CLIP-Based Virtual Screening for Drug Discovery
Leverage contrastive language-image pretraining (CLIP) for zero-shot virtual screening of drug molecules against protein targets.
Powerful features designed for modern biomedical research
Screen novel targets without training data using CLIP embeddings
Joint molecular-protein embedding space for similarity search
Screen millions of compounds in hours with GPU-accelerated inference
Iteratively improve screening with experimental feedback
Visualize molecular features driving binding predictions
RESTful API for integration with existing drug discovery pipelines
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Join thousands of researchers using DrugClip Agent to accelerate their work