[IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models
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Updated
Jun 17, 2023
[IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models
The official codebase of the paper "Chemical language modeling with structured state space sequence models"
Multi-target de novo molecular generator conditioned on AlphaFold's latent protein embeddings.
The official open-source repository for AutoMolDesigner, an easy-to-use Python application dedicated to automated molecular design.
InertDB, a resource of biologically inactive small molecules
A large language model for predicting membrane permeability of chemically modified peptides particularly for cyclic peptides. This method will help to discover novel orally deliverable peptide
Educational repo: building a tiny MolFormer-style encoder transformer from scratch for chemists. Sister course to GNNs-For-Chemists.
DL Pipeline for Antibiotic Discovery
Repository of artifacts for the BERTology manuscript
Code and data of "Lost in Translation: Chemical LMs and the Misunderstanding of Molecule Structures" paper
Controlled comparison of subword tokenizer vocabularies (BPE vs Unigram-LM) over chemistry SMILES
Parameter-efficient LoRA fine-tuning of Mistral-7B on USPTO reaction SMILES for reagent prediction and yield regression, with a chemistry-aware tokenizer extension and RDKit-backed data pipeline.
The official codebase for the reproducible experiments of the paper "Enhancing deep chemical reaction prediction with advanced chirality and fragment representation"
ModChemBERT: ModernBERT as a Chemical Language Model
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