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Dr. Ali Hassanali from the Abdus Salam International Centre for Theoretical Physics (ICTP) is back with a new lecture! This time, Ali discusses the role of amide bonds and dipole moments in the dynamics and stability of protein folding. He investigates how amino acid sequences transform from unfolded to folded states, emphasizing the various interactions that play a crucial role in this fundamental biological process.

🎥 You can access this hashtag#OpenAccess lecture for free on Enabla and engage in meaningful online discussions with Dr. Hassanali and the Enabla community regarding protein folding dynamics and stability: enabla.com/pub/1024/about

This is a fantastic opportunity to expand your understanding of protein structure and the factors influencing it, including external conditions like pH and temperature, as well as the impact of post-translational modifications.

A few weeks ago, I shared a differential equations tutorial for beginners, written from the perspective of a neuroscientist who's had to grapple with the computational part. Following up on that, I've now tackled the first real beast encountered by most computational neuroscience students: the Hodgkin-Huxley model.

While remaining incredibly elegant to this day, this model is also a mathematically dense system of equations that can overwhelm and discourage beginners, especially those with non-mathematical backgrounds. Similar to the first tutorial, I've tried to build intuition step-by-step, starting with a simple RC circuit, layering in Na⁺ and K⁺ channels, and ending with the full spike-generation story.

Feedback is welcome, especially from fellow non-math converts.
neurofrontiers.blog/building-a

#ComputationalNeuroscience #Python #hodgkinHuxleyModel #math #biophysics

From: @neurofrontiers
neuromatch.social/@neurofronti

Neurofrontiers · Building a virtual neuron - part 2 - Neurofrontiers
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