Many of them could not be targeted by traditional inhibitors due to their structural complexity, off-target effects and so on. Second, traditional inhibitors only block part of the protein’s function, while PROTACs degrade the protein, thus eliminating all its functions. Third, traditional kinase...
5) Function to Sequence CNN-based • VAE-based • GAN-based • Transformer-based • Bayesian method • Reinforcement Learning • Flow-based • RNN-based • LSTM-based • Autoregressive • Boltzmann machine • Diffusion-based • GNN-based • Score-based 6) Function to ...
Deciphering the relationship between a gene and its genomic context is fundamental to understanding and engineering biological systems. Machine learning has shown promise in learning latent relationships underlying the sequence-structure-function paradig
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We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media. By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some...
For protein-ligand binding affinity prediction, the accuracy of the prediction is important for the design and development of drugs, understanding protein function and interaction mechanisms, etc. Therefore, even if the lift in RMSE is small, our method can improve the accuracy of the prediction an...
in a number of chromosomal translocations causing 5–10% acute leukemia in children and adults with a poor prognosis [10,20]. We summarize the biology, structures, structure–function relationships and inhibition of the critical PPIs involving MLL1 as well as its major fusion proteins (Fig.1c)...
Considering the significant difference of sequence length between the two types of folders, the folding type of a protein may be predicted by its length. On the present dataset, the proper threshold of sequence length is 95 where the Sn (69.05%) and Sp (69.77%) of the prediction are approx...
a greater number of subunits within a complex can provide a higher concentration of active sites. This can be directly beneficial to the kinetics of its enzymatic function. If the substrate concentration is high, the rate of enzyme activity is a function of not only its rate-constant and enzym...
Self-supervised neural language models with attention have recently been applied to biological sequence data, advancing structure, function and mutational effect prediction. Some protein language models, including MSA Transformer and AlphaFold’s EvoForm