In the paper it is mentioned that "An advantage of
our approach is that diffusion can be directly guided by function classifiers that operate in sequence space. We first
sought to guide the network with the DeepGOPlus Gene Ontology (GO) classifier36 to generate proteins with specific
characteristics and functions. Although GO classification scores increased with guidance for nitrogen compound
metabolic process (GO:0006807) and membrane (GO:0016020), we found the classifier had a high false positive rate
often assigning high scores to native sequences outside the GO domain (Figure S10)."
I wonder where is this classifier guidance implemented? I can't seem to find it in the code. If I want to try other classifiers with your code, where should I add the gradients to? Thanks
In the paper it is mentioned that "An advantage of
our approach is that diffusion can be directly guided by function classifiers that operate in sequence space. We first
sought to guide the network with the DeepGOPlus Gene Ontology (GO) classifier36 to generate proteins with specific
characteristics and functions. Although GO classification scores increased with guidance for nitrogen compound
metabolic process (GO:0006807) and membrane (GO:0016020), we found the classifier had a high false positive rate
often assigning high scores to native sequences outside the GO domain (Figure S10)."
I wonder where is this classifier guidance implemented? I can't seem to find it in the code. If I want to try other classifiers with your code, where should I add the gradients to? Thanks