AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 2 of 9 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
ProtAug is proposed, a framework that leverages encoder-based and autoregressive pLMs to generate augmented sequences with user-controlled variation levels to investigate pLM-guided substitution-based augmentation across seven protein prediction tasks.
Through a unified two-stage alignment-and-generation pipeline, ProtBLIP2-SST integrates protein sequence and structural information, overcomes the rigidity of traditional GO-centric classification, generating open-ended captions that jointly describe molecular function, subcellular location, and homology context in one single output.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.