Stars
RiboNN: predicting translation efficiencies from mRNA sequences
DockQ is a single continuous quality measure for Protein, Nucleic Acids and Small Molecule Docking Models
A curated list for awesome discrete diffusion models resources.
A benchmark for 3D biomolecular structure prediction models
All-atom protein generation using latent diffusion, with compositional function and taxonomic prompts. http://bit.ly/plaid-proteins
A generative model for programmable protein design
PLM-interact: extending protein language models to predict protein-protein interactions.
Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies
✌🏻 Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures (NeurIPS 2022)
Implementation of Alpha Fold 3 from the paper: "Accurate structure prediction of biomolecular interactions with AlphaFold3" in PyTorch
Code for paper: "Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design"
Chai-1, SOTA model for biomolecular structure prediction
gReLU is a python library to train, interpret, and apply deep learning models to DNA sequences.
SEIKO is a novel reinforcement learning method to efficiently fine-tune diffusion models in an online setting. Our methods outperform all baselines (PPO, classifier-based guidance, direct reward ba…
(NeurIPS2023) "Future-Dependent Value-Based Off-Policy Evaluation in POMDPs"