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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 81–90 of 175 papers

TitleStatusHype
Benchmarking deep generative models for diverse antibody sequence design—0
BERT and LLMs-Based avGFP Brightness Prediction and Mutation Design—0
Boosting AND/OR-Based Computational Protein Design: Dynamic Heuristics and Generalizable UFO—0
Breaking the Performance Ceiling in Complex Reinforcement Learning requires Inference Strategies—0
Clusters and Coarse Partitions in LP Relaxations—0
Computational design of target-specific linear peptide binders with TransformerBeta—0
Computational Protein Design Using AND/OR Branch-and-Bound Search—0
Computational Protein Design with Deep Learning Neural Networks—0
Computational Protein Science in the Era of Large Language Models (LLMs)—0
Conditional Generative Modeling for De Novo Hierarchical Multi-Label Functional Protein Design—0
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All datasetsCATH 4.2CATH 4.3

Benchmark Results

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