Literature DB >> 23110536

GAMESS as a free quantum-mechanical platform for drug research.

Yuri Alexeev1, Michael P Mazanetz, Osamu Ichihara, Dmitri G Fedorov.   

Abstract

Driven by a steady improvement of computational hardware and significant progress in ab initio method development, quantum-mechanical approaches can now be applied to large biochemical systems and drug design. We review the methods implemented in GAMESS, which are suitable to calculate large biochemical systems. An emphasis is put on the fragment molecular orbital method (FMO) and quantum mechanics interfaced with molecular mechanics (QM/MM). The use of FMO in the protein-ligand binding, structure-activity relationship (SAR) studies, fragment- and structure-based drug design (FBDD/SBDD) is discussed in detail.

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Year:  2012        PMID: 23110536     DOI: 10.2174/156802612804910269

Source DB:  PubMed          Journal:  Curr Top Med Chem        ISSN: 1568-0266            Impact factor:   3.295


  17 in total

1.  The FTMap family of web servers for determining and characterizing ligand-binding hot spots of proteins.

Authors:  Dima Kozakov; Laurie E Grove; David R Hall; Tanggis Bohnuud; Scott E Mottarella; Lingqi Luo; Bing Xia; Dmitri Beglov; Sandor Vajda
Journal:  Nat Protoc       Date:  2015-04-09       Impact factor: 13.491

2.  Quantum Mechanics Approaches to Drug Research in the Era of Structural Chemogenomics.

Authors:  Andrey V Ilatovskiy; Ruben Abagyan; Irina Kufareva
Journal:  Int J Quantum Chem       Date:  2013-06-15       Impact factor: 2.444

3.  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

Review 4.  Mathematical and computational modeling in biology at multiple scales.

Authors:  Jack A Tuszynski; Philip Winter; Diana White; Chih-Yuan Tseng; Kamlesh K Sahu; Francesco Gentile; Ivana Spasevska; Sara Ibrahim Omar; Niloofar Nayebi; Cassandra Dm Churchill; Mariusz Klobukowski; Rabab M Abou El-Magd
Journal:  Theor Biol Med Model       Date:  2014-12-27       Impact factor: 2.432

5.  Investigation of protein-protein interactions and hot spot region between PD-1 and PD-L1 by fragment molecular orbital method.

Authors:  Hocheol Lim; Jungho Chun; Xuemei Jin; Jongwan Kim; JeongHyeok Yoon; Kyoung Tai No
Journal:  Sci Rep       Date:  2019-11-13       Impact factor: 4.379

6.  Protein Predictive Modeling and Simulation of Mutations of Presenilin-1 Familial Alzheimer's Disease on the Orthosteric Site.

Authors:  Alejandro Soto-Ospina; Pedronel Araque Marín; Gabriel Bedoya; Diego Sepulveda-Falla; Andrés Villegas Lanau
Journal:  Front Mol Biosci       Date:  2021-06-02

7.  Mapping enzymatic catalysis using the effective fragment molecular orbital method: towards all ab initio biochemistry.

Authors:  Casper Steinmann; Dmitri G Fedorov; Jan H Jensen
Journal:  PLoS One       Date:  2013-04-12       Impact factor: 3.240

Review 8.  Using the fragment molecular orbital method to investigate agonist-orexin-2 receptor interactions.

Authors:  Alexander Heifetz; Matteo Aldeghi; Ewa I Chudyk; Dmitri G Fedorov; Mike J Bodkin; Philip C Biggin
Journal:  Biochem Soc Trans       Date:  2016-04-15       Impact factor: 5.407

9.  Application of the fragment molecular orbital method to discover novel natural products for prion disease.

Authors:  Jiwon Choi; Hyo-Jin Kim; Xuemei Jin; Hocheol Lim; Songmi Kim; In-Soon Roh; Hae-Eun Kang; Kyoung Tai No; Hyun-Joo Sohn
Journal:  Sci Rep       Date:  2018-08-30       Impact factor: 4.379

10.  Characterizing Interhelical Interactions of G-Protein Coupled Receptors with the Fragment Molecular Orbital Method.

Authors:  Alexander Heifetz; Inaki Morao; M Madan Babu; Tim James; Michelle W Y Southey; Dmitri G Fedorov; Matteo Aldeghi; Michael J Bodkin; Andrea Townsend-Nicholson
Journal:  J Chem Theory Comput       Date:  2020-03-09       Impact factor: 6.006

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