ArticleJournal of computational chemistry2014
Including ligand-induced protein flexibility into protein tunnel prediction.
Article in Journal of computational chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Reinforcing Tunnel Network Exploration in Proteins Using Gaussian Accelerated Molecular Dynamics.Journal of chemical information and modeling · 2024Article
- Incorporating Prior Knowledge in the Seeds of Adaptive Sampling Molecular Dynamics Simulations of Ligand Transport in Enzymes with Buried Active Sites.Journal of chemical theory and computation · 2024Article
- Four Major Channels Detected in the Cytochrome P450 3A4: A Step toward Understanding Its Multispecificity.International journal of molecular sciences · 2019Article
- Ligand tunnels in T. brucei and human CYP51: Insights for parasite-specific drug design.Biochimica et biophysica acta · 2016Article
- Extracting ligands from receptors by reversed targeted molecular dynamics.Journal of computer-aided molecular design · 2015Article
- Substrate tunnels in enzymes: structure-function relationships and computational methodology.Proteins · 2015Review
- Analysis of water channels by molecular dynamics simulation of heterotetrameric sarcosine oxidase.Biophysics and physicobiology · 2015Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
In proteins with buried active sites, understanding how ligands migrate through the tunnels that connect the exterior of the protein to the active site can shed light on substrate specificity and enzyme function. A growing body of evidence highlights the importance of protein flexibility in the binding site on ligand binding; however, the influence of protein flexibility throughout the body of the protein during ligand entry and egress is much less characterized. We have developed a novel tunnel prediction and evaluation method named IterTunnel, which includes the influence of ligand-induced protein flexibility, guarantees ligand egress, and provides detailed free energy information as the ligand proceeds along the egress route. IterTunnel combines geometric tunnel prediction with steered molecular dynamics in an iterative process to identify tunnels that open as a result of ligand migration and calculates the potential of mean force of ligand egress through a given tunnel. Applying this new method to cytochrome P450 2B6, we demonstrate the influence of protein flexibility on the shape and accessibility of tunnels. More importantly, we demonstrate that the ligand itself, while traversing through a tunnel, can reshape tunnels due to its interaction with the protein. This process results in the exposure of new tunnels and the closure of preexisting tunnels as the ligand migrates from the active site.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.