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 121130 of 175 papers

TitleStatusHype
CCPL: Cross-modal Contrastive Protein Learning0
Protein Sequence Design with Batch Bayesian OptimisationCode0
Diffusion Models in Bioinformatics: A New Wave of Deep Learning Revolution in Action0
A Text-guided Protein Design FrameworkCode2
Geometry-Complete Diffusion for 3D Molecule Generation and OptimizationCode2
Generating Novel, Designable, and Diverse Protein Structures by Equivariantly Diffusing Oriented Residue CloudsCode1
RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA DesignCode1
Protein Structure Prediction until CASP150
AlphaFold Distillation for Protein DesignCode1
PiFold: Toward effective and efficient protein inverse foldingCode1
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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