Contact information
Philip Biggin
We are developing and applying computational methods to examine conformational changes and properties of ligand-binding that occur within receptor proteins. We are particularly interested in two distinct families of receptors: 1. The ionotropic glutamate receptors and 2. The nicotinic acetylcholine receptor. Although there has been a recent increase in the amount of structural information available, many questions still remain concerning the dynamics associated with these processes (see Figure 1). For example, how does the binding of agonist cause the transmembrane domain to open? What determines whether an agonist will act as a full or partial agonist? How can channel opening be modulated? How do certain compounds interfere with the process of desensitization? We use molecular dynamics to examine the molecular motion of these receptors at the atomic level (see Figures 2 and 3 for recent examples).
Furthermore, via free energy calculations, we are able to make quantitative predictions that can be tested experimentally. A better understanding of the manner in which ligand-gated ion channels work should be useful in the design of new drug treatments for a range of diseases including Alzheimer's, Parkinsons's, and epilepsy.
We are also interested in conformational change in a broader sense. Two areas that we are currently focussing on are 1. How molecular motion has evolved. 2. How best to describe transitions between discrete states. The conservation of structure (ie. fold) has been discussed for a long time. We are interested in trying to understand how well molecular motion is conserved amongst protein folds. Our results so far have demonstrated that large conformational changes are dictated by fold, but smaller higher-frequency motions are dictated by sequence.
Recent publications
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Structural insights into binding of therapeutic channel blockers in NMDA receptors.
Journal article
Chou T-H. et al, (2022), Nat Struct Mol Biol, 29, 507 - 518
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Spliced isoforms of the cardiac Nav1.5 channel modify channel activation by distinct structural mechanisms.
Journal article
Mancino AS. et al, (2022), J Gen Physiol, 154
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SAMPL7 protein-ligand challenge: A community-wide evaluation of computational methods against fragment screening and pose-prediction.
Journal article
Grosjean H. et al, (2022), J Comput Aided Mol Des
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Binding and Activation of Serotonergic G-Protein Coupled Receptors by the Multimodal Antidepressant Vortioxetine.
Journal article
Ladefoged LK. et al, (2022), ACS Chem Neurosci
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Correction Schemes for Absolute Binding Free Energies Involving Lipid Bilayers.
Journal article
Wu Z. and Biggin PC., (2022), J Chem Theory Comput