Literature DB >> 27193067

I. Dissociation free energies of drug-receptor systems via non-equilibrium alchemical simulations: a theoretical framework.

Piero Procacci1.   

Abstract

In this contribution I critically revise the alchemical reversible approach in the context of the statistical mechanics theory of non-covalent bonding in drug-receptor systems. I show that most of the pitfalls and entanglements for the binding free energy evaluation in computer simulations are rooted in the equilibrium assumption that is implicit in the reversible method. These critical issues can be resolved by using a non-equilibrium variant of the alchemical method in molecular dynamics simulations, relying on the production of many independent trajectories with a continuous dynamical evolution of an externally driven alchemical coordinate, completing the decoupling of the ligand in a matter of a few tens of picoseconds rather than nanoseconds. The absolute binding free energy can be recovered from the annihilation work distributions by applying an unbiased unidirectional free energy estimate, on the assumption that any observed work distribution is given by a mixture of normal distributions, whose components are identical in either direction of the non-equilibrium process, with weights regulated by the Crooks theorem. I finally show that the inherent reliability and accuracy of the unidirectional estimate of the decoupling free energies, based on the production of a few hundreds of non-equilibrium independent sub-nanosecond unrestrained alchemical annihilation processes, is a direct consequence of the funnel-like shape of the free energy surface in molecular recognition. An application of the technique to a real drug-receptor system is presented in the companion paper.

Mesh:

Substances:

Year:  2016        PMID: 27193067     DOI: 10.1039/c5cp05519a

Source DB:  PubMed          Journal:  Phys Chem Chem Phys        ISSN: 1463-9076            Impact factor:   3.676


  7 in total

1.  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

2.  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

3.  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

4.  Deciphering nucleotide modification-induced structure and stability changes.

Authors:  Travis Hurst; Shi-Jie Chen
Journal:  RNA Biol       Date:  2021-02-15       Impact factor: 4.652

5.  On the NS-DSSB unidirectional estimates in the SAMPL6 SAMPLing challenge.

Authors:  Piero Procacci; Marina Macchiagodena
Journal:  J Comput Aided Mol Des       Date:  2021-10-09       Impact factor: 3.686

6.  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

7.  Virtual Double-System Single-Box: A Nonequilibrium Alchemical Technique for Absolute Binding Free Energy Calculations: Application to Ligands of the SARS-CoV-2 Main Protease.

Authors:  Marina Macchiagodena; Marco Pagliai; Maurice Karrenbrock; Guido Guarnieri; Francesco Iannone; Piero Procacci
Journal:  J Chem Theory Comput       Date:  2020-10-22       Impact factor: 6.006

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.