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Advances in Drug Repositioning

Available via

WEBINAR

Enabling Technology and Data for Drug Repositioning

Tuesday, December 3, 2019, 8:30 AM - 6:00 PM

The New York Academy of Sciences, 7 World Trade Center, 250 Greenwich St Fl 40, New York

Presented By

The Biochemical Pharmacology Discussion Group

The New York Academy of Sciences

 

Repositioning of existing therapeutics to treat diseases beyond those originally intended has benefited a growing number of unmet patients’ needs. Early contributions in this field were largely serendipitous in nature, typically exploiting direct observations of desirable side effects in patients.  Over time tools and tactics have evolved to  incorporate  insights gleaned from artificial intelligence platforms suggesting previously unappreciated roles of the intended mechanism, target or pathway in other disease contexts.  This symposium will bring together scientists from academia, industry and government to discuss best practices for rational drug repositioning with a focus on computational methods and big data mining, enhanced levels of open collaboration, and initiatives seeking to address rare and neglected diseases.

Registration

Member
By 10/22/2019
$90
After 10/22/2019
$130
Nonmember Academia, Faculty, etc.
By 10/22/2019
$180
After 10/22/2019
$260
Nonmember Corporate, Other
By 10/22/2019
$250
After 10/22/2019
$350
Nonmember Not for Profit
By 10/22/2019
$180
After 10/22/2019
$260
Nonmember Student, Undergrad, Grad, Fellow
By 10/22/2019
$100
After 10/22/2019
$145
Member Student, Post-Doc, Fellow
By 10/22/2019
$50
After 10/22/2019
$70
Member
$30
Nonmember Academia, Faculty, etc.
$65
Nonmember Corporate, Other
$85
Nonmember Not for Profit
$65
Nonmember Student, Undergrad, Grad, Fellow
$45
Member Student, Post-Doc, Fellow
$15
Earlybird Registration:
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Deadline:
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Scientific Organizing Committee

Pamela Hill
Pamela Hill, MS

AstraZeneca

Bobbie Ann Mount
Bobbie Ann Mount, PhD

National Center for Advancing Translational Sciences

Sara Donnelly, PhD
Sara Donnelly, PhD

The New York Academy of Sciences

Sonya Dougal, PhD
Sonya Dougal, PhD

The New York Academy of Sciences

Keynote Speaker

Matthew Might, PhD
Matthew Might, PhD

University of Alabama at Birmingham

Speakers

Pamela Hill
Pamela Hill, MS

AstraZeneca

Heather Stone, MPH
Heather Stone, MPH

US Food and Drug Administration (FDA)

Sean Ekins
Sean Ekins, PhD, DSc

Collaborations Pharmaceuticals

Andrew Reaume
Andrew Reaume, PhD, MBA

Melior Discovery

Clemens Scherzer, MD
Clemens Scherzer, MD

Harvard Medical School and Brigham & Women’s Hospital

Bobbie Ann Mount
Bobbie Ann Mount, PhD

National Center for Advancing Translational Sciences

Alessandro Lagana, PhD
Alessandro Lagana, PhD

Icahn School of Medicine at Mount Sinai


Tuesday

December 03, 2019

8:30 AM

Networking Breakfast and Registration

9:00 AM

Introduction and Welcome Remarks

Speakers

Sara Donnelly, PhD
The New York Academy of Sciences
Bobbie Ann Mount, PhD
National Center for Advancing Translational Research, NIH
9:15 AM

Keynote Address: The Algorithm for Precision Medicine

Speaker

Matt Might, PhD
University of Alabama at Birmingham

Precision medicine promises to deliver the right treatment to the right patient at the right time. The open question is how it will do so.

The answer is data. Precision medicine is data-driven medicine. It uses data — frequently genetic data — to prevent, diagnose and treat disease at its root cause and in the context of an individual patient.

This talk covers the development of an algorithm for conducting precision medicine, and it casts the creation of this algorithm through the lens of a personal story: of discovering that my child was the first case of a new, ultra-rare genetic disorder. From this story, I will generalize to a process that scales precision medicine to all disease, or rather, to all patients.

Session 1: Enabling Technologies for Drug Repositioning

Session Chairperson
Bobbie Ann Mount, PhD, NCATS, NIH
10:00 AM

Phenotypic Screening as a Powerful Approach towards Drug Repositioning

Speaker

Andrew Reaume, PhD, MBA
Melior Discovery

While there have been a number of approaches to use in silico approaches to identify new therapeutic applications of existing drugs or drug candidates, Melior Discovery has taken an alternative, more resource-intensive, approach of screening candidates using in vivo models. This is based upon the philosophy that the pharmacopoeia of ideal repositioning candidates is small, numbered in the hundreds, not thousands or tens of thousands of compounds. Therefore, there is little benefit to high throughput methodology. Moreover, the ideal candidates are “privileged” compounds known to be safe and well-tolerated in humans and have other favorable drug-like properties based upon years and tens of millions of dollars of research on each candidate. Accordingly, if the drug repositioning approach that one uses fails to correctly identify a new indication which actually exists for a given candidate then the opportunity cost is exceptionally high. Therefore, this “privileged” substrate should be approached with the highest quality tool that most accurately can predict alternative new uses for a compound. Generally speaking, in a preclinical setting we believe this to be animal models. Experience from 15 years of conducting this approach, with case examples, will be presented.

