There is a newer version of the record available.

Published October 26, 2024 | Version v2

Dataset and Checkpoints of MolEdit: In-silico 3D Molecular Editing through Physics-Informed and Peference-Aligned Generative Foundation Models

Authors/Creators

  • 1. ROR icon Peking University

Description

This repository hosts the pre-trained checkpoints and data utilized for the development of MolEdit. The corresponding research paper, titled "In-silico 3D Molecular Editing through Physics-Informed and Peference-Aligned Generative Foundation Models" (an early version is preprinted at doi:10.26434/chemrxiv-2023-j2n6l-v2) and the corresponding GitHub repository of MolEdit details the application and validation of these checkpoints and data. For further information, please refer to the README.md file contained within this repository.

Files

checkpoints.zip

Files (3.2 GB)

Name Size
md5:3fca49c92cee9dc2b6d7afbe1a5c17d8
2.1 GB Preview Download
md5:8830ef0b1fdc5fd83e870fb6193b63e1
1.0 GB Download
md5:794ab95be54e3c94877d9a512a48b3e8
3.2 kB Preview Download
md5:ede8366978a324d3718f4265c2d7c10a
124.2 MB Download