allanchen95 / ESMPairLinks
Bib'23: Improved the Heterodimer Protein Complex Prediction with Protein Language Models
β15Updated last year
Alternatives and similar repositories for ESMPair
Users that are interested in ESMPair are comparing it to the libraries listed below
Sorting:
- π Structure-aware adapter fine-tuning PLMs, with high training speed and impressive performance (Journal of Chemical Information and Modβ¦β24Updated 2 months ago
- NeurIPS 2023 Spotlight paper: Full atom protein pocket design via iterative refinementβ48Updated last year
- Joint Sequence-Structure Generation of Nucleic Acid and Protein Complexes with SE(3)-Discrete Diffusionβ58Updated last year
- Highly accurate and efficient deep learning paradigm for full-atom protein loop modeling with KarmaLoopβ13Updated last year
- A comprehensive benchmark on the performances of multiple protein backbone generative models.β61Updated last month
- Source code of the paper "Protein Sequence and Structure Co-Design with Equivariant Translation"β24Updated last year
- Implementation of DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packingβ88Updated last year
- β17Updated 8 months ago
- A geometry-complete SE(3)-equivariant perceptron network (GCPNet) for 3D graphs. (Bioinformatics)β47Updated 2 months ago
- Code and Pre-Trained Models for "AttnPacker: An end-to-end deep learning method for protein side-chain packing"β85Updated last year
- β40Updated last month
- Structure-conditioned masked language modeling for protein sequence designβ64Updated last year
- InteractionGraphNet: a Novel and Efficient Deep Graph Representation Learning Framework for Accurate Protein-Ligand Interaction Predictioβ¦β31Updated 3 years ago
- Codebase of paper "Structure Language Models for Protein Conformation Generation" (ICLR'25)β58Updated 4 months ago
- Code for 'On Pre-trained Language Models For Antibody'β33Updated 2 years ago
- Converts AlphaFold distograms into distance matrices and saves them into a number of formatsβ12Updated 2 years ago
- β36Updated last month
- DFMDock (Denoising Force Matching Dock), a diffusion model that unifies sampling and ranking within a single framework.β47Updated last month
- The first large protein language model trained follows structure instructions.β82Updated last month
- β33Updated last year
- Code of βMulti-Modal Deep Learning Enables Ultrafast and Accurate Annotation of Enzymatic Active Sitesββ37Updated 4 months ago
- Official implementation of Generative Diffusion Models for Antibody Design, Docking, and Optimization.β60Updated last year
- coming soonβ28Updated 2 years ago
- Zero-Shot 3D Drug Design by Sketching and Generating (NeurIPS 2022)β34Updated 2 years ago
- Implementation of ICLR23 paper "Molecule Generation for Target Protein Binding with Structural Motifs"β69Updated last year
- β12Updated 7 months ago
- Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model (NeurIPS 2023 Poster)β36Updated last year
- Implementation of the Confidence Bootstrapping procedure for protein-ligand docking.β26Updated last year
- The Enhanced Database of Interacting Protein Structures for Interface Predictionβ49Updated last year
- β28Updated last year