Multi-target de novo molecular generator conditioned on AlphaFold's latent protein embeddings.
-
Updated
Nov 19, 2024 - Jupyter Notebook
Multi-target de novo molecular generator conditioned on AlphaFold's latent protein embeddings.
Nature Computational Science: Unbiased organism-agnostic and highly sensitive signal peptide predictor with deep protein language model
PLMFit platform for TL on PLMs
Developing classification models for DNA-Binding proteins through machine learning and large language models
Collection of prediction models for biological tasks
TooT-PLM-ionCT: A bioinformatics framework utilizing protein language models for accurate classification of ion channels and ion transporters from membrane proteins.
Exploring protein sequence generation of a target protein family using pretrained and fine-tuned protein language models (pLMs).
Add a description, image, and links to the protein-language-models topic page so that developers can more easily learn about it.
To associate your repository with the protein-language-models topic, visit your repo's landing page and select "manage topics."