ReLSO-Guided-Generative-Protein-Design-using-Regularized-Transformers
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KrishnaswamyLab
a Transformer-based neural network for generating highly optimized protein sequences called Regularized Latent Space Optimization (RELSO)
where is relso.grad.models ? hello,thank your works. when rerun,When I run run_evals.py, I encounter the following problem: File "run_evals.py", line 20, in < module> import relso.grad.models as hmodels ModuleNotFoundError: No...
Hi, Thank you for putting together the code on github. However I encountered some installation problems. Here are a couple: 1) There are inconsistencies in the package requirements. The relso_env.yml...
I'm very intersted in your work and analysize the gifford data. Firstly, I use the CD-HIT( a Cluster tool) split into different clusters.Then, I chose the sequence (comes the Clsuter-1(a...
In `pooling.py` there is `self.fc1` which has output **dim = input_dim//2** and `self.glob_attn_module` with input **dim = input_dim**. In forward step there is an if condition that applies `self.fc1` and...
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a Transformer-based neural network for generating highly optimized protein sequences called Regularized Latent Space Optimization (RELSO)