I did drop the sequences into alphafold, and I don’t see any large structural variation from the SNPs, but (a) that histidine substitution would most likely change binding rather than structure in isolation, and (b) this is exactly the sort of case where I don’t trust alphafold much, because “this is one substitution away from a standard sequence, I’ll just output the structure of that standard sequence” is exactly the sort of heuristic I’d expect a net to over-rely upon.
Even if the structure is correct and does look the same, the binding properties of the receptor could still be different if the histidine is in the part that’s relevant for the receptor binding.
The thing you want is a tool that tells you how the receptor binding properties change through the mutation not the AlphaFold that just gives you the 3D structure. A quick question at GPT-5, suggests that there are freely available tools that tell you how the receptor binding properties change via a single point mutation.
Even if the structure is correct and does look the same, the binding properties of the receptor could still be different if the histidine is in the part that’s relevant for the receptor binding.
The thing you want is a tool that tells you how the receptor binding properties change through the mutation not the AlphaFold that just gives you the 3D structure. A quick question at GPT-5, suggests that there are freely available tools that tell you how the receptor binding properties change via a single point mutation.