molecular

Biostate AI Raises $12M Series A to Train the ChatGPT of Molecular Medicine

Biostate AI, a molecular diagnostics startup combining next-generation RNA sequencing (RNAseq) with generative AI, announced today it has raised $12 million in a Series A funding round led by Accel. The round also saw...

Toward video generative models of the molecular world

Because the capabilities of generative AI models have grown, you have probably...

The Floyd-Warshall Algorithm From Graph Theory, Applied to Parsing Molecular Structures

Hands-on explanations assisted by easy JavaScript codeThe Floyd-Warshall algorithm is crucial in graph theory because it provides an efficient means to compute the shortest paths between all pairs of nodes in a graph. This...

Large Language Models in Molecular Biology Introduction Large Language Models The Genetic Dogma Variation in our DNA Language Models in Molecular Biology Looking Forward Conclusion Acknowledgments References

One essential clue in determining whether a given variant is benign, or at the least not too deleterious, comes from comparing human genetics to the genetics of close relatives comparable to chimpanzees and other...

Charge Descriptors (features) for molecular property prediction.

On this post i try to analyze concerning the charge descriptors fingerprints as one may call it . David Winkler 2009 published an article on it Towards Novel Universal Descriptors: Charge Fingerprints . It...

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