SOTAVerified

Multiple Sequence Alignment

Papers

Showing 110 of 54 papers

TitleStatusHype
PEvoLM: Protein Sequence Evolutionary Information Language ModelCode1
Exploring evolution-aware & -free protein language models as protein function predictorsCode1
Neural Distance Embeddings for Biological SequencesCode1
Enhancing the Protein Tertiary Structure Prediction by Multiple Sequence Alignment GenerationCode1
Expert-guided protein language models enable accurate and blazingly fast fitness predictionCode1
ApHMM: Accelerating Profile Hidden Markov Models for Fast and Energy-Efficient Genome AnalysisCode1
Accurate Protein Structure Prediction by Embeddings and Deep Learning RepresentationsCode1
MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-TrainingCode1
Align-RUDDER: Learning From Few Demonstrations by Reward RedistributionCode1
PoET: A generative model of protein families as sequences-of-sequencesCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1dlpalign_cnn_bilstmTotal Column Score65.47Unverified
#ModelMetricClaimedVerifiedStatus
1dlpalign_cnn_bilstmTotal Column Score82.52Unverified
#ModelMetricClaimedVerifiedStatus
1dlpalign_cnn_bilstmTotal Column Score42.59Unverified