Literature DB >> 16604514

The polarizable continuum model (PCM) interfaced with the fragment molecular orbital method (FMO).

Dmitri G Fedorov1, Kazuo Kitaura, Hui Li, Jan H Jensen, Mark S Gordon.   

Abstract

The polarizable continuum model (PCM) for the description of solvent effects is combined with the fragment molecular orbital (FMO) method at several levels of theory, using a many-body expansion of the electron density and the corresponding electrostatic potential, thereby determining solute (FMO)-solvent (PCM) interactions. The resulting method, denoted FMO/PCM, is applied to a set of model systems, including alpha-helices and beta-strands of alanine consisting of 10, 20, and 40 residues and their mutants to charged arginine and glutamate residues. The FMO/PCM error in reproducing the PCM solvation energy for a full system is found to be below 1 kcal/mol in all cases if a two-body expansion of the electron density is used in the PCM potential calculation and two residues are assigned to each fragment. The scaling of the FMO/PCM method is demonstrated to be nearly linear at all levels for polyalanine systems. A study of the relative stabilities of alpha-helices and beta-strands is performed, and the magnitude of the contributing factors is determined. The method is applied to three proteins consisting of 20, 129, and 245 residues, and the solvation energy and computational efficiency are discussed.

Entities:  

Year:  2006        PMID: 16604514     DOI: 10.1002/jcc.20406

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  14 in total

1.  How accurate are continuum solvation models for drug-like molecules?

Authors:  Jacob Kongsted; Pär Söderhjelm; Ulf Ryde
Journal:  J Comput Aided Mol Des       Date:  2009-05-15       Impact factor: 3.686

2.  Residue interactions affecting the deprotonation of internal guanine moieties in oligodeoxyribonucleotides, calculated by FMO methods.

Authors:  Julio C González-Olvera; Absalom Zamorano-Carrillo; Gerardo Arreola-Jardón; Reynaldo C Pless
Journal:  J Mol Model       Date:  2022-01-25       Impact factor: 1.810

3.  Importance of dispersion and electron correlation in ab initio protein folding.

Authors:  Xiao He; Laszlo Fusti-Molnar; Guanglei Cui; Kenneth M Merz
Journal:  J Phys Chem B       Date:  2009-04-16       Impact factor: 2.991

4.  Developing polarized protein-specific charges for protein dynamics: MD free energy calculation of pKa shifts for Asp26/Asp20 in thioredoxin.

Authors:  Changge Ji; Ye Mei; John Z H Zhang
Journal:  Biophys J       Date:  2008-08       Impact factor: 4.033

5.  A computational method for the systematic screening of reaction barriers in enzymes: searching for Bacillus circulans xylanase mutants with greater activity towards a synthetic substrate.

Authors:  Martin R Hediger; Casper Steinmann; Luca De Vico; Jan H Jensen
Journal:  PeerJ       Date:  2013-07-23       Impact factor: 2.984

6.  Prediction of cyclin-dependent kinase 2 inhibitor potency using the fragment molecular orbital method.

Authors:  Michael P Mazanetz; Osamu Ichihara; Richard J Law; Mark Whittaker
Journal:  J Cheminform       Date:  2011-01-10       Impact factor: 5.514

7.  Identification of Novel Natural Product Inhibitors against Matrix Metalloproteinase 9 Using Quantum Mechanical Fragment Molecular Orbital-Based Virtual Screening Methods.

Authors:  Hocheol Lim; Hansol Hong; Seonik Hwang; Song Ja Kim; Sung Yum Seo; Kyoung Tai No
Journal:  Int J Mol Sci       Date:  2022-04-18       Impact factor: 6.208

8.  In silico prediction of mutant HIV-1 proteases cleaving a target sequence.

Authors:  Jan H Jensen; Martin Willemoës; Jakob R Winther; Luca De Vico
Journal:  PLoS One       Date:  2014-05-05       Impact factor: 3.240

9.  Inhibitor ranking through QM based chelation calculations for virtual screening of HIV-1 RNase H inhibition.

Authors:  Vasanthanathan Poongavanam; Casper Steinmann; Jacob Kongsted
Journal:  PLoS One       Date:  2014-06-04       Impact factor: 3.240

10.  A quantum mechanical computational method for modeling electrostatic and solvation effects of protein.

Authors:  Xianwei Wang; Yang Li; Ya Gao; Zejin Yang; Chenhui Lu; Tong Zhu
Journal:  Sci Rep       Date:  2018-04-03       Impact factor: 4.379

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