Trifuse-DTI-pd1-prioritization
Public code release for TriFuse-DTI: multitask small-molecule and protein representation learning for PD-1 association prioritization.
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This is 1 of 86 launches in computational biology and chemistry software — see how it stacks up on momentum and crowding →
156 other launches read as similar to this one →
Details
- External ID
- 1415108930
- Source
- GITHUB
- Company
- —
- Product
- Trifuse-DTI-pd1-prioritization
- Website domain
- github.com
- Launched
- Oct. 12, 2026
- Cohort
- —
- Upvotes
- 13
- Upvotes percentile
- 0.23
- Tags
- —
Enrichment
- Niche
- computational biology and chemistry software
- Vertical
- Healthcare
- Function
- Model & infra
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Hobby / open-source project
- Normalized one-liner
- representation learning model for pd-1 drug prioritization
- Manually corrected
- False
Could you build this?
No Drug-target interaction (DTI) prioritization using multitask representation learning for PD-1 requires deep computational biology, bioinformatics, and machine learning research expertise.
What it would actually take: Requires PyTorch/JAX with specialized bioinformatics libraries (RDKit, BioPython) to implement multimodal graph neural networks and protein language models (like ESM) trained on bioassay datasets (ChEMBL, BindingDB). Needs domain experts in cheminformatics and structural biology to evaluate binding affinity predictions and biological plausibility.
Competitors
Other products that read as similar to this one — 156 launches clear the similarity bar, closest 8 shown.
Attention rank: #103 of 157 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 342 days after the earliest competitor.
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Other launches for this product
- No other launches for this product.