drug discovery

Season 5, Episode 2: Novel Translational Therapeutics with Linda Goodman

Episode Contributors: Ayush Noori, Ashton Trotman-Grant, Linda Goodman

Episode Summary: Millions of people die every year from chronic diseases. Traditional drug discovery has failed in identifying solutions to many of these persistent health challenges. Functional genomics is offering a way forward by identifying gene networks and enabling the development of drugs with very specific targets. But, rather than just relying on gene targets within humans, Linda and her company, Fauna Bio, is casting a wider net across the animal kingdom. Extreme adaptation is common across many mammals, giving us an incredible pool of potential targets to go after. Whereas a single heart attack can kill a person, certain animals not only survive 25 heart attacks a year but also go on to thrive, living 2x longer than other mammals their size. By identifying and understanding the gene networks underlying these extreme adaptations, Fauna can identify novel targets across 415 different species, map them to human genes, and develop drugs that exploit our natural protective physiological mechanisms.

However, the process by which gene transcription is regulated is incredibly complex; thus, prediction transcriptional regulation has been an open problem in the field for over half a century. In his work, Eeshit used neural networks to predict the levels of gene expression based on promoter sequences. Then, he reverse engineered the model to design specific sequences that can elicit desired expression levels. Eeshit’s work developing a sequence-to-expression oracle also provided a framework to model and test theories of gene evolution.

About the Guest

  • Linda is the Co-Founder and CTO at Fauna Bio, a biotechnology company leveraging the science of hibernation to improve healthcare for humans.

  • She earned an MPhil in Computational Biology from the University of Cambridge and got her Ph.D. in Genetics and Genomics from Harvard University.

Key Takeaways

  • Many mammals have evolved complex adaptations that enable them to survive in extreme environments or withstand physiological events that humans cannot.

  • At Fauna Bio, Linda Goodman and her team are working to better understand the biological networks that underlie these adaptations, in hopes of developing therapeutics inspired by the adaptations of the animal kingdom.

Impact

  • Drawing on a completely new source of knowledge about the defense mechanisms of living organisms, Fauna Bio goes beyond the limitations of traditional drug development and looks for better, more effective drugs based on natural defense mechanisms.

Company: Fauna Bio


Season 2, Episode 2: A New Era of Antibiotic Discovery with James Martin

First Authors: James Martin, Benjamin Bratton, Joseph Sheehan

Episode Summary: Bacteria are rapidly evolving ways to resist antibiotics, causing minor infections to become life-threatening events. Compounding the problem, new antibiotics have been incredibly challenging to develop and pharma is economically disincentivized to invest in finding them. James Martin and his colleagues Joseph Sheehan and Benjamin Bratton took on this challenge, developing an extremely potent antibiotic that targets multiple different classes of bacteria. James tells the story of identifying this antibiotic, understanding its potential, and pinpointing how its structure begets its function. Describing the state-of-the art CRISPR screens, proteomics, and machine learning methods they used, James calls for a new era of antibiotic discovery to meet the impending wave of superbugs.

About the Author

  • James Martin performed this work as a graduate student in Professor Zemer Getai’s lab at Princeton University.

  • James’s optimism and drive to understand a problem from all angles led him and his colleagues to develop one of the most potent antibiotics ever found.

Key Takeaways

  • Our arsenal of antibiotics will soon be worthless, as bacteria evolve ways to get around their killing effects.

  • Adding new antibiotics to this arsenal has been slow because they are challenging to discover and they have poor return on investment.

  • Synergizing a number of new biological tools available, like high throughput microscopy, CRISPR, and machine learning, new antibiotics can be developed and understood faster than ever before.

  • Applying this fresh take on antibiotic discovery, a novel drug is found that targets a wide-variety of bacteria and is difficult to evolve resistance to.

Translation

  • Moving this extremely potent compound to the clinic will require some smart biochemistry to make it a better drug.

  • The research of James and his colleagues demonstrates a paradigm shift in how antibiotic discovery pipelines are performed to more easily and rapidly find these new drugs.

Paper: A Dual-Mechanism Antibiotic Kills Gram-Negative Bacteria and Avoids Drug Resistance