SOTAVerified

Protein Design

Formally, given the design requirements of users, models are required to generate protein amino acid sequences that align with those requirements.

Papers

Showing 111120 of 175 papers

TitleStatusHype
Practical and Asymptotically Exact Conditional Sampling in Diffusion ModelsCode1
Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language ModelsCode2
Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces0
Protein Design with Guided Discrete DiffusionCode1
Improving few-shot learning-based protein engineering with evolutionary samplingCode1
Robust Model-Based Optimization for Challenging Fitness LandscapesCode0
Knowledge-Design: Pushing the Limit of Protein Design via Knowledge RefinementCode2
Scalable Coupling of Deep Learning with Logical ReasoningCode0
Diffusion Models for Constrained DomainsCode1
DiffDock-PP: Rigid Protein-Protein Docking with Diffusion ModelsCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GraphTransPerplexity6.63Unverified
2StructGNNPerplexity6.4Unverified
3AlphaDesignPerplexity6.3Unverified
4GCAPerplexity6.05Unverified
5GVPPerplexity5.36Unverified
6ProteinMPNNPerplexity4.61Unverified
7PiFoldPerplexity4.55Unverified
8Knowledge-DesignPerplexity3.46Unverified
#ModelMetricClaimedVerifiedStatus
1ESM-IFPerplexity6.44Unverified
2GVP-largePerplexity6.17Unverified