10:30 AM

Networking Coffee Break

11:00 AM

Precision Medicine of Multiple Myeloma Based on an Integrative Multi-omics Approach

Speaker

Alessandro Laganà, PhD
Icahn School of Medicine at Mount Sinai

The goal of precision oncologyis to devise optimal treatment strategies tailored to the characteristics of the individual patient's disease. However, the widespread heterogeneity of cancer patients and drug responses pose a significant challenge in the design of effective personalized treatments. To address this challenge, we have developed a novel computational decision support framework that incorporates multi-omics and clinical data to guide precision cancer therapy. Our approach expands upon the traditional DNA-based approaches by integrating somatic mutations and copy number alterations with RNA-based drug repurposing and pathway analysis. We have applied our approach to multiple myeloma (MM), a mostly incurable malignancy of plasma cells with a median survival of 6 years, and have assessed its feasibility and effectiveness in a clinical trial with 64 relapsed/refractory MM patients seen at the Mount Sinai hospital. Our results demonstrated clinical response in the majority of patients treated based on our recommendations and provided proof of principle of how a precision medicine approach based on both DNA and RNA sequencing findings may identify more effective options and yield greater benefits than an approach based on mutations alone. Our study represents a significant step towards the development of an effective precision medicine approach for relapsed/refractory MM and provides a general framework for personalized therapy in oncology.

11:30 AM

Machine Learning to Reposition Drugs for Ebola

Speaker

Sean Ekins, PhD, DSc
Collaborations Pharma

The ongoing outbreaks of the Ebola virus (EBOV) in Africa have brought global visibility to the shortage of available therapeutic options to treat patients with this or related viruses. We have recently computationally identified three molecules which have all demonstrated statistically significant efficacy in the mouse model of infection with mouse adapted Ebola virus (maEBOV). One of these molecules is the antimalarial pyronaridine tetraphosphate (EC50 range of 0.77-1.33 μM against three strains of EBOV and EC50 range of 1.57-2.96 μM against two strains of Marburg virus) which is an approved drug in the European Union and used in combination with artesunate. To date no small molecule drugs have shown statistically significant survival in the Guinea Pig. Pharmacokinetics and range-finding studies in mice directed us to a single 300mg/kg or 600mg/kg oral dose of pyronaridine 1 hr after infection. We performed a meta-analysis of vehicle controls from four independent studies using oral gavage (n=55). Pyronaridne resulted in statistically significant survival of 40% at 300mg/kg and protected from a lethal challenge with EBOV. In comparison as a positive control, oral favipiravir (300 mg/kg dosed once a day) had 43.5% survival. In summary, our in vitro and in vivo studies with pyronaridine in the stringent Guinea pig model demonstrate its utility for repurposing as an antiviral against different strains of EBOV and the closely related Marburg virus, providing justification for future testing in non-human primates.

Session 2: Data Blitz Talks

Session Chairperson
Bobbie Ann Mount, PhD, NCATS, NIH
12:00 PM

3X Short Talks Selected from Submitted Abstracts (Graduate Students/Postdocs)

12:15 PM

Networking Lunch and Poster Session

Speakers

Odd number posters: 12:45pm - 1:15pm
Even number posters: 1:15pm - 1:45pm

Session 3: Collaboration and Innovation to Expedite Repositioning

Session Chairperson
TBD
1:45 PM

Pushing the Boundaries of Science: Drug Repositioning through Open Innovation

Speaker

Pamela Hill, MS
Astra Zeneca
2:15 PM

New Therapeutic Uses Initiatives

Speaker

Bobbie Ann Mount, PhD
National Center for Advancing Translational Research, NIH
2:45 PM

Networking Coffee Break

Session 4: Advancing Therapeutic Repositioning with Insights from Real World Data

Session Chairperson
Pamela Hill, MS, Astra Zeneca
3:15 PM

Beta2-Adrenoreceptor Agonists (Asthma Drugs) for Parkinson's Disease

Speaker

Clemens Scherzer, MD
Harvard Medical School
3:45 PM

CURE ID: Clinician’s Experiences Repurposing Drugs for Infectious Diseases

Speaker

Heather Stone, MPH
US Food and Drug Administration
4:15 PM

Closing Remarks

Speaker

Pamela Hill, MS
Astra Zeneca
4:30 PM

Networking Reception

5:30 PM

Adjourn