QizhiPei/biot5-base

This is a ReactionT5 pre-trained to predict the products of reactions.

This is a ReactionT5 pre-trained to predict the reactants of reactions. You can use the demo here.

This is a ReactionT5 pre-trained to predict the products of reactions. You can use the demo here.

# DrugGen 2: A disease-aware language model for enhancing drug discovery DrugGen-2 is a disease‑aware language model specialized for generating drug-like SMILES structures based on both disease pathways and protein sequence.

This model is a BERT-like sequence classifier for 221 human protein drug targets, fine-tuned from gbyuvd/chemselfies-base-bertmlm on a dataset derived ChemBL34 (Zdrazil et al. 2023). It predicts potential drug targets using chemical structures represented as SELFIES (Self-Referencing Embedded…

This model aims to be a base template for new models. It has been generated using this raw template.