With the convergence of data, computing power, and new methods, computational biology is at its most exciting moment. At PSI, we're asking the leading researche...
Episode 27 - Kresten Lindorff-Larsen: Refining force fields, the science of intrinsically disordered proteins, and writing better grant proposals
Send us a textIn episode 27, Kresten starts by explaining his path from a wet lab biochemist to a computational biophysicist, a story full of open-ended explorations and helpful mentors. He gives us some background on how both the legacy and latest models developed, highlighting how in each case the driving force were experimental results that either weren't quite matching simulations, or were plenty enough to allow for top-down training. We walk through some of the functions and applications of intrinsically disordered regions, or IDRs in short, and their relevance for medical research. Then towards the end, Kresten shares some tips and observations from his work in grant evaluation, insisting that internal peer review remains the best source of feedback, but in the end it's one's scientific intuition that has to guide us.
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Episode 26 - Pratyush Tiwary: Infusing AI with physics, understanding emergent phenomena, the value of education and thinking
Send us a textIn episode 26, we talk about the origins of Pratyush's passion for statistical mechanics, deeply rooted in his background in material science, and think about how we can promote a profound understanding of statmech theory among people working in computational biophysics. From there, we explore ways of re-introducing physical rigor into modern data-driven approaches, which is the main concern that Pratyush says drives his research agenda. He ends up sharing a ton of interesting points on working with the industry, the value of education and knowledge sharing, or the philosophy of complex and cognitive systems, and ends up with a call for more time for silent thinking, where - he says - most of his original ideas came from.
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Episode 25 - Ivet Bahar: Elastic network models, targeting hinges for drug discovery, persistence and alertness
Send us a textIn episode 25, Ivet and me start with a general overview of the elastic network theory and its applications to biology, as well as its strengths and limitations. Ivet then tells us about the specific takeaways from the different lines of her research, talking about evolutionary dynamics signatures, mode excitations in allosteric effects, as well as her recent research on the relevance of hinge regions for drug discovery. We talk about the relevance of the proteins-as-graphs picture for machine learning, and end up with a few general reflections about the complementary roles of persistence and alertness in scientific careers.
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Episode 24½ - My thoughts on season 3
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Episode 24 - Katarzyna Marcinkiewicz [Nature Communications]: The job of a full-time editor, transparency and other novelties in publishing, and coaching the review process
Send us a textIn episode 24, Katarzyna talks about the everyday concerns and common threads of an editor's job, from continuously learning about the rapid developments in the field to navigating the review process. She shares some inside stories about the experimental features that journals tinker with these days, and it's good to know that many interesting ideas are being tested out there in the wild. We then discuss a bit about the evolution of the publishing process, including its perception among us research scientists. We largely leave the questions of profits and finance out of the conversation, so this is purely a conversation between two science aficionados who care deeply about the scientific enterprise being transparent, just, open to novelty and focused on quality evidence.
With the convergence of data, computing power, and new methods, computational biology is at its most exciting moment. At PSI, we're asking the leading researchers in the field to discover where we're headed for, and which exciting pathways will take us there. Whether you're just thinking of starting your research career or have been computing stuff for decades, come and join the conversation!
Ireland