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Physical-Chemistry

Practicing Metadynamics on the Müller-Brown Potential Energy Surface

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1. Introduction to Metadynamics

Based on my interest in the molecular dynamics(MD)1, my advisor recommended that I learn the PLUMED2 plugin to deepen my understanding of MD capabilities and become familiar with state-of-the-art enhanced sampling techniques.

After hearing this advice, I did some research and discovered the PLUMED Masterclasses3 which gather experts to explain cutting-edge methods and how to solve challenging problems. In this post, I will explain some parts of Masterclass 9. In some blog post in the future I will proved some challenges with the production of the state-of-art pipeline for the drug testing of the preclinical phase. That will only be our concern. In the multiple posts I will try to provide the path to getting the understanding of the highly accurate meta dynamics-based calculation4 of protein-protein and protein-ligand binding potencies.

As a motivation, I was inspired by recent research on glycine formation. In that work, glycine was hypothesized to form stepwise from smaller molecules and was investigated using exploratory CPMD5 and free energy simulations6. Ab Initio Study of Glycine Formation in the Condensed Phase: Carbon Monoxide, Formaldimine, and Water Are Enough provides the basis for much of this blog post. This study served as my entry point into the field.

Figure 1 Fig 1 Stepwise reactions observed in the glycine formation study (Francisco Carrascoza et al 2023). This diagram from the article shows a sequence of reactions (system S3V0) starting from carbon monoxide and formaldimine in water and ultimately forming glycine. (We will not delve into these specific reactions here; Figure 1 is meant to illustrate the kind of complex pathways metadynamics can discover.)

When I came across the lecture on reaction pathways7, I was able to put this idea into practice, but first I need to work through the simpler examples.

Exploring Water's Phase Space with TIP4P and Umbrella Sampling

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How can we capture the freezing and melting of water in a computer simulation? In this post, I dive into how I mapped out the phase diagram of water using molecular dynamics simulations (with the TIP4P water model in GROMACS) and what I learned about free energy, enthalpy–entropy compensation, and advanced sampling techniques like Umbrella Sampling. The journey revealed subtle thermodynamic tricks that water plays and how we can coax our simulations to explore all the nooks and crannies of phase space.