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Found 2 papers, 2 papers with code
Plug & Play Directed Evolution of Proteins with Gradient-based Discrete MCMC
We introduce a sampling framework for evolving proteins in silico that supports mixing and matching a variety of unsupervised models, such as protein language models, and supervised models that predict protein function from sequence.
Message-passing neural networks for high-throughput polymer screening
We show that message-passing neural networks trained with and without 3D structural information for these molecules achieve similar accuracy, comparable to state-of-the-art methods on existing benchmark datasets.
BIG-bench Machine Learning
Vocal Bursts Intensity Prediction
