fragment-based-dgm
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Why not directly use a simple RNN to generate molecules (like REINVENT) ?
Hello~ I have a new question to ask you😂. Why not directly use an RNN to generate molecules (just like REINVENT), but use a seq2seq model?
Not sure what you mean, this is simply a different approach to the learning task.
- These two generation methods should be applicable in this article of yours?
- However, there are hundreds of thousands of Vocabulary on the model that does not use LFM. Will the generated model be problematic?
- More over, why choose BRICS instead of RECAP to break down molecules?Is it because RECAP cannot assemble fragments?