34 citations · 88 across the 9 of their papers we have counts for
4 papers · 1 filter
Protein structure generation via folding diffusion
Kevin E. Wu, Kevin K. Yang, Rianne van den Berg +3
The ability to computationally generate novel yet physically foldable protein structures could lead to new biological discoveries and new treatments targeting yet incurable disease…
Random Embeddings and Linear Regression can Predict Protein Function
Tianyu Lu, Alex X. Lu, Alan M. Moses
Large self-supervised models pretrained on millions of protein sequences have recently gained popularity in generating embeddings of protein sequences for protein function predicti…
Evolution Is All You Need: Phylogenetic Augmentation for Contrastive Learning
Amy X. Lu, Alex X. Lu, Alan Moses
Self-supervised representation learning of biological sequence embeddings alleviates computational resource constraints on downstream tasks while circumventing expensive experiment…
Improved Conditional Flow Models for Molecule to Image Synthesis
Karren Yang, Samuel Goldman, Wengong Jin +4
In this paper, we aim to synthesize cell microscopy images under different molecular interventions, motivated by practical applications to drug development. Building on the recent…