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AI-Driven Computational Design of Peptide-Based WWP1 Inhibitors as Promising Therapeutic Agents Against Breast Cancer, Including Triple-Negative Subtype

Breast cancer (BC) is the second most common noncutaneous cancer and the second leading cause of cancer-related death in women. BC is classified into three primary subtypes, with triple-negative breast cancer (TNBC) having the poorest prognosis because it lacks specific targetable markers. Preclinical studies on TNBC indicated a common occurrence of diminished tumor-suppressor activity of PTEN,…

We haven't written up this one. bioRxiv has the full story — the link below goes straight to it.

Read the original at biorxiv.org →

More in AI

Mistral AI Regional Endpoints Bring EU and US Inference Controls to Enterprise Deployments

Mistral AI has introduced regional inference endpoints for Europe and the United States, giving API customers a documented way to select where model inference is processed.

  • Mistral AI introduces regional inference endpoints in Europe and US for enterprise deployments.
  • Two dedicated API base URLs provided: api.eu.mistral.ai for Europe, api.us.mistral.ai for US.
  • Regional processing applies to data involved in model execution, excluding control plane elements.

Compression Is Prediction — and It Explains Why LLMs Actually Work

Here's something that blew my mind recently: compression and language modeling are, at their core, trying to solve the exact same problem.

  • LLMs function as advanced compression algorithms predicting next data in sequence
  • Training minimizes cross-entropy loss, reducing bits to encode training data
  • Improved compression methods enhance LLM performance and expand capabilities