![]() Complement system that acts as a bridge between both adaptive and innate immunity plays a very important role in clearing the invading pathogens from the host body and gradually helps in restoring the normal physiology (Tomlinson, 1993). Humans have evolved over time with an in-built line of defense system, described as complement (Atkinson et al., 2019) to coexist among plethora of microorganisms, including viruses in the natural environment (Stoermer & Morrison, 2011). The study hints at exploration of polypharmacology approach, as a new avenue for discovering synergistic drug molecule pairs, or drug molecules with ‘broad-range’ binding affinity for targeting the different ‘hot spots’ on hC5a, as an alternative combination therapy for possible management of the ‘cytokine storm’-related inflammatory diseases, like COVID19. The data generated by recruiting a battery of experimental and computational biology techniques strongly suggest that hC5a can sequentially accommodate more than one raloxifene molecule with an estimated Ki ∼ 0.5 µM and Ki ∼ 3.58 µM on its surface at non-analogous sites. Considering BSA-carprofen as a reference model system, the current study further explores the inherent conformational plasticity of hC5a and its effect in accommodating more than one drug molecule cooperatively at multiple sites. Indeed, the proof of principle biophysical studies published recently is encouraging, which strongly supports the potential of this strategy. Given the pleiotropic downstream function of hC5a, it is logical to consider the hC5a or its precursors as potential drug targets, and thus, we have been rationally pursuing the idea of neutralizing the harmful effect of excessive hC5a, by implementing the repurposing strategies for FDA-approved drugs. hC5a has been associated with the pathogenesis of many chronic and acute diseases, due to its proven ability in triggering the ‘cytokine storm’, by binding to its cognate receptor C5aR, expressed in myriad of tissues. In conclusion, what I would love to see in GM: more rhythm, more audience, and some AI stuff.Human C5a ( hC5a), one of the pro-inflammatory glycoproteins of the complement system is known to undergo production hyperdrive in response to stress and infection. I guess this has already been looked into. Maybe something like a generative system that learns from it's own compositions and pursues a style. We can also consider the new trend of "machine learning" as another element that can enrich the generative music context. If anyone is interested in this approach, I'd be happy to collaborate. This could be a revolutionary new paradigm in music distribution. I have been dreaming about a software that lets musicians transform their compositions into generative and compile them into a new format for a generative music app that anyone can use, a sort of generative music Spotify, with something like ".gem" instead of. Especially when it comes to taking generative music to a more general public, more accustomed to rhythmical music. ![]() ![]() I have made some humble attempts on algorithmical sequencing on M4L, and still feel this approach is underdeveloped. What puzzles me about most generative music done to date is that more rhythmical styles are avoided. ![]()
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