This new article publication from Acta Pharmaceutica Sinica B, discusses how structure-guided design of picomolar-level macrocyclic TRPC5 channel inhibitors with antidepressant activity.
In drug discovery, virtual screening is a fast and cost-effective way of narrowing down vast chemical libraries to identify the most promising hits, reducing synthesis and testing requirements while ...
Overview AI is speeding up drug discovery by analyzing large biological and chemical data in a short time.Deep learning and AI systems help design new drug mole ...
When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer solutions that are not physically sound. Subscribe to our newsletter for the latest ...
This new article publication from Acta Pharmaceutica Sinica B, discusses how structure-guided design of picomolar-level macrocyclic TRPC5 channel inhibitors with antidepressant activity.
The most visible impact of AI seems to be in coding, but it could also be poised to disrupt other hard sciences.
The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds-those with high potency, selectivity, and favorable metabolic properties-at the earliest stages ...
Nimbus and Eli Lilly collaborate to develop an oral treatment for obesity, leveraging computational chemistry and structure-based drug design. The partnership builds on previous efforts targeting AMPK ...
KAIST (President Kwang Hyung Lee) announced on the 10th that a research team led by Professor Woo Youn Kim in the Department of Chemistry has developed an AI model named BInD (Bond and ...
TOKYO--(BUSINESS WIRE)--Elix, Inc. (CEO: Shinya Yuki / Headquarters: Tokyo; hereinafter “Elix”) is pleased to announce that its AI drug discovery platform, Elix ...
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