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 71–80 of 175 papers

TitleStatusHype
Generative Adversarial Model-Based Optimization via Source Critic RegularizationCode0
Conditioning by adaptive sampling for robust designCode0
Gate-based Quantum Computing for Protein DesignCode0
PDB-Struct: A Comprehensive Benchmark for Structure-based Protein DesignCode0
Protein Sequence Design with Batch Bayesian OptimisationCode0
From thermodynamics to protein design: Diffusion models for biomolecule generation towards autonomous protein engineering—0
Folding and Stabilization of Native-Sequence-Reversed Proteins—0
Computational Protein Science in the Era of Large Language Models (LLMs)—0
Computational Protein Design with Deep Learning Neural Networks—0
Fast fixed-backbone protein sequence and rotamer 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