26.01.2015 Views

Structure-Based Drug Design Conference Final Brochure.pdf

Structure-Based Drug Design Conference Final Brochure.pdf

Structure-Based Drug Design Conference Final Brochure.pdf

SHOW MORE
SHOW LESS
  • No tags were found...

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

2:00 The Role of Recent Crystal <strong>Structure</strong>s of Membrane<br />

Bound Proteins in <strong>Drug</strong> Discovery for CNS Targets<br />

Sid Topiol, Ph.D., CSO, Computational and Structural<br />

Investigations, 3D-2<strong>Drug</strong><br />

I would present illustrations of the impact of recent X-ray<br />

structure determinations for the more challenging CNS<br />

targets, i.e., membrane bound proteins. For class C GPCR’s,<br />

new opportunities for drug discovery are being identified<br />

using X-ray structures of the extracellular regions. Other targets, such<br />

as transporters and ion channels, are also now amenable to structurebased<br />

drug design.<br />

2:25 Hitting a Moving Target: Characterizing GPCR Signaling<br />

through Long-timescale Molecular Dynamics Simulations<br />

Ron Dror, Ph.D., Senior Research Scientist and Special<br />

Advisor to the Chairman, D. E. Shaw Research<br />

A mounting body of evidence indicates that drugs<br />

induce GPCRs to interconvert between numerous<br />

conformational states with distinct intracellular signaling<br />

profiles. Recent advances in algorithms and hardware for<br />

molecular dynamics (MD) simulations are now bringing the previously<br />

inaccessible timescales on which these transitions occur within reach.<br />

This talk will describe ongoing studies of GPCRs using state-of-the-art<br />

MD simulations, which have provided a hitherto elusive glimpse of the<br />

conformational dynamics underlying GPCR-mediated signaling by both<br />

endogenous ligands and drugs.<br />

2:50 Networking Refreshment Break<br />

3:00 Beyond the Orthosteric Binding Site: A <strong>Structure</strong>-<strong>Based</strong><br />

SAR Analysis of the D3R Selective Compounds<br />

Lei Shi, Ph.D., Assistant Professor, Department of Physiology<br />

and Biophysics, HRH Prince Alwaleed Bin Talal Bin Abdulaziz<br />

Alsaud Institute for Computational Biomedicine, Weill Cornell<br />

Medical College<br />

Selective targeting of dopamine D3 receptor (D3R) has<br />

therapeutic implications in neuropsychiatric disorders and<br />

drug additions. D3R selective compounds have two pharmacophores<br />

and a connecting linker. The talk will highlight individual and combined<br />

contributions of these components towards the selectivity in the<br />

context of the D3R structure. A novel structure-based design scheme<br />

to address specificity issues of highly homologous GPCRs will be<br />

presented.<br />

3:25 Moving in New Circles – Exploiting Macrocycles for <strong>Drug</strong><br />

Discovery<br />

Nick Terrett, Ph.D., CSO, Ensemble Therapeutics Corp<br />

Macrocycles are largely underexploited in drug discovery<br />

because they are generally perceived as structurally<br />

complex and difficult to access. Ensemble Therapeutics has<br />

developed platforms for the rapid synthesis and screening<br />

of macrocycles in order to identify leads for challenging<br />

protein-protein interaction targets. The talk will focus on the design and<br />

synthesis of macrocycle libraries and the successful discovery of novel<br />

lead molecules with unprecedented activity and drug-like properties.<br />

DRUG RESISTANCE<br />

3:50 Strategizing to Develop Resistance-Proof Inhibitors<br />

Bruce Tidor, Ph.D., Professor of Biological Engineering and<br />

Computational Science, Massachusetts Institute of<br />

Technology<br />

The selection of resistant variants is an important problem<br />

limiting the therapeutic usefulness of inhibitors to targets<br />

undergoing rapid mutation, particularly for applications in<br />

infectious disease and cancer. We report our work exploring general<br />

strategies for the development of inhibitors that have a reduced<br />

tendency to induce resistance, using HIV protease as a trial target.<br />

4:15 Computational Approaches to Modeling the Emergence<br />

of <strong>Drug</strong> Resistance<br />

Ryan Lilien, M.D., Ph.D., Assistant Professor, Department of<br />

Computer Science & Donnelly Centre for Cellular and<br />

Biomolecular Research, University of Toronto<br />

The emergence of drug resistance reduces the<br />

effectiveness of many novel therapeutics. I will describe<br />

computational methods for predicting resistance mutations<br />

through their structural and functional effects on the protein target.<br />

These methods may allow us to identify new ways to create drugs that<br />

6<br />

healthtech.com/SBD<br />

are less likely to be made ineffective by pathogen evolution, understand<br />

the key determinants of the evolution and spread of resistance, and<br />

develop the ability to slow the emergence of resistant variants.<br />

4:40 End of <strong>Conference</strong>

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!