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BioExcel Webinar #3 - Atomistic Molecular Dynamics Setup with MDWeb

Authors: Adam Hospital;

BioExcel Webinar #3 - Atomistic Molecular Dynamics Setup with MDWeb

Abstract

Biological function is largely based on molecular recognition. Biological macromolecules interact to each other following strict rules on the complementarity of 3D structures and interactions. The understanding of molecular recognition has been based traditionally on the analysis of static models of protein and nucleic acids 3D structures as found in the Protein Data Bank (PDB [1]). However, molecular recognition requires precise adjustments of the structures to optimize the binding, what is possible due to the intrinsic flexibility of biological macromolecules, but very difficult to follow using static pictures of those structures. Although some information about flexibility and induced fit could be extracted from the set of conformations available in PDB, only theoretical methods can draw a full picture of the phenomenon [2]. A series of tools and databases offering an integrated approach to study macromolecular flexibility have been developed in IRB Barcelona. Molecular Dynamics simulations (MD [3,4]) is the most well-known theoretical technique to extract macromolecular flexibility. Unfortunately, its usage has been hindered by its steep learning curve, especially in the first steps of the process: the structure preparation or setup. MDWeb [5] is a web server designed to ease this first contact with MD simulation. Its web-based interface provides a user-friendly workbench where user can graphically check for the quality of the input structure, tailor their own setup protocols, or use a collection of predefined ones. The final generated system, already prepared to run the MD simulation, can be then downloaded. For those interested in nucleic acids simulations, we developed a specific web interface, NAFlex [6] (powered by MDWeb) adding nucleic acid-specific analysis to the set of functionalities already existing in MDWeb. And using MD simulations and these automatic setup procedures, we were able to populate a couple of trajectory databases (MoDEL [7] for proteins and BIGNASim [8] for nucleic acids). In this first webinar, we will focus on MDWeb, on how to use the web interface to go from a PDB structure to a completely prepared system (surrounded by solvent and counterions, energetically minimized and equilibrated), ready to be used as input for a MD simulation.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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