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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "DynamicBind: predicting l" (4 stories)

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DynamicBind: predicting ligand-specific protein-ligand complex structure with a deep equivariant generative model
Lead StoryNaturegeneral
Feb 5, 2024

DynamicBind: predicting ligand-specific protein-ligand complex structure with a deep equivariant generative model

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1uaG1sOFFCTE5YZzdJbGhEZFZxY3c1M0NDNmN3TGhkYlBFdzlsUnN4aE84aFdvZHRFSEV2UmdUV3dsd241UzJIT0JrM3J5SmF6VHFVQTNUeDluNERYZWhv?oc=5" target="_blank">DynamicBind: predicting ligand-specific protein-ligand complex structure with a deep equivariant generative model</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "DynamicBind: predicting l"

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3 stories displayed
Artificial intelligence insight on structural basis and small molecule binding niches of NMDA receptor
Science Partner Journalsgeneral

Artificial intelligence insight on structural basis and small molecule binding niches of NMDA receptor

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE5rZmIycFdreDdaZ21GNXRuVmZIMlM4V0N6N3JXWGIzZUl2RjNlU21VZU43ZDhJbVBUbEw1SVNHY185aVZBUVNxTnJ0VVhlZ1VLalVwV0FTRXBmOW5pdE1XR0Roemc?oc=5" target="_blank">Artificial intelligence insight on structural basis and small molecule binding niches of NMDA receptor</a>  <font color="#6f6f6f">Science Partner Journals</font>

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Assessing the potential of deep learning for protein–ligand docking
Naturegeneral

Assessing the potential of deep learning for protein–ligand docking

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBNRDhQMWdHY1M3LUpTazh4Ylh3VVN5WVFhOEtXV3pVOEE2VUZOdjdMVlV4N2tYVVZuSGxzMmx6aEQ4dlNaRDN3YXpjS05GQ0diYmtQb3diTE1WbU91MVRv?oc=5" target="_blank">Assessing the potential of deep learning for protein–ligand docking</a>  <font color="#6f6f6f">Nature</font>

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A Folding-Docking-Affinity framework for protein-ligand binding affinity prediction | Communications Chemistry
Natureworld

A Folding-Docking-Affinity framework for protein-ligand binding affinity prediction | Communications Chemistry

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1NUk5XVmdkT09qNGhPZEs2b1NtOW5KcW50QzdkMGNYd2Q1UzdJMDhObzdSalFGTUV5Y3BLLUhUdWdTakp5THNDcF9xbUpRRWdzYTZyeVFGejVfRlZReF9V?oc=5" target="_blank">A Folding-Docking-Affinity framework for protein-ligand binding affinity prediction | Communications Chemistry</a>  <font color="#6f6f6f">Nature</font>

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