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National Institute of Allergy and Infectious Disease
NIH 3D
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NIH3D

Identification of novel, potent and selective GCN2 inhibitors as first-in-class anti-tumor agents

https://doi.org/10.60705/3dpx/14937.2
NIH 3D Model Entry
3DPX-014937
How to Cite
NIH 3D. (2020). Identification of novel, potent and selective GCN2 inhibitors as first-in-class anti-tumor agents (Version 2.x). NIH 3D. https://doi.org/10.60705/3DPX/14937.2
Summary Information

Title: Identification of novel, potent and selective GCN2 inhibitors as first-in-class anti-tumor agents

Description:

The 3D representations presented in this DOI were automatically generated by NIH's 3D workflows using data extracted from PDB 6N3N in the Protein Data Bank.

Creator(s):

Contributor(s):

  • NIH 3D, Data Manager

Publisher: NIH 3D

Publication Year: 2020

Version: 2.x

"x" corresponds to any minor version