Workshop
|
|
Joint Protein Sequence-Structure Co-Design via Equivariant Diffusion
Ria Vinod
|
|
Poster
|
Thu 9:00
|
PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding
Minghao Xu · Zuobai Zhang · Jiarui Lu · Zhaocheng Zhu · Yangtian Zhang · Ma Chang · Runcheng Liu · Jian Tang
|
|
Workshop
|
|
Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models
Namrata Anand · Tudor Achim
|
|
Workshop
|
|
Masked inverse folding with sequence transfer for protein representation learning
Kevin Yang · Niccoló Zanichelli · Hugh Yeh
|
|
Workshop
|
|
A Benchmark Framework for Evaluating Structure-to-Sequence Models for Protein Design
Jeffrey Chan · Seyone Chithrananda · David Brookes · Sam Sinai
|
|
Workshop
|
|
Ligand-aware protein sequence design using protein self contacts
Jody Mou · Benjamin Fry · Chun-Chen Yao · Nicholas Polizzi
|
|
Workshop
|
Sat 7:15
|
Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models
Namrata Anand · Tudor Achim
|
|
Workshop
|
|
EvoOpt: an MSA-guided, fully unsupervised sequence optimization pipeline for protein design
Hideki Yamaguchi · Yutaka Saito
|
|
Workshop
|
|
TranceptEVE: Combining Family-specific and Family-agnostic Models of Protein Sequences for Improved Fitness Prediction
Pascal Notin · Lodevicus van Niekerk · Aaron Kollasch · Daniel Ritter · Yarin Gal · Debora Marks
|
|
Workshop
|
|
Protein Sequence Design in a Latent Space via Model-based Reinforcement Learning
Minji Lee · Luiz Felipe Vecchietti · Hyunkyu Jung · Hyunjoo Ro · Ho Min Kim · Meeyoung Cha
|
|
Workshop
|
Sat 12:20
|
Seq2MSA: A Language Model for Protein Sequence Diversification
Pascal Sturmfels · Roshan Rao · Robert Verkuil · Zeming Lin · Tom Sercu · Adam Lerer · Alex Rives
|
|
Workshop
|
|
Training self-supervised peptide sequence models on artificially chopped proteins
Gil Sadeh · Zichen Wang · Jasleen Grewal · Huzefa Rangwala · Layne Price
|
|