bowang-lab / AGILELinks
AGILE Platform: A Deep Learning-Powered Approach to Accelerate LNP Development for mRNA Delivery
☆44Updated 4 months ago
Alternatives and similar repositories for AGILE
Users that are interested in AGILE are comparing it to the libraries listed below
Sorting:
- ImageMol is a molecular image-based pre-training deep learning framework for computational drug discovery.☆54Updated 7 months ago
- [NeurIPS 2023] DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening☆110Updated last year
- Interpretable bilinear attention network with domain adaptation improves drug-target prediction.☆128Updated 2 years ago
- [Briefings in Bioinformatics] A Survey of Generative AI for de novo Drug Design☆89Updated 10 months ago
- ☆45Updated last year
- Official implementation of DrugGEN: Target Specific De Novo Design of Drug Candidate Molecules with Graph Transformer-based Generative Ad…☆79Updated 2 weeks ago
- SELFormer: Molecular Representation Learning via SELFIES Language Models☆101Updated 10 months ago
- ESM-GearNet for Protein Structure Representation Learning (https://arxiv.org/abs/2303.06275)☆109Updated last year
- S-PLM: Structure-aware Protein Language Model via Contrastive Learning between Sequence and Structure☆68Updated 3 months ago
- A unified framework for predicting drug-target interactions, binding affinities and activation/inhibition mechanisms.☆46Updated 2 months ago
- A Text-guided Protein Design Framework, Nat Mach Intell 2025 (https://www.nature.com/articles/s42256-025-01011-z)☆94Updated 8 months ago
- This repo contains the codes for our paper "End-to-End Full-Atom Antibody Design"☆119Updated 7 months ago
- Geometry Deep Learning for Drug Discovery and Life Science☆71Updated last year
- Graph Network for protein-protein interface☆120Updated last year
- Implementation of ICLR23 paper "Molecule Generation for Target Protein Binding with Structural Motifs"☆69Updated last year
- ☆52Updated last year
- Llamole: Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning☆33Updated 11 months ago
- A bi-directional attention neural network for compound–protein interaction and binding affinity prediction.☆32Updated 2 years ago
- An awesome & curated list of docking papers☆115Updated 6 months ago
- ☆51Updated 4 years ago
- Scalable Deep Learning for RNA Secondary Structure Prediction☆38Updated 2 weeks ago
- Working collection of papers, repos and models of transformer based language models trained or tuned for the Chemical domain, from natura…☆68Updated 2 years ago
- PSICHIC (pronounced Psychic) - PhySIcoCHemICal graph neural network for learning protein-ligand interaction fingerprints from sequence da…☆116Updated last year
- Papers about Structure-based Drug Design (SBDD)☆125Updated last month
- [ICML-23 ORAL] ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts☆98Updated last year
- Sequence-to-drug concept adds a perspective on drug design. It can serve as an alternative method to SBDD, particularly for proteins that…☆71Updated 2 years ago
- a deep learning architecture for protein-ligand binding affinity prediction☆76Updated last year
- ☆76Updated 7 months ago
- Awesome De novo drugs design papers☆90Updated last year
- A novel graph neural network strategy with the Vina distance optimization terms to predict protein-ligand binding affinity☆32Updated last year