Mathematical Biology: What Have You Done for Me Lately?€¦ · Mathematical Biology Imagine the...

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University of Utah Mathematical Biology the Imagine Possibilities Mathematical Biology: What Have You Done for Me Lately? J. P. Keener Department of Mathematics University of Utah Math Physiology – p. 1/14

Transcript of Mathematical Biology: What Have You Done for Me Lately?€¦ · Mathematical Biology Imagine the...

Page 1: Mathematical Biology: What Have You Done for Me Lately?€¦ · Mathematical Biology Imagine the Possibilities Mathematical Biology: What Have You Done for Me Lately? J. P. Keener

University of UtahMathematical Biology

theImagine Possibilities

Mathematical Biology: What Have You Donefor Me Lately?

J. P. Keener

Department of Mathematics

University of Utah

Math Physiology – p. 1/14

Page 2: Mathematical Biology: What Have You Done for Me Lately?€¦ · Mathematical Biology Imagine the Possibilities Mathematical Biology: What Have You Done for Me Lately? J. P. Keener

University of UtahMathematical Biology

theImagine Possibilities

Introduction

The Dilemma of Modern Biology

• The amount of data being collected is staggering. Knowing

what to do with the data is in its infancy.

• The parts list is nearly complete. How the parts work

together to determine function is essentially unknown.

Page 3: Mathematical Biology: What Have You Done for Me Lately?€¦ · Mathematical Biology Imagine the Possibilities Mathematical Biology: What Have You Done for Me Lately? J. P. Keener

University of UtahMathematical Biology

theImagine Possibilities

Introduction

The Dilemma of Modern Biology

• The amount of data being collected is staggering. Knowing

what to do with the data is in its infancy.

• The parts list is nearly complete. How the parts work

together to determine function is essentially unknown.

How can mathematics help?

• The search for general principles; organizing and describing

the data in more comprehensible ways.

• Develop quantitative, predictive, mechanistic theories to

replace qualitative, correlative, verbal explanations.

What can a Mathematician tell a Biologist she doesn’t already know? – p. 2/14

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University of UtahMathematical Biology

theImagine Possibilities

Biological Systems are Complex!!

What can a Mathematician tell a Biologist she doesn’t already know? – p. 3/14

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University of UtahMathematical Biology

theImagine Possibilities

Quick Overview of Biology

• The study of biological processes is over many space and

time scales (roughly 1016):

Lots! I hope! – p. 4/14

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University of UtahMathematical Biology

theImagine Possibilities

Quick Overview of Biology

• The study of biological processes is over many space and

time scales (roughly 1016):

• Space scales: Genes → proteins → networks→ cells→

tissues and organs → organism → communities →

ecosystems

Lots! I hope! – p. 4/14

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University of UtahMathematical Biology

theImagine Possibilities

Quick Overview of Biology

• The study of biological processes is over many space and

time scales (roughly 1016):

• Space scales: Genes → proteins → networks→ cells→

tissues and organs → organism → communities →

ecosystems

• Time scales: protein conformational changes → protein

folding → action potentials → hormone secretion → protein

translation → cell cycle → circadian rhythms → human

disease processes → population changes → evolutionary

scale adaptations

Lots! I hope! – p. 4/14

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University of UtahMathematical Biology

theImagine Possibilities

Some Biological Challenges

• DNA -information content and information processing;

Math Physiology – p. 5/14

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University of UtahMathematical Biology

theImagine Possibilities

Some Biological Challenges

• DNA -information content and information processing;

• Proteins - folding, enzyme function;

Math Physiology – p. 5/14

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University of UtahMathematical Biology

theImagine Possibilities

Some Biological Challenges

• DNA -information content and information processing;

• Proteins - folding, enzyme function;

• Cell - How do cells move, contract, secrete, reproduce,

signal, make decisions, regulate energy consumption,

differentiate, etc.?

Math Physiology – p. 5/14

Page 11: Mathematical Biology: What Have You Done for Me Lately?€¦ · Mathematical Biology Imagine the Possibilities Mathematical Biology: What Have You Done for Me Lately? J. P. Keener

University of UtahMathematical Biology

theImagine Possibilities

Some Biological Challenges

• DNA -information content and information processing;

• Proteins - folding, enzyme function;

• Cell - How do cells move, contract, secrete, reproduce,

signal, make decisions, regulate energy consumption,

differentiate, etc.?

• Multicellularity - organs, tissues, organisms, development,

coordinating cellular activities and behaviors.

Math Physiology – p. 5/14

Page 12: Mathematical Biology: What Have You Done for Me Lately?€¦ · Mathematical Biology Imagine the Possibilities Mathematical Biology: What Have You Done for Me Lately? J. P. Keener

University of UtahMathematical Biology

theImagine Possibilities

Some Biological Challenges

• DNA -information content and information processing;

• Proteins - folding, enzyme function;

• Cell - How do cells move, contract, secrete, reproduce,

signal, make decisions, regulate energy consumption,

differentiate, etc.?

• Multicellularity - organs, tissues, organisms, development,

coordinating cellular activities and behaviors.

• Human physiology - health and medicine, drugs,

physiological systems (circulation, immunology, neural

systems), disease processes, epidemics.

Math Physiology – p. 5/14

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University of UtahMathematical Biology

theImagine Possibilities

Some Biological Challenges

• DNA -information content and information processing;

• Proteins - folding, enzyme function;

• Cell - How do cells move, contract, secrete, reproduce,

signal, make decisions, regulate energy consumption,

differentiate, etc.?

• Multicellularity - organs, tissues, organisms, development,

coordinating cellular activities and behaviors.

• Human physiology - health and medicine, drugs,

physiological systems (circulation, immunology, neural

systems), disease processes, epidemics.

• Populations and ecosystems - biodiversity, extinction,

invasions. Math Physiology – p. 5/14

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University of UtahMathematical Biology

theImagine Possibilities

The Need

Report from the Advisory Committee to the NIH Director on the

Biomedical Workforce - 2012

"The NIH Biomedical Workforce report concluded that we

probably have a serious oversupply in the pipeline of basic

science PhD level investigators. BUT there is a serious shortage

in one area, namely quantitative scientists..."

"The report challenged the NIH to initiate a serious and

substantial training effort to close this gap. Thus, the two

independent task forces came to one common conclusion that

there is a serious shortage of trained quantitative scientists and

the gap is widening."

Math Physiology – p. 6/14

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University of UtahMathematical Biology

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Places Math is Needed

• To provide quantitative and predictive theories for how biologicalprocesses work.

Why is Math Biology so hard? – p. 7/14

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University of UtahMathematical Biology

theImagine Possibilities

Places Math is Needed

• To provide quantitative and predictive theories for how biologicalprocesses work.

• Moving across spatial and temporal scales - What details toinclude or ignore, understanding emergent behaviors.

Why is Math Biology so hard? – p. 7/14

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University of UtahMathematical Biology

theImagine Possibilities

Places Math is Needed

• To provide quantitative and predictive theories for how biologicalprocesses work.

• Moving across spatial and temporal scales - What details toinclude or ignore, understanding emergent behaviors.

• Understanding stochasticity - Is it noise or is it real?

Why is Math Biology so hard? – p. 7/14

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University of UtahMathematical Biology

theImagine Possibilities

Places Math is Needed

• To provide quantitative and predictive theories for how biologicalprocesses work.

• Moving across spatial and temporal scales - What details toinclude or ignore, understanding emergent behaviors.

• Understanding stochasticity - Is it noise or is it real?

• The challenge of complex systems (e.g., the nature ofrobustness), to discover general principles underlying biologicalcomplexity. The science of putting the parts together tounderstand how the system works.

Why is Math Biology so hard? – p. 7/14

Page 19: Mathematical Biology: What Have You Done for Me Lately?€¦ · Mathematical Biology Imagine the Possibilities Mathematical Biology: What Have You Done for Me Lately? J. P. Keener

University of UtahMathematical Biology

theImagine Possibilities

Places Math is Needed

• To provide quantitative and predictive theories for how biologicalprocesses work.

• Moving across spatial and temporal scales - What details toinclude or ignore, understanding emergent behaviors.

• Understanding stochasticity - Is it noise or is it real?

• The challenge of complex systems (e.g., the nature ofrobustness), to discover general principles underlying biologicalcomplexity. The science of putting the parts together tounderstand how the system works.

• Data handling and data mining - Extracting information andfinding patterns when you don’t know what to look for, to organizeand describe the data in more comprehensible ways.

Why is Math Biology so hard? – p. 7/14

Page 20: Mathematical Biology: What Have You Done for Me Lately?€¦ · Mathematical Biology Imagine the Possibilities Mathematical Biology: What Have You Done for Me Lately? J. P. Keener

University of UtahMathematical Biology

theImagine Possibilities

Places Math is Needed

• To provide quantitative and predictive theories for how biologicalprocesses work.

• Moving across spatial and temporal scales - What details toinclude or ignore, understanding emergent behaviors.

• Understanding stochasticity - Is it noise or is it real?

• The challenge of complex systems (e.g., the nature ofrobustness), to discover general principles underlying biologicalcomplexity. The science of putting the parts together tounderstand how the system works.

• Data handling and data mining - Extracting information andfinding patterns when you don’t know what to look for, to organizeand describe the data in more comprehensible ways.

• Imaging and Visualization (Medical imaging, protein structure)Why is Math Biology so hard? – p. 7/14

Page 21: Mathematical Biology: What Have You Done for Me Lately?€¦ · Mathematical Biology Imagine the Possibilities Mathematical Biology: What Have You Done for Me Lately? J. P. Keener

University of UtahMathematical Biology

theImagine Possibilities Recent Successes of Quantitative

Approaches

• BioFire Diagnostics

• Merrimack Pharmaceuticals

• Tylenol overdose

Why is Math Biology so hard? – p. 8/14

Page 22: Mathematical Biology: What Have You Done for Me Lately?€¦ · Mathematical Biology Imagine the Possibilities Mathematical Biology: What Have You Done for Me Lately? J. P. Keener

University of UtahMathematical Biology

theImagine Possibilities

BioFire Diagnostics

• A young biotech company developing PCR (Polymerase

Chain Reaction) technology for rapid testing for viral and

bacterial infection.

Why is Math Biology so hard? – p. 9/14

Page 23: Mathematical Biology: What Have You Done for Me Lately?€¦ · Mathematical Biology Imagine the Possibilities Mathematical Biology: What Have You Done for Me Lately? J. P. Keener

University of UtahMathematical Biology

theImagine Possibilities

BioFire Diagnostics

• A young biotech company developing PCR (Polymerase

Chain Reaction) technology for rapid testing for viral and

bacterial infection.

• Mathematical Problems

• reliable algorithms for melting curve analysis and qPCR

(quantitative PCR)

• primer design - high reliability and specificity

• production efficiency, quality control issues

Why is Math Biology so hard? – p. 9/14

Page 24: Mathematical Biology: What Have You Done for Me Lately?€¦ · Mathematical Biology Imagine the Possibilities Mathematical Biology: What Have You Done for Me Lately? J. P. Keener

University of UtahMathematical Biology

theImagine Possibilities

BioFire Diagnostics

• A young biotech company developing PCR (Polymerase

Chain Reaction) technology for rapid testing for viral and

bacterial infection.

• Mathematical Problems

• reliable algorithms for melting curve analysis and qPCR

(quantitative PCR)

• primer design - high reliability and specificity

• production efficiency, quality control issues

• Math Analysis effort spearheaded by 3 of our UofU PhD

students/postdocs

Why is Math Biology so hard? – p. 9/14

Page 25: Mathematical Biology: What Have You Done for Me Lately?€¦ · Mathematical Biology Imagine the Possibilities Mathematical Biology: What Have You Done for Me Lately? J. P. Keener

University of UtahMathematical Biology

theImagine Possibilities

BioFire Diagnostics

• A young biotech company developing PCR (Polymerase

Chain Reaction) technology for rapid testing for viral and

bacterial infection.

• Mathematical Problems

• reliable algorithms for melting curve analysis and qPCR

(quantitative PCR)

• primer design - high reliability and specificity

• production efficiency, quality control issues

• Math Analysis effort spearheaded by 3 of our UofU PhD

students/postdocs

• Last month, BFD sold for $450M cash!

Why is Math Biology so hard? – p. 9/14

Page 26: Mathematical Biology: What Have You Done for Me Lately?€¦ · Mathematical Biology Imagine the Possibilities Mathematical Biology: What Have You Done for Me Lately? J. P. Keener

University of UtahMathematical Biology

theImagine Possibilities

Merrimack Pharmaceuticals

• A young cancer/Systems Biology company

Why is Math Biology so hard? – p. 10/14

Page 27: Mathematical Biology: What Have You Done for Me Lately?€¦ · Mathematical Biology Imagine the Possibilities Mathematical Biology: What Have You Done for Me Lately? J. P. Keener

University of UtahMathematical Biology

theImagine Possibilities

Merrimack Pharmaceuticals

• A young cancer/Systems Biology company

• Developed a large DE simulator of biochemical network

associated with several cancers. Used massive amounts of

high-throughput data of mRNA and protein reactivities to fit

the model.

Why is Math Biology so hard? – p. 10/14

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University of UtahMathematical Biology

theImagine Possibilities

Merrimack Pharmaceuticals

• A young cancer/Systems Biology company

• Developed a large DE simulator of biochemical network

associated with several cancers. Used massive amounts of

high-throughput data of mRNA and protein reactivities to fit

the model.

• Discovered new drug targets

Why is Math Biology so hard? – p. 10/14

Page 29: Mathematical Biology: What Have You Done for Me Lately?€¦ · Mathematical Biology Imagine the Possibilities Mathematical Biology: What Have You Done for Me Lately? J. P. Keener

University of UtahMathematical Biology

theImagine Possibilities

Merrimack Pharmaceuticals

• A young cancer/Systems Biology company

• Developed a large DE simulator of biochemical network

associated with several cancers. Used massive amounts of

high-throughput data of mRNA and protein reactivities to fit

the model.

• Discovered new drug targets

• 6 compounds discovered this way are currently in stages of

FDA approval.

Why is Math Biology so hard? – p. 10/14

Page 30: Mathematical Biology: What Have You Done for Me Lately?€¦ · Mathematical Biology Imagine the Possibilities Mathematical Biology: What Have You Done for Me Lately? J. P. Keener

University of UtahMathematical Biology

theImagine Possibilities

Tylenol Overdose

• The problem: Make a reliable prognosis for people with

acetominophen overdose

Why is Math Biology so hard? – p. 11/14

Page 31: Mathematical Biology: What Have You Done for Me Lately?€¦ · Mathematical Biology Imagine the Possibilities Mathematical Biology: What Have You Done for Me Lately? J. P. Keener

University of UtahMathematical Biology

theImagine Possibilities

Tylenol Overdose

• The problem: Make a reliable prognosis for people with

acetominophen overdose

• Chris Remien and Fred Adler (UofU) built a (relatively

simple) model (system of 7 differential equations) describing

the dynamics of liver damage, glutathione and NAPQI

concentrations, etc. that accurately predicts the outcome of

antidote therapy.

Why is Math Biology so hard? – p. 11/14

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University of UtahMathematical Biology

theImagine Possibilities

Tylenol Overdose

Why is Math Biology so hard? – p. 12/14

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University of UtahMathematical Biology

theImagine Possibilities

Tylenol Overdose

New treatment protocols are currently under investigation ...

Why is Math Biology so hard? – p. 13/14

Page 34: Mathematical Biology: What Have You Done for Me Lately?€¦ · Mathematical Biology Imagine the Possibilities Mathematical Biology: What Have You Done for Me Lately? J. P. Keener

University of UtahMathematical Biology

theImagine Possibilities

The use of math in modern (i.e. post-genomic, data-driven)biology is relatively new. However, the complexity of biologydemands that mathematical/quantitative approaches beencouraged.

Why is Math Biology so hard? – p. 14/14