Next-generation micro-frontend framework based on ESM, sandbox-free with zero runtime overhead, supporting multi-framework hybrid development

PDD: Awesome Phenotypic Drug Discovery

Collection of papers for Molecular Representation using AI

The one model for genesis of peptide ligands

CADD、AIDD学习笔记 AIDD notes

This project uses a Variational Autoencoder (VAE) to generate SMILES strings for novel compound generation. The VAE model is trained on a dataset of existing chemical compounds and can generate new, valid SMILES strings, which may represent potentially new and useful chemical entities.

This is a model find optimized PARP1 inhibitor based on ORGANIC

📁study logs about Drug Discovery with AI

⚕️2024 Herbstsemester Applied Mathematics and Informatics in Drug Discovery @ UniBas

An AIDD project for practice only with Target Neprilysin

Deepeptide is a general-purpose AI-based pipeline for therapeutic oligopeptides discovery on various metabolic diseases.