Log in to save to my catalogue

3D molecular generative framework for interaction-guided drug design

3D molecular generative framework for interaction-guided drug design

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d0211f0150f74e5ab63156f8398ffa7a

3D molecular generative framework for interaction-guided drug design

About this item

Full title

3D molecular generative framework for interaction-guided drug design

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2024-03, Vol.15 (1), p.2688-12, Article 2688

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Deep generative modeling has a strong potential to accelerate drug design. However, existing generative models often face challenges in generalization due to limited data, leading to less innovative designs with often unfavorable interactions for unseen target proteins. To address these issues, we propose an interaction-aware 3D molecular generativ...

Alternative Titles

Full title

3D molecular generative framework for interaction-guided drug design

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_d0211f0150f74e5ab63156f8398ffa7a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d0211f0150f74e5ab63156f8398ffa7a

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-024-47011-2

How to access this item