Comments (2)
Hi @JHucker,
You are right, reactions with reactants "consumed" multiple times are not predicted adequately in the current version of rxnmapper
. I do not see an easy fix for that, and it would probably require some extended research / trial-and-error to detect this automatically.
Balancing the reactions prior to mapping should work, usually.
Let us know if that doesn't answer your question, and sorry for not being able to provide you with an easy solution.
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Thanks, @avaucher. At present this is sufficient information. However, in future, it would be excellent to see this introduced as a new feature. I will re-raise this in future if I can obtain sufficient justification and more examples including output from other AAM tools re-using reactants.
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Related Issues (20)
- Error when installing from PIP HOT 5
- If a low confidence score means that the obtained mapped_rxn is invalid and can not use it? HOT 2
- atom mapping for some reaction is error, how to fix this probrom HOT 4
- AttributeError: 'SmilesTokenizer' object has no attribute 'max_l HOT 4
- Request: All source code to reproduce will be contained in this repository? HOT 1
- False atom mapping result. HOT 2
- Script to finetune model? HOT 1
- segmentation fault HOT 3
- ValueError when processing reaction smiles HOT 2
- Cannot run on M1 Mac
- Training dataset of rxnmapper? HOT 1
- rxn module not present in 0.2.0 release -- ModuleNotFoundError HOT 3
- Can not reproduce the result of Fig 4. HOT 2
- Can you share the code to reproduce the figure 4(A)? HOT 2
- pip error with python 3.11 HOT 13
- Error while generating Atom-atom mapping HOT 1
- Could you share the script to train the model? HOT 1
- if the atom mapping is invalid, should we remove this reaction when trainning model? HOT 2
- use get_attention_guided_atom_maps on generic compound HOT 1
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