Ced3-han / PepHARLinks
[ICLR 2025] Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension
☆16Updated 7 months ago
Alternatives and similar repositories for PepHAR
Users that are interested in PepHAR are comparing it to the libraries listed below
Sorting:
- Repository for paper Nanobody–antigen interaction prediction with ensemble deep learning and prompt-based protein language models.☆42Updated last year
- Code for humanization of antibody and nanobody☆67Updated 4 months ago
- ☆34Updated 2 years ago
- ☆19Updated last month
- ☆61Updated last year
- Baseline model for PPB-Affinity benchmark data☆34Updated 7 months ago
- KA-Search: Rapid and exhaustive sequence identity search of known antibodies☆23Updated last year
- Pretrainable geometric graph neural network for antibody affinity maturation☆70Updated 9 months ago
- Official implementation of Generative Diffusion Models for Antibody Design, Docking, and Optimization.☆60Updated 2 years ago
- ☆33Updated last year
- ☆73Updated 5 years ago
- ☆21Updated 8 months ago
- Nature Computational Science: RhoDesign is a structure-to-sequence model for RNA design.☆53Updated last year
- A Score-Only Adaptation of AlphaFold3 for Biomolecular Structure Evaluation☆80Updated 4 months ago
- ☆22Updated last year
- workflow used to prepare PPB-Affinity database☆28Updated last year
- This is the official repository of paper - GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation (ICML2024)☆42Updated last year
- Target Sequence-Conditioned Generation of Peptide Binders via Masked Language Modeling☆108Updated 2 months ago
- ☆39Updated last year
- S-PLM: Structure-aware Protein Language Model via Contrastive Learning between Sequence and Structure☆71Updated last week
- Guiding diffusion models for antibody sequence and structure co-design with developability properties.☆35Updated last year
- Official open-source of Antibody Design Using a Score-based Diffusion Model Guided by Evolutionary, Physical, and Geometric Constraints☆44Updated 6 months ago
- RAG-ESM is a retrieval-augmented framework that allows to condition pretrained ESM2 protein language models on homologous sequences☆27Updated 4 months ago
- The official implementation of DiffAbXL benchmarked in the paper "Exploring Log-Likelihood Scores for Ranking Antibody Sequence Designs",…☆91Updated 6 months ago
- ☆15Updated last year
- Repo of AntiBMPNN project for antibody sequence design.☆23Updated 7 months ago
- Deep learning framework for protein sequence design from a backbone scaffold that can leverage the molecular context including non-protei…☆46Updated last month
- ☆45Updated 9 months ago
- benchmarking AI-powered docking methods from the perspective of virtual screening☆30Updated last year
- Sequence-Structure-Surface Model for Protein Fitness Prediction (S3F)☆47Updated last year