Computational Biology of Coronaviruses: Understanding Viral Structure, Function, and Pandemic Preparedness

This podcast episode features Dmitry Korkin, a professor of bioinformatics and computational biology, discussing the intricate world of viruses, particularly coronaviruses like COVID-19 and SARS. Korkin describes viruses as fascinating, intelligent machines perfected through evolution, capable of performing essential functions with minimal information while also adapting through mutation. His group's work involves reconstructing the 3D structure of viral proteins and their interactions with human proteins, creating a structural genomics map to aid in antiviral drug and vaccine development. The conversation delves into the biological mechanisms of viral infection, highlighting the role of the spike protein attaching to the human ACE2 receptor, and the subsequent hijacking of host cell machinery for replication. A key distinction is made between the contagiousness (R0) and pathogenicity of viruses, noting an observed inverse relationship where highly pathogenic viruses tend to be less transmissible between humans.\n\nThe discussion also explores the challenges and nuances in understanding viral biology. Korkin emphasizes that naturally occurring pandemics, driven by the constant emergence of new viral strains (like influenza and coronaviruses), are a greater concern than engineered ones, despite the scientific capacity to alter viruses. He highlights the importance of studying these mechanisms to prevent future outbreaks and develop 'universal vaccines' that could protect against various strains of a virus, unlike the current seasonal flu shots. The complexity of protein folding, where amino acid chains form precise 3D structures, is presented as a major computational challenge, with current methods often relying on known templates rather than ab initio prediction for novel proteins.\n\nFrom a practical standpoint, the episode underscores the critical role of computational science and data analytics in modern biology. Bioinformatics aids experimental scientists by generating predictions about protein function and structure, streamlining the discovery process for drugs and vaccines. The need for interdisciplinary collaboration among biologists, biochemists, pharmaceutical scientists, and computational experts is stressed as essential for tackling complex biological problems. Korkin's group's open data approach for COVID-19 structural information exemplifies this collaborative spirit, making crucial data available to the global research community.\n\nThe broader implications of this research touch upon humanity's ongoing battle with microscopic threats. The "butterfly effect" of tiny viral mutations leading to global pandemics is a stark reminder of nature's power. Despite significant advancements in understanding and combating viruses, Korkin acknowledges that humanity is still at the very beginning of comprehending the full complexity of a single cell, let alone the human mind. The increasing volume of biological data, from next-generation sequencing to live imaging, necessitates equally efficient computational methods to extract knowledge, ultimately contributing to better preparedness and response to future health crises.

"I imagine them as those villains that do their work so perfectly well that's that is impossible not to be fascinated with them."

"it's not a living organism it's a machine to me it's a machine but it is perfected to the way that it essentially has a limited number of functions it needs to do necessary some functions and essentially has enough information just to do those functions as well as the ability to modify itself so you know it's it's a machine it's an intelligent machine"

"I think the intelligence of a virus is in its simplicity the ability to do so much with so little material and information"

"I personally expect in a mostly concerned with the naturally occurring viruses simply because we keep seeing that we keep seeing new strains of influenza emerging some of them becoming pandemic we keep seeing new strains of coronaviruses emerging this is a natural process and I think this is why it's so powerful"

"are not is essentially an average number as person infected by the virus can spread to other people"

"it's not even the size of a virus it's the size of several you know several atoms or says you know few atoms and our sudden this change has such a major impact"

"the balance the delicate balance between the virus being very contagious right so efficient in spreading and virus to be very pathogenic you know causing you know harms you know and and that's to their horse"

"we've yet to comprehend not even try to understand and figure out all the details but we've yet to comprehend the complexity of the cell"

"we've yet to have a robust method to predict the structures of these proteins in a Benicia"

"protein domain is a single unit that typically is evolutionary preserved that typically carries out the single function and typically has a very distinct fault structure 3d structure organization"