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 161–170 of 175 papers

TitleStatusHype
Generative modeling for protein structures—0
Void distributions reveal structural link between jammed packings and protein cores—0
A natural upper bound to the accuracy of predicting protein stability changes upon mutations—0
Modular decomposition of protein structure using community detection—0
Computational Protein Design with Deep Learning Neural Networks—0
mGPfusion: Predicting protein stability changes with Gaussian process kernel learning and data fusionCode0
Variational auto-encoding of protein sequencesCode0
Prediction of amino acid side chain conformation using a deep neural network—0
Protein design by multiobjective optimization: evolutionary and non-evolutionary approaches—0
Rigidity strengthening is a vital mechanism for protein-ligand binding—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