概览介绍
Chemical foundation model for learned molecular representations, property prediction and conditional molecule generation. Independent BioAtlas accuracy is not yet measured.
信息已比对权威文献或官方白皮书;非实验性跑分。 权威出处 · 最后核对: 18/10/2026, 00:00:00 UTC
Loading BioAtlas...
开发机构 Luo Lab →
Chemical foundation model for learned molecular representations, property prediction and conditional molecule generation. Independent BioAtlas accuracy is not yet measured.
Chemical foundation model for learned molecular representations, property prediction and conditional molecule generation. Independent BioAtlas accuracy is not yet measured.
信息已比对权威文献或官方白皮书;非实验性跑分。 权威出处 · 最后核对: 18/10/2026, 00:00:00 UTC
Use this citation format when referencing ChemFM in scientific publications and benchmark papers.
@software{chemfm_2026,
title = {{ChemFM}},
author = {{Luo Lab}},
year = {2026},
url = {https://github.com/TheLuoFengLab/ChemFM},
note = {Indexed on aibioatlas - AI for Biology and Drug Discovery}
}Live scientific citations queried from Europe PMC and PubMed for ChemFM.
Missing values mean the catalog has no recorded information. They do not mean a feature is absent.
No software–hardware integration has been verified for this entry yet. Explore documented research workflows.
No licensed product photograph recorded for ChemFM yet. Visit the official resource below for manufacturer imagery.
同一科学领域的同类算法与工具。
Source-scoped research method · Confirm distribution and exact release
ADMET-AI — admet-property-prediction
Research / method authors
Research AI model / method · Research code or publication
Diffusion-based ligand molecule generation constrained by specified pocket and pharmacophore interactions
Sekijima Lab
Source-scoped research method · Confirm distribution and exact release
DiffSBDD — structure-conditioned-molecular-generation
Research / method authors
Source-scoped research method · Confirm distribution and exact release
Pocket2Mol — structure-conditioned-molecular-generation
Research / method authors
暂无与此工具关联的已验证学术动态。
浏览全部生物AI动态 →Public research method/code
费用根据官方最近一次公布的说明整理。请在官方网站确认最新报价与学术折扣。
Feedback from researchers and computational biologists evaluating ChemFM.
No peer reviews submitted yet for ChemFM.
Be the first verified researcher or computational biologist to submit an evaluation of biological accuracy and workflow performance.