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Typos fixed in lines 27, 84, 88, 123, 124, 128 #24

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Typos fixed in lines 27, 84, 88, 123, 124, 128 #24

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12 changes: 6 additions & 6 deletions README.md
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Expand Up @@ -24,7 +24,7 @@ Workflow
========
![Fig1](figures/fig_1.png)

Deep learning Archietectures
Deep learning Architectures
====================
![Fig2](figures/fig_2.png)

Expand Down Expand Up @@ -81,11 +81,11 @@ For designing the novel drug molecules with SMILES representation, you should do

3. train_graph.py:

Pre-training an training the graph transformer model with graph representation under supvervision and reinforcement learning frameworks, respectively.
Pre-training an training the graph transformer model with graph representation under supervision and reinforcement learning frameworks, respectively.

4. train_smiles.py:

Pre-training an training the SMILES-based deep learning models with SMILES representation under supvervision and reinforcement learning frameworks, respectively.
Pre-training an training the SMILES-based deep learning models with SMILES representation under supervision and reinforcement learning frameworks, respectively.


5. designer.py:
Expand Down Expand Up @@ -120,12 +120,12 @@ In addition, this toolkit also provides some other scripts for definition of spe

5. utils/modifier.py

It provides a variety of desirability function to normalize the scoring furntions.
For more details, please check [GuacaMol](https://pubs.acs.org/doi/10.1021/acs.jcim.8b00839) benchemark.
It provides a variety of desirability function to normalize the scoring functions.
For more details, please check [GuacaMol](https://pubs.acs.org/doi/10.1021/acs.jcim.8b00839) benchmark.

6. utils/objective.py

It provides the construction of different scoring functions, including similary score,
It provides the construction of different scoring functions, including similarly score,
chemical properties, QSAR modelling, etc. Moreoever, it can also integrate multiple
objective into an environment to calculate reward for the agent.

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