Literature DB >> 19824035

ORAC: a molecular dynamics simulation program to explore free energy surfaces in biomolecular systems at the atomistic level.

Simone Marsili1, Giorgio Federico Signorini, Riccardo Chelli, Massimo Marchi, Piero Procacci.   

Abstract

We present the new release of the ORAC engine (Procacci et al., Comput Chem 1997, 18, 1834), a FORTRAN suite to simulate complex biosystems at the atomistic level. The previous release of the ORAC code included multiple time steps integration, smooth particle mesh Ewald method, constant pressure and constant temperature simulations. The present release has been supplemented with the most advanced techniques for enhanced sampling in atomistic systems including replica exchange with solute tempering, metadynamics and steered molecular dynamics. All these computational technologies have been implemented for parallel architectures using the standard MPI communication protocol. ORAC is an open-source program distributed free of charge under the GNU general public license (GPL) at http://www.chim.unifi.it/orac. 2009 Wiley Periodicals, Inc.

Mesh:

Substances:

Year:  2010        PMID: 19824035     DOI: 10.1002/jcc.21388

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


  13 in total

Review 1.  Enhanced sampling techniques in molecular dynamics simulations of biological systems.

Authors:  Rafael C Bernardi; Marcelo C R Melo; Klaus Schulten
Journal:  Biochim Biophys Acta       Date:  2014-10-23

2.  Molecular Dynamics Simulation Techniques as Tools in Drug Discovery and Pharmacology: A Focus on Allosteric Drugs.

Authors:  Chiara Bianca Maria Platania; Claudio Bucolo
Journal:  Methods Mol Biol       Date:  2021

3.  SAMPL6 host-guest blind predictions using a non equilibrium alchemical approach.

Authors:  Piero Procacci; Massimiliano Guarrasi; Guido Guarnieri
Journal:  J Comput Aided Mol Des       Date:  2018-08-20       Impact factor: 3.686

4.  Overview of the SAMPL6 host-guest binding affinity prediction challenge.

Authors:  Andrea Rizzi; Steven Murkli; John N McNeill; Wei Yao; Matthew Sullivan; Michael K Gilson; Michael W Chiu; Lyle Isaacs; Bruce C Gibb; David L Mobley; John D Chodera
Journal:  J Comput Aided Mol Des       Date:  2018-11-10       Impact factor: 3.686

5.  SAMPL6 blind predictions of water-octanol partition coefficients using nonequilibrium alchemical approaches.

Authors:  Piero Procacci; Guido Guarnieri
Journal:  J Comput Aided Mol Des       Date:  2019-10-17       Impact factor: 3.686

6.  Molecular simulations of dodecyl-β-maltoside micelles in water: influence of the headgroup conformation and force field parameters.

Authors:  Stéphane Abel; François-Yves Dupradeau; E Prabhu Raman; Alexander D MacKerell; Massimo Marchi
Journal:  J Phys Chem B       Date:  2010-12-30       Impact factor: 2.991

7.  Molecular dynamics simulations of cytochrome c unfolding in AOT reverse micelles: The first steps.

Authors:  S Abel; M Waks; M Marchi
Journal:  Eur Phys J E Soft Matter       Date:  2010-08-28       Impact factor: 1.890

8.  Uncertainty Quantification in Alchemical Free Energy Methods.

Authors:  Agastya P Bhati; Shunzhou Wan; Yuan Hu; Brad Sherborne; Peter V Coveney
Journal:  J Chem Theory Comput       Date:  2018-05-02       Impact factor: 6.006

9.  SAMPL7 blind predictions using nonequilibrium alchemical approaches.

Authors:  Piero Procacci; Guido Guarnieri
Journal:  J Comput Aided Mol Des       Date:  2021-01-04       Impact factor: 3.686

10.  AWE-WQ: fast-forwarding molecular dynamics using the accelerated weighted ensemble.

Authors:  Badi' Abdul-Wahid; Haoyun Feng; Dinesh Rajan; Ronan Costaouec; Eric Darve; Douglas Thain; Jesús A Izaguirre
Journal:  J Chem Inf Model       Date:  2014-09-24       Impact factor: 4.956

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.