Automatic Generation of Novel Highly-Functional: New Evidence in Space & Astronomy
Automatic Generation of Novel Highly-Functional: New Evidence in Space & Astronomy: While multiple methods now exist to generate functional sequence variants from existing annotated examples, it is unclear how well such methods can be used to generate sequences that exceed the functionality of those contained in the example set. Using two complete fitness landscapes, we quantify how effectively generative tools can search sequence space and find rare, novel, highly functional sequences, focusing on variational auto-encoders and information-theoretic methods. Published via arXiv Open Science Wire (https://arxiv.org/abs/2611.03603v1).