Impact factor: 7.446

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.  LigDockCSA: protein-ligand docking using conformational space annealing.

Authors:  Woong-Hee Shin; Lim Heo; Juyong Lee; Junsu Ko; Chaok Seok; Jooyoung Lee
Journal:  J Comput Chem       Date:  2011-08-12       Impact factor: 3.376

6.  Refinement of protein termini in template-based modeling using conformational space annealing.

Authors:  Hahnbeom Park; Junsu Ko; Keehyoung Joo; Julian Lee; Chaok Seok; Jooyoung Lee
Journal:  Proteins       Date:  2011-07-13

7.  DSX: a knowledge-based scoring function for the assessment of protein-ligand complexes.

Authors:  Gerd Neudert; Gerhard Klebe
Journal:  J Chem Inf Model       Date:  2011-10-04       Impact factor: 4.956

8.  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

9.  Consistent refinement of submitted models at CASP using a knowledge-based potential.

Authors:  Gaurav Chopra; Nir Kalisman; Michael Levitt
Journal:  Proteins       Date:  2010-09

10.  Protein loop modeling using a new hybrid energy function and its application to modeling in inaccurate structural environments.

Authors:  Hahnbeom Park; Gyu Rie Lee; Lim Heo; Chaok Seok
Journal:  PLoS One       Date:  2014-11-24       Impact factor: 3.240

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  8 in total

1.  Force Field Optimization Guided by Small Molecule Crystal Lattice Data Enables Consistent Sub-Angstrom Protein-Ligand Docking.

Authors:  Hahnbeom Park; Guangfeng Zhou; Minkyung Baek; David Baker; Frank DiMaio
Journal:  J Chem Theory Comput       Date:  2021-02-12       Impact factor: 6.006

2.  Nonparametric chemical descriptors for the calculation of ligand-biopolymer affinities with machine-learning scoring functions.

Authors:  Edelmiro Moman; Maria A Grishina; Vladimir A Potemkin
Journal:  J Comput Aided Mol Des       Date:  2019-11-14       Impact factor: 3.686

3.  Obtaining QM/MM binding free energies in the SAMPL8 drugs of abuse challenge: indirect approaches.

Authors:  Phillip S Hudson; Félix Aviat; Rubén Meana-Pañeda; Luke Warrensford; Benjamin C Pollard; Samarjeet Prasad; Michael R Jones; H Lee Woodcock; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2022-05-22       Impact factor: 4.179

4.  OptNCMiner: a deep learning approach for the discovery of natural compounds modulating disease-specific multi-targets.

Authors:  Seo Hyun Shin; Seung Man Oh; Jung Han Yoon Park; Ki Won Lee; Hee Yang
Journal:  BMC Bioinformatics       Date:  2022-06-07       Impact factor: 3.307

Review 5.  Empirical Scoring Functions for Structure-Based Virtual Screening: Applications, Critical Aspects, and Challenges.

Authors:  Isabella A Guedes; Felipe S S Pereira; Laurent E Dardenne
Journal:  Front Pharmacol       Date:  2018-09-24       Impact factor: 5.810

6.  DLIGAND2: an improved knowledge-based energy function for protein-ligand interactions using the distance-scaled, finite, ideal-gas reference state.

Authors:  Pin Chen; Yaobin Ke; Yutong Lu; Yunfei Du; Jiahui Li; Hui Yan; Huiying Zhao; Yaoqi Zhou; Yuedong Yang
Journal:  J Cheminform       Date:  2019-08-07       Impact factor: 5.514

Review 7.  Structure-Based Virtual Screening: From Classical to Artificial Intelligence.

Authors:  Eduardo Habib Bechelane Maia; Letícia Cristina Assis; Tiago Alves de Oliveira; Alisson Marques da Silva; Alex Gutterres Taranto
Journal:  Front Chem       Date:  2020-04-28       Impact factor: 5.221

Review 8.  Recent Advances in Molecular Docking for the Research and Discovery of Potential Marine Drugs.

Authors:  Guilin Chen; Armel Jackson Seukep; Mingquan Guo
Journal:  Mar Drugs       Date:  2020-10-30       Impact factor: 5.118

  8 in total

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