
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.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
