VirtualPatientEngine / AIAgents4Pharma
AI Agents for drug discovery, drug development, and other pharmaceutical R&D
☆38Updated this week
Alternatives and similar repositories for AIAgents4Pharma
Users that are interested in AIAgents4Pharma are comparing it to the libraries listed below
Sorting:
- Don't worry about DrugBank licensing - write code that knows how to download it automatically☆47Updated 3 months ago
- StarGazer is a tool designed for rapidly assessing drug repositioning opportunities. It combines multi-source, multi-omics data with a no…☆35Updated last year
- Code and data for the Transformer neural network trained to translate between molecular text representations and create molecular embeddi…☆58Updated 2 years ago
- Code to accompany the "Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery" manuscript (Artificial Intelligence…☆33Updated last week
- ☆26Updated last month
- ☆66Updated last year
- This repository provides an implementation of the DTiGEMSplus tool, a network-based method for computational Drug-Target Interaction pred…☆27Updated 3 years ago
- ☆16Updated 3 years ago
- SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)☆65Updated 5 years ago
- Fine-tuning of ChemBERTA LLMs to predict molecules' HIV inhibition replication.☆26Updated last year
- ☆17Updated 8 months ago
- Drug Repurposing using TigerGraph and Graph Machine Learning.☆19Updated 3 years ago
- A Knowledge Graph for Relational Learning On Biological Data☆96Updated last year
- AGILE Platform: A Deep Learning-Powered Approach to Accelerate LNP Development for mRNA Delivery☆37Updated 3 months ago
- Awesome list of the data and AI/ML related projects with direct Life Science Companies participation☆34Updated 8 months ago
- Source code and data repository for "Ensembles of knowledge graph embedding models improve predictions for drug discovery"☆20Updated last year
- A collection of research papers, datasets and software related to knowledge graphs for drug discovery. Accompanies the paper "A review of…☆228Updated last month
- MolKGNN is a deep learning model for predicting biological activity or molecular properties. It features in 1. SE(3)-invariance 2. confor…☆19Updated last year
- ☆11Updated 2 years ago
- ☆12Updated 2 weeks ago
- Parameter-efficient embeddings for proteins, pretrained using a contrastive loss.☆29Updated 4 years ago
- Contextual AI models for single-cell protein biology☆86Updated 3 months ago
- NVIDIA BioNeMo blueprint for generative AI-based virtual screening☆67Updated 2 months ago
- Official implementation of DrugGEN: Target Specific De Novo Design of Drug Candidate Molecules with Graph Transformer-based Generative Ad…☆63Updated last month
- HoTS: Sequence-based prediction of binding regions and drug-target interactions.☆26Updated 2 years ago
- Multi-Channel Deep Chemogenomic Modeling of Receptor-Ligand Binding Affinity Prediction for Drug Discovery☆27Updated 4 years ago
- ☆11Updated 5 years ago
- DeepGO with Fuzzy DL☆30Updated 2 years ago
- TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design☆197Updated last year
- A deep learning framework for high-throughput mechanism-driven phenotype screening☆49Updated 4 years ago