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    a16z journal club

    Explore "a16z journal club" with insightful episodes like "Journal Club: Revisiting Eroom's Law", "Journal Club: Therapeutic Video Game on Trial", "Journal Club: Building a Better Chloroplast" and "Journal Club: Finding New Antibiotics with Machine Learning, What Coronavirus Structures Tell Us" from podcasts like ""a16z Podcast", "a16z Podcast", "a16z Podcast" and "a16z Podcast"" and more!

    Episodes (4)

    Journal Club: Revisiting Eroom's Law

    Journal Club: Revisiting Eroom's Law

    Eroom’s Law is Moore’s Law spelled backwards. It’s a term that was coined in a Nature Reviews Drug Discovery article by researchers at Sanford Bernstein and describes the exponential decrease in biopharma research and development efficiency between the 1950s and 2010. Whereas Moore’s describes technologies becoming exponentially faster and cheaper over time, Eroom’s Law describes the trend of drug development becoming exponentially more expensive over time.

    The article describing Eroom’s Law was published in 2012, and analyzed data up till 2010. That is perhaps ironic as 2010 appears to be an inflection point in the trend. In Breaking Eroom’s Law, the authors analyze the data since 2010 and show that costs appear to have stabilized over the last ten years. But what has contributed to this critical and exciting trend shift? In our conversation, Jorge and Vijay discuss the three causes cited by the authors of the Breaking Eroom’s Law article, their views on what technologies and policies will continue to push costs down, and their opinion on whether Eroom’s Law is broken for good.

    Journal Club: Therapeutic Video Game on Trial

    Journal Club: Therapeutic Video Game on Trial

    In this episode of the a16z bio journal club, we cover one of the key clinical trials that supported the recent FDA approval of the first prescription video game. The game was developed by Akili Interactive, is called EndeavorRx, and is now a clinically-validated therapy for improving attention in children with Attention Deficit Hyperactivity Disorder (ADHD). 

    But how does a game improve attention? How does a clinical trial evaluate the efficacy of a game? And what are the pros and cons of a video game as compared to traditional pharmacological therapies for ADHD? Bio deal team partner Justin Larkin and Lauren Richardson delve into these questions and more in their discussion of this clinical trial:

    A novel digital intervention for actively reducing severity of paediatric ADHD (STARS-ADHD): a randomised controlled trial” in Lancet Digital Health (April 2020) by Scott H Kollins, Denton J DeLoss, Elena Cañadas, Jacqueline Lutz, Robert L Findling, Richard S E Keefe, Jeffery N Epstein, Andrew J Cutler, and Stephen V Faraone.

    a16z bio Journal Club (part of the a16z Podcast), curates and covers recent advances from the scientific literature -- what papers we’re reading, and why they matter from our perspective at the intersection of biology & technology (for bio journal club). You can find all these episodes at a16z.com/journalclub.

    Journal Club: Building a Better Chloroplast

    Journal Club: Building a Better Chloroplast

    In this episode of the a16z bio Journal Club, bio deal team partner Judy Savitskaya and Lauren Richardson discuss research that aims to enhance the efficiency of photosynthesis and carbon fixation. These two processes are used by plants and other phototrophs (like algae) to convert light energy and carbon dioxide from the air into organic matter. The pathways took millions of years to evolve, but can scientists use advances in biochemistry and synthetic biology to increase their efficiency? 

    The two discussed were both published in the journal Science and are both from the lab of Tobias Erb at the Max Planck Institute for Terrestrial Microbiology. The first article, published in 2016 develops a synthetic pathway for the fixation of carbon dioxide in vitro. The second article, which was published in May, combines this synthetic carbon fixation pathway with the natural photosynthetic pathway isolated from spinach to create an artificial chloroplast.

    This combination of natural and synthetic components to improve the efficiency of these pathways has a number of potential applications, including in engineering our crops to grow faster. We discuss these exciting applications, how evolution has restricted the efficiency of carbon fixation and how these engineered solutions get around that problem, and the use of microfluidics for vastly improved experimental design. 

    "A synthetic pathway for the fixation of carbon dioxide in vitro" in Science (November 2016), by Thomas Schwander, Lennart Schada von Borzyskowski, Simon Burgener, Niña Socorro Cortina, Tobias J. Erb

    "Light-powered CO2 fixation in a chloroplast mimic with natural and synthetic parts" in Science (May 2020), by Tarryn E. Miller, Thomas Beneyton, Thomas Schwander, Christoph Diehl, Mathias Girault, Richard McLean, Tanguy Chotel, Peter Claus, Niña Socorro Cortina, Jean-Christophe Baret, Tobias J. Erb

    a16z Journal Club (part of the a16z Podcast), curates and covers recent advances from the scientific literature -- what papers we’re reading, and why they matter from our perspective at the intersection of biology & technology (for bio journal club). You can find all these episodes at a16z.com/journalclub.

    Journal Club: Finding New Antibiotics with Machine Learning, What Coronavirus Structures Tell Us

    Journal Club: Finding New Antibiotics with Machine Learning, What Coronavirus Structures Tell Us

    a16z Journal Club (part of the a16z Podcast), curates and covers recent advances from the scientific literature -- what papers we’re reading, and why they matter from our perspective at the intersection of biology & technology (for bio journal club). This inaugural episode covers 2 different topics, in discussion with Lauren Richardson:

    0:26 #1 identifying new antibiotics through a novel machine-learning based approach -- a16z general partner Vijay Pande and bio deal partner Andy Tran discuss the business of pharma; the specific methods/  how it works; and other applications for deep learning in drug discovery and development based on this paper:

    • "A Deep Learning Approach to Antibiotic Discovery" in Cell (February 2020), by Jonathan Stokes, Kevin Yang, Kyle Swanson, Wengong Jin, Andres Cubillos-Ruiz, Nina Donghia, Craig MacNair, Shawn French, Lindsey Carfrae, Zohar Bloom-Ackermann, Victoria Tran, Anush Chiappino-Pepe, Ahmed Badran, Ian Andrews, Emma Chory, George Church, Eric Brown, Tommi Jaakkola, Regina Barzilay, James Collins

    11:43 #2 characterizing the novel coronavirus causing the COVID-19 pandemic -- a16z bio deal partner Judy Savitskaya shares what we can learn from the protein structures; the relationship to the 2002-2004 SARS epidemic; and more based on these two research articles: 

    You can find these episodes at a16z.com/journalclub.