Rotamer Density Estimator is an Unsupervised Learner of the Effect of Mutations on Protein-Protein Interaction (ICLR 2023)
APACHE-2.0 License
Transformer with Untied Positional Encoding (TUPE). Code of paper "Rethinking Positional Encoding...
Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch
Geom3D: Geometric Modeling on 3D Structures, NeurIPS 2023
Replication attempt for the Protein Folding Model described in https://www.biorxiv.org/content/10...
A denoising diffusion probabilistic model (DDPM) tailored for conditional generation of protein d...
✌🏻 Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for P...
[ECCV2022] New benchmark for evaluating pre-trained model; New supervised contrastive learning fr...
A repository with exploration into using transformers to predict DNA ↔ transcription factor binding
Implementation of Alphafold 3 in Pytorch
💊 A 3D Generative Model for Structure-Based Drug Design (NeurIPS 2021)
Projecting Molecules into Synthesizable Chemical Spaces (ICML 2024)
To be a next-generation DL-based phenotype prediction from genome mutations.
Multi-modal Molecule Structure-text Model for Text-based Editing and Retrieval, Nat Mach Intell 2...
To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details...