Coverbild der Sendung Phase Space Invaders (ψ)

Phase Space Invaders (ψ)

Podcast von Miłosz Wieczór

Englisch

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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!

Alle Folgen

36 Folgen

Episode Episode 32 - Robert Best, Sonya Hanson, Xuhui Huang: Driving the Future of Biophysics. What’s Next in Theory and Computation? Cover

Episode 32 - Robert Best, Sonya Hanson, Xuhui Huang: Driving the Future of Biophysics. What’s Next in Theory and Computation?

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24. März 2026 - 1 h 4 min
Episode Episode 31 - Ezgi Karaca: Protein docking post-AlphaFold, legacy integrative modeling, and the importance of training events Cover

Episode 31 - Ezgi Karaca: Protein docking post-AlphaFold, legacy integrative modeling, and the importance of training events

Send us Fan Mail [https://www.buzzsprout.com/2313153/fan_mail/new]

3. Feb. 2026 - 43 min
Episode Episode 30 - Zan Luthey-Schulten: Whole-cell modeling, integrating biology through computation, and why honest collaborators are the best Cover

Episode 30 - Zan Luthey-Schulten: Whole-cell modeling, integrating biology through computation, and why honest collaborators are the best

Send us Fan Mail [https://www.buzzsprout.com/2313153/fan_mail/new] In Episode 30, Zan Luthey-Schulten tells us the story of her most ambitious project over the last fifteen years or so: creating whole-cell simulations. In a reminder that true science knows no boundaries, she ties together a whole range of scientific disciplines - hardware optimization, stochastic calculus, reaction rates, advanced Hamiltonians, synthetic biology, cell imaging data, to eventually approach bioengineering and medicine. Zan also shares her stories and thoughts about how to pick collaborators, how to work together, and what we computational scientists can learn both from each other and from the broader field of biology or biophysics.

20. Jan. 2026 - 1 h 24 min
Episode Episode 29 - Jérôme Hénin: Free energy methods, building useful software, and human learning from biomolecular systems Cover

Episode 29 - Jérôme Hénin: Free energy methods, building useful software, and human learning from biomolecular systems

Send us Fan Mail [https://www.buzzsprout.com/2313153/fan_mail/new] Jerome starts our conversation by reviewing the history of the ABF method and its advantages compared to the main competitors, and connects it to the development of COLVARS, historically very parallel to how the development of the Plumed tool stemmed from the needs of the metadynamics community. We discuss the benefits of graphical interfaces in biomolecular workflows, and touch upon the question of connecting multiple software environments and communities. We then move on to discuss membrane systems and the challenges they pose, both historically and today, and end up on the alchemical side, talking about the latest approaches to alchemical free energy calculations from several exciting angles. Eventually, we agree that regardless of software developments, it's learning and helping others learn to understand molecular systems that's the most rewarding part of the job of a biophysicist.

22. Apr. 2025 - 46 min
Episode Episode 28 - Yuji Sugita: Replica exchange, software for massive simulations, and importance of long-distance collaborations Cover

Episode 28 - Yuji Sugita: Replica exchange, software for massive simulations, and importance of long-distance collaborations

Send us Fan Mail [https://www.buzzsprout.com/2313153/fan_mail/new] In Episode 28, Yuji Sugita shares the story of how he developed temperature replica exchange in the lab of Yuko Okamoto, connecting to his early experience from working with Nobuhiro Go, the father of Go models. We then talk about the process of building up workflows for simulating massive atomistic systems, a multi-year collaboration with Michael Feig, and ponder the question of when one should go about writing their own scientific software rather than reusing existing software packages. Talking about molecular crowding naturally brings us to current and future directions, which for Yuji include simulating increasingly multi-component condensates and exploring multi-resolution schemes in GENESIS. Towards the end, he highlights the need for young researchers to engage with the international community through long-distance collaborations, regardless of where one ends up living and working.

15. Apr. 2025 - 38 min
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