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 101110 of 175 papers

TitleStatusHype
Generative artificial intelligence for de novo protein design0
Score-Based Generative Models for Designing Binding Peptide BackbonesCode1
DockGame: Cooperative Games for Multimeric Rigid Protein Docking0
Fast protein backbone generation with SE(3) flow matchingCode2
Expected flow networks in stochastic environments and two-player zero-sum gamesCode0
Backdiff: a diffusion model for generalized transferable protein backmapping0
Boosting AND/OR-Based Computational Protein Design: Dynamic Heuristics and Generalizable UFO0
OpenProteinSet: Training data for structural biology at scaleCode4
Hypergraph Isomorphism ComputationCode2
Metropolis Sampling for Constrained Diffusion Models0
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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