Literature DB >> 22606071

Improving MM-GB/SA Scoring through the Application of the Variable Dielectric Model.

Krishna Ravindranathan1, Julian Tirado-Rives, William L Jorgensen, Cristiano R W Guimarães.   

Abstract

A variable dielectric model based on residue types for better description of protein-ligand electrostatics in MM-GBSA scoring is reported. The variable dielectric approach provides better correlation with binding data and reduces the score dynamic range, typically observed in the standard MM-GB/SA method. The latter supports the view that exaggerated enthalpic separation between weak and potent compounds due to the lack of shielding effects in the model is greatly responsible for the wide scoring spread.

Entities:  

Year:  2011        PMID: 22606071      PMCID: PMC3351111          DOI: 10.1021/ct200565u

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  36 in total

Review 1.  What are the dielectric "constants" of proteins and how to validate electrostatic models?

Authors:  C N Schutz; A Warshel
Journal:  Proteins       Date:  2001-09-01

2.  Are free energy calculations useful in practice? A comparison with rapid scoring functions for the p38 MAP kinase protein system.

Authors:  D A Pearlman; P S Charifson
Journal:  J Med Chem       Date:  2001-10-11       Impact factor: 7.446

3.  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

Review 4.  Molecular modeling of organic and biomolecular systems using BOSS and MCPRO.

Authors:  William L Jorgensen; Julian Tirado-Rives
Journal:  J Comput Chem       Date:  2005-12       Impact factor: 3.376

5.  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

6.  Physiochemical drug properties associated with in vivo toxicological outcomes.

Authors:  Jason D Hughes; Julian Blagg; David A Price; Simon Bailey; Gary A Decrescenzo; Rajesh V Devraj; Edmund Ellsworth; Yvette M Fobian; Michael E Gibbs; Richard W Gilles; Nigel Greene; Enoch Huang; Teresa Krieger-Burke; Jens Loesel; Travis Wager; Larry Whiteley; Yao Zhang
Journal:  Bioorg Med Chem Lett       Date:  2008-07-24       Impact factor: 2.823

7.  Thermodynamic optimisation in drug discovery: a case study using carbonic anhydrase inhibitors.

Authors:  Andrew D Scott; Chris Phillips; Alexander Alex; Maria Flocco; Andrew Bent; Amy Randall; Ronan O'Brien; Luminita Damian; Lyn H Jones
Journal:  ChemMedChem       Date:  2009-12       Impact factor: 3.466

8.  Oxindole-based inhibitors of cyclin-dependent kinase 2 (CDK2): design, synthesis, enzymatic activities, and X-ray crystallographic analysis.

Authors:  H N Bramson; J Corona; S T Davis; S H Dickerson; M Edelstein; S V Frye; R T Gampe; P A Harris; A Hassell; W D Holmes; R N Hunter; K E Lackey; B Lovejoy; M J Luzzio; V Montana; W J Rocque; D Rusnak; L Shewchuk; J M Veal; D H Walker; L F Kuyper
Journal:  J Med Chem       Date:  2001-12-06       Impact factor: 7.446

9.  Electrostatic control of GTP and GDP binding in the oncoprotein p21ras.

Authors:  I Muegge; T Schweins; R Langen; A Warshel
Journal:  Structure       Date:  1996-04-15       Impact factor: 5.006

10.  Discovery of a novel class of phosphodiesterase 10A inhibitors and identification of clinical candidate 2-[4-(1-methyl-4-pyridin-4-yl-1H-pyrazol-3-yl)-phenoxymethyl]-quinoline (PF-2545920) for the treatment of schizophrenia.

Authors:  Patrick R Verhoest; Douglas S Chapin; Michael Corman; Kari Fonseca; John F Harms; Xinjun Hou; Eric S Marr; Frank S Menniti; Frederick Nelson; Rebecca O'Connor; Jayvardhan Pandit; Caroline Proulx-Lafrance; Anne W Schmidt; Christopher J Schmidt; Judith A Suiciak; Spiros Liras
Journal:  J Med Chem       Date:  2009-08-27       Impact factor: 7.446

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  8 in total

1.  Fragment-based drug discovery using a multidomain, parallel MD-MM/PBSA screening protocol.

Authors:  Tian Zhu; Hyun Lee; Hao Lei; Christopher Jones; Kavankumar Patel; Michael E Johnson; Kirk E Hevener
Journal:  J Chem Inf Model       Date:  2013-03-14       Impact factor: 4.956

2.  Simulation study of the ability of a computationally-designed peptide to recognize target tRNALys3 and other decoy tRNAs.

Authors:  Xingqing Xiao; Binwu Zhao; Paul F Agris; Carol K Hall
Journal:  Protein Sci       Date:  2016-10-07       Impact factor: 6.725

3.  Adding energy minimization strategy to peptide-design algorithm enables better search for RNA-binding peptides: Redesigned λ N peptide binds boxB RNA.

Authors:  Xingqing Xiao; Michelle E Hung; Joshua N Leonard; Carol K Hall
Journal:  J Comput Chem       Date:  2016-08-04       Impact factor: 3.376

4.  Anticancer potential of β-sitosterol and oleanolic acid as through inhibition of human estrogenic 17beta-hydroxysteroid dehydrogenase type-1 based on an in silico approach.

Authors:  Alfinda Novi Kristanti; Nanik Siti Aminah; Imam Siswanto; Yosephine Sri Wulan Manuhara; Muhammad Ikhlas Abdjan; Andika Pramudya Wardana; Ei Ei Aung; Yoshiaki Takaya
Journal:  RSC Adv       Date:  2022-07-13       Impact factor: 4.036

5.  Exploring the Binding Mechanism of a Supramolecular Tweezer CLR01 to 14-3-3σ Protein via Well-Tempered Metadynamics.

Authors:  Xin Zhou; Mingsong Shi; Xin Wang; Dingguo Xu
Journal:  Front Chem       Date:  2022-05-12       Impact factor: 5.545

Review 6.  Structure-based virtual screening for drug discovery: principles, applications and recent advances.

Authors:  Evanthia Lionta; George Spyrou; Demetrios K Vassilatis; Zoe Cournia
Journal:  Curr Top Med Chem       Date:  2014       Impact factor: 3.295

Review 7.  The MM/PBSA and MM/GBSA methods to estimate ligand-binding affinities.

Authors:  Samuel Genheden; Ulf Ryde
Journal:  Expert Opin Drug Discov       Date:  2015-04-02       Impact factor: 6.098

8.  Contributions of the RAD51 N-terminal domain to BRCA2-RAD51 interaction.

Authors:  Shyamal Subramanyam; William T Jones; Maria Spies; M Ashley Spies
Journal:  Nucleic Acids Res       Date:  2013-08-08       Impact factor: 16.971

  8 in total

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