Not sure where this should go - I have v. limited experience here and it is not in my profile, so I say this and nip off. Anyway - hats off for a fine concept and the best of luck
The idea I want to pass on here is one I try on commercial research but they are cautious due to deniability and litigation.
I propose that you set up mechanisms to recieve actual structural files when you discuss chemical or biological structure related questions. The point being that you can forever associate the comments or threads or blog entries (whatever) with that structure file. In this way you can later perform all manner of searches and comparisons with the stored structural data and also serve up human comments related to those structure entry appearances. Actually what you are doing is storing human information which is difficult to search massively (so far) with a well constrained concept which can very easily be power searched (structure graphs). Structural files in information speak are very highly specific and even with very large collections of files the power of the query launguage (structure query) can allow you to produce query results with very little junk - at least on the structural side (human related comments can of course be junk). Downstream - with more data there are manifold possibilities to mine the structure files to generate knowledge and if all goes well the power of the text handling side shows much promise to multiply the value of the human comments
On the discussion enhancing side I am sure having, at least, images of structures and possibly 3D binding pocket views would be cool - especially if you can save the view and publish it (say as a gif) and attach it to your posts/blog to support your comments, of course as a structure file opponents are at liberty to open it, re-evaluate and suggest alternatives - especially if they can open the file from your wewbsite and be looking exactly at the view and trimmings. If we factor virtual discovery surfaces in here then we could multiply the power of the forum massively