Drug resistance negatively impacts the lives of millions of patients and costs our society billions of dollars by limiting the longevity of many of our most potent drugs. Drug resistance can be caused by a change in the balance of molecular recognition events that selectively weakens inhibitor binding but maintains the biological function of the target. To reduce the likelihood of drug resistance, a detailed understanding of the target’s function is necessary. Both structure at atomic resolution and evolutionarily constraintson its variation is required. This rationale was derived from our lab’s experience with substrate recognition and drug resistance in HIV, HCV and Influenza. In particular we have acquired arich and versatile experimental dataset of viral proteases altered by the selective pressures of inhibitors.With this data we are integrating alterations in both the protein sequence and the inhibitor with changes in potencyand we correlate this data to our co-crystal structures and our strategy of parallel molecular dynamics(pMD) to elucidate molecular mechanisms of drug resistance. pMD is a strategy we have developed to collectively analyze a series of MD simulations of similar yet distinct molecular complexes to decipher conformational and dynamic differences responsible for changes in molecular recognition. We perform pMD simulations on complexes with varying protein sequence and ligand identity to unravel structural and dynamic properties that underlie coupled changes in molecular recognition and resistance. We have applied this pMD strategy to protein-ligand complexes for series of natural substrates, inhibitors, and protease mutations. Combined with experimental potency data, we determine which physical properties or molecular interactions, including with water, are key to molecular recognition for a given system. These changes in structure and dynamics dictate the interdependency of molecular mechanism of resistance and areprincipals that are generally applicable to other quickly evolving diseases where drug resistance is quickly evolving.

Constraining evolution —>  Avoiding drug resistance:  Lessons from viruses

2019 Fall National Meeting

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