Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
Generation of protein sequences and evolutionary alignments via discrete diffusion models
Awesome Protein Representation Learning
📖🔬☕ BioJava is an open-source project dedicated to providing a Java library for processing biological data.
Get protein embeddings from protein sequences
A Python API for the RCSB Protein Data Bank (PDB)
Lbster: Language models for Biological Sequence Transformation and Evolutionary Representation
AbLang: A language model for antibodies
FAPLM: A Drop-in Efficient Pytorch Implementation of Protein Language Models
Implementation of ProteinBERT in Pytorch
Open-source usearch
Neural Networks for Protein Sequence Alignment
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
Open-source AI research agent for protein watermarking, autonomous research workflows, reproducible datasets $SALUTEFACE: 7avWDoV6xH2Fw4zeqnEAULeQtEvayeqM11uxPzMupump
Inference of couplings in proteins and RNAs from sequence variation
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology. (DEPRECATED)
Protein 3D structure prediction pipeline
Affinity Protein-Protein Transformers—State of the art protein-protein binding affinity in seconds!
Inference code for PoET: A generative model of protein families as sequences-of-sequences
Multi-task and masked language model-based protein sequence embedding models.
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