De Novo Drug Design with RNNs and Transformers
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Updated
Dec 2, 2024 - Jupyter Notebook
De Novo Drug Design with RNNs and Transformers
Systemic Evolutionary Chemical Space Exploration for Drug Discovery
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.
Python-based GUI to collect Feedback of Chemist in Molecules
Research repo for AI aided drug discovery, de novo drug development and related topics
Code pipeline for the PaccMann^RL in iScience: https://www.cell.com/iscience/fulltext/S2589-0042(21)00237-6
Open source code for DyScore
Code for paper on automation of discovery and synthesis of targeted molecules: https://iopscience.iop.org/article/10.1088/2632-2153/abe808
HELM-GPT: de novo macrocyclic peptide design using generative pre-trained transformer
A recurrent neural network (RNN) that generates drug-like molecules for drug discovery.
TAGMol: Target-Aware Gradient-guided Molecule Generation
Inverse Reinforcement Learning-based Structural Evolution of Small Molecules
De novo Drug Design via Binary Representations of SMILES for avoiding the Posterior Collapse Problem (BIBM 2021)
De novo drug discovery of protein-specific using Transformer Neural Network
